The Complete Tableau Bootcamp for Data Visualization
Monday, May 31, 2021
Free Coupon Discount
- Created by Jose Portilla, Rayan Slim, 2 others
- English [Auto]
- Tableau 2020 Certified Associate Exam Guide A-Z (w Datasets)
- Master Course in Tableau 10 & 2020 for Business Intelligence
- Tableau 2020, 19, 18 & 10: Certified Associate certification
- TABLEAU 2018: Hands-On Tableau Training For Data Science!
- Tableau Specialist Certification Prep
- Tableau 2019 + Tableau 2018: Tableau DS Certification
Preview this Udemy Course GET COUPON CODE
Description
Welcome to the best online resource for learning about Tableau!
This course will teach you everything you need to know to create amazing data visualizations and dashboards with Tableau!
Every module of this course is carefully designed to teach you what you need to know to create amazing data visualizations and dashboards with Tableau. We start with the basics and gradually build up your Tableau skill set by leveraging awesome real world data sets to create visualizations for your portfolio of projects.
Upon completing this course you will be ready to tackle your own data projects with real world data sets and create Tableau dashboards to show off to your colleagues or even potential employers. Completion of this course also includes a certification you can post to your LinkedIn profile!
Inside the course we'll cover:
Installing and setting up Tableau Public on your computer
Visual Analytics with Tableau
Tableau Mapping for Geographical Data
Basic Calculations
Table Calculations
Level of Detail (LOD) Expressions
Joins and Unions
Interactive Worksheets with Set Actions and Parameter Control
Spatial Mapping
Understanding Color Vision Deficiency
Build Sophisticated Dashboards and Unique, Engaging Stories through the Power of Data Visualization
and much, much more!
Not only do you get great technical content, but you will also get access to our Question and Answer Forums, where you and other students can get help on the course material and content.
All of this comes with a 30-day money back guarantee so you can enroll today completely risk free!
We'll see you inside the course!
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Learn Big Data(Spark) for Data Science–Machine Learning &NLP
Sunday, May 30, 2021
Learn Big Data(Spark) for Data Science–Machine Learning &NLP - Learn Big Data - Hadoop-Spark/PySpark & Data Science from basics of Stats,Machine Learning,NLP using Spark :AllLevels
- Created by Srini E
- English [Auto]
What you'll learn
- Understand Data Science & Machine Learning
- Need of Big Data and Distributed systems
- Big Data Overview
- Hadoop, YARN - Architecture
- Spark / PySpark - Over View and Architecture
- RDD and Data Frame Hands on Practices using PySpark - Spark Core, Spark SQL
- Statistics & Mathematics Basics using Spark
- Machine Learning Algorithms (Deeper Insights - Master Level ) - Linear Regression, Linear Regression Assumptions , Logistic Regression,AUC & ROC Curves , Decision_Trees, Clustering and More...
- Implementing Machine Learning Algorithms using Spark (Big Data) - Spark MLlib
- Natural Language Processing(NLP), Text Mining
- NLP using Spark
- Deep Learning
- End to End Implementation and Maintenance of Data Science / Machine Learning Algorithms in Production
- How to attend Data Science Interviews and build your CV
Description
This Course is designed for Beginners to start learning/Understanding Big Data & Data Science from the basics of Mathematics , Statistics, Machine Learning , NLP (Text Mining) & Deep Learning using Big Data technologies like Hadoop Spark/PySpark- MLib etc..
I will be teaching everything from scratch for any person to learn all Data Science related topics in detail from Scratch including Multiple Use cases with hands-on.
Also , Will be providing multiple use cases and Practical assignments for Spark Programming to Learn Machine Learning and Text Mining Etc..
Who this course is for:
ANY ONE who want to learn Big Data & Data Science (IT & Non-IT professionals)
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Apache Spark 3 - Spark Programming in Python for Beginners
Saturday, May 29, 2021
Apache Spark 3 - Spark Programming in Python for Beginners - Data Engineering using Spark Structured API
- Created by Prashant Kumar Pandey, Learning Journal
- English
What you'll learn
- Apache Spark Foundation and Spark Architecture
- Data Engineering and Data Processing in Spark
- Working with Data Sources and Sinks
- Working with Data Frames and Spark SQL
- Using PyCharm IDE for Spark Development and Debugging
- Unit Testing, Managing Application Logs and Cluster Deployment
Description
This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.
About the Course
I am creating Apache Spark 3 - Spark Programming in Python for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.
Who should take this Course?
I designed this course for software engineers willing to develop a Data Engineering pipeline and application using the Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.
Spark Version used in the Course
This Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open-source distribution.
Who this course is for:
Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark
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Full Android 11 Masterclass Course | 14 Real Apps - 43 Hours
Thursday, May 27, 2021
Full Android 11 Masterclass Course | 14 Real Apps - 43 Hours - The most comprehensive Android course, learn Android app development with Android Studio & Java and improve your skills
- Created by Oak Academy
- English [Auto]
What you'll learn
- Android
- This is the most comprehensive Android course. Learn Android app development with practices and build your android development skills.
- Due to its open-source nature, working with the Android platform necessitates constantly learning about the Android platform. My Android development course on Udemy keeps you ahead of this learning curve with hands-on lectures on Android operating systems and more.
- Learn the most used operating system on the planet
- Learn the new version of Android. Here it is: Android 11 (Android R)
- Learn Publishing Android App on Google Play
- Start from scratch and become a Professional Android App Developer
- In this course, we will build 14 different real Android Apps from scratch together
- Android applications' levels in this course are from easy to difficult
- Learn how to develop modern Android Apps in the simplest way and improve your self-confidence
- You will reinforce your existing Android information by applying
- Using SQLite database, you will understand how to work with external databases
- You will be able to develop Android applications with powerful architecture using Architecture Components (ViewModel, LiveData, Room).
- With Firebase, you will be able to develop real-time applications
- You will learn how to make a messaging app using Firebase
- You will be able to develop user-friendly interfaces using Material Design principles and components
- You will be able to develop modern Android apps
- This course is built to help beginners to start making applications in Android
- You will learn to develop games using Java Programming Language and Android Studio
- You will learn to develop applications by getting real-time data from the Internet
- You will have 14 different applications that you will publish on Google Play
- You can enroll this course if you want to develop advanced Android Applications using web integrated, online database.
Description
Hi there,
Due to its open-source nature, working with the Android platform necessitates constantly learning about the Android platform. My Android development course on Udemy keeps you ahead of this learning curve, with hands-on lectures on Android operating systems and more.
Welcome to the "Full Android 11 Masterclass Course | 14 Real Apps - 43 Hours" course.
This is the most comprehensive Android course. Learn Android app development with practices and build your android development skills.
Android is the most used operating system on the planet. In fact, it’s almost omnipresent in the mobile ecosystem. With millions of Android devices in use, and an incredible 500,000+ new Android devices activated daily, the popularity of Android applications is increasing exponentially - and with it, the demand for Android mobile application developers is soaring.
If you're interested in developing new and innovative applications for the world’s #1 mobile platform, this course is a perfect match for you.
This "Full Android 11 Masterclass Course | 14 Real Apps - 43 Hours" course will take you from beginner to advance level.
Our passion is to carry our experience with the right examples to anyone who will enroll in this course. In this course, you will learn Android app development step-by-step. While doing kind of show and tell in our lectures we are also explaining whys. During the lectures, we will be practicing with more than 10 examples and we will be learning to build and publish 14 major apps.
What’s important
This course is expertly designed to teach everyone from complete beginners, right through to professionals as a refresher.
In this course you will learn;
● Android Environment Setup - Download, install and configure the necessary software
● Creating a New Project
● Android Studio
● Android Components
● Components and Life Cycles
● Publishing Your App on Google Play and more
● You will reinforce your existing android information by applying.
● You will learn to develop games using Android Studio
● You will learn to develop applications by getting real-time data from the Internet.
● Using SQLite database, you will understand how to work with external databases
● You will be able to develop applications with powerful architecture using Architecture Components (ViewModel, LiveData, Room).
● You will learn how to make a messaging app using Firebase.
● With Firebase, you will be able to develop real-time applications
● You will be able to develop user-friendly interfaces using Material Design principles and components.
● You will be able to develop modern Android apps.
At the end of this course, you have following apps in the Google Play Store:
To-Do List
Math Game
Calculator
Number Guessing Game
My Information Book
Note Take App
Photo Album
Quiz Game
Chat App
Weather App
Flag Quiz
MP3 Player
Balloon Burst Game
Help the Innocent Bird
Why would you want to take this course?
Our answer is simple: The quality of teaching.
OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in Turkish, English, Portuguese, Spanish, and a lot of different language on Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increase its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.
When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.
This course will take you from a beginner to a more experienced level.
We will take you from beginner to advance level. You will learn step-by-step with hands-on demonstrations.
Fresh Content
It’s no secret how technology is advancing at a rapid rate. New tools are released every day, Google updates android and it’s crucial to stay on top of the latest knowledge. With this course, you will always have a chance to follow the latest trends.
You'll also get:
● Lifetime Access to The Course
● Fast & Friendly Support in the Q&A section
● Udemy Certificate of Completion Ready for Download
Dive in now "Full Android 11 Masterclass Course | 14 Real Apps - 43 Hours" course.
We offer full support, answering any questions.
Who this course is for:
Those who want to develop an Android mobile application
Who wants to improve their existing android knowledge
Those who want to develop applications using the Java programming language
Those who want to develop modern applications and applications with a user-friendly interface
Those who want to develop applications with Firebase Real-Time Database, Architectural Components (View Model, Live Data, Room) and SQLite
Those who are curious about the Android Mobile game World
Those who want to improve their application development skills using Android studio and java programming language
A total beginner, with a curious mind and wants to be an app developer
Anyone planning a job transformation and wants to become an Android developer
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Full Stack Programming for Complete Beginners in Python
Sunday, May 23, 2021
Full Stack Programming for Complete Beginners in Python - Programming for complete beginners in python, along with pyqt5, mongoDB and software engineering basics
- Hot & New
- Created by Abdul Rauf
- English [Auto]
What you'll learn
- Programming Principles
- Programming in Python
- Implementing mongoDB with python
- Creating graphical user interfaces
- Implementing graphical user interfaces with python using PyQt5
- Software Engineering principles
- Software Engineering principles
- Making full stack desktop applications
Description
In this course you will learn programming from a complete beginner's perspective in python. Not only that, you will learn frontend development in python with pyqt5 and database programming with mongoDB in python. As a bonus you will get to know basics of software engineering.
What you will Learn
Programming in Python
Frontend/ Graphical User Interfaces with Python
Databases with MongoDB
Why Python?
Python is a multipurpose programming language which can be used for almost any task, it is used a lot in web development and machine learning and is a must have in the modern programmer's toolkit
Besides programming in python pyqt5 is also taught which is a frontend library for developing high quality user interfaces using python. It also has a drag and drop interface which we will use to create user friendly programs in this course.
MongoDB is also taught which is a very versatile noSql database solution.
Software engineering basics taught are essential to every developer, we take a little look into it so the students know about software engineering and what it’s major modules are.
How the Course is taught
High Quality Video Lectures with Hands on practice.
Code given alongside
Bonus
Software Engineering Basics
Access to our discord server for asking questions and discussing problems with your fellow students
Who this course is for:
Beginners to programming
Beginners to software development and software engineering
Beginners curious about Programming
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[2021] Business Analytics with R A-Z | Version 8.2
Wednesday, May 19, 2021
[2021] Business Analytics with R A-Z | Version 8.2 - Get best-certified training in Business Analytics with R Programming
- Hot & New
- Created by Avinaash Guptaa
- English [Auto]
What you'll learn
- Successful installation of R studio
- Gain hands-on experience in analysing & solving business problems using Analytics R Tools
- Decoding 'what' & 'how' aspects of data collection
- Machine learning covering all important topics like standard error, variance, p value, t-test, etc.
- Gain insights into industry best practices for data measurement & analysis
- Applying analytics-based financial decision making to drive company's ROI
- To take actionable data-driven decisions to increase market share
- To handle packages in R
- To develop goal-oriented business strategies
- Enhance your analytical skills to add value to your portfolio
Description
The digitization of the modern world has forced businesses to hire professionals who are well-informed and skilled in using modern tools, and remain relevant, competitive, and ensure growth. As businesses demand smarter analytics now, a Business Analyst Course must include R Programming Language, as for today’s Analysts R is considered to be a magic wand that will, on one hand, help in handling complex and Big data, and on the other hand, assist in analyzing it productively.
This first-rate Business Analytics Certification Training with R is tailormade to help you acquire a combination of skill sets to derive actionable insights from digital data. Industry professionals having extensive experience as practitioners of business analytics with international companies have formulated this self-paced course which can be accessed at any time, from anywhere.
The curriculum of this most sought-after R course caters to the needs of all major businesses globally as it has been framed, and regularly reviewed and updated, by experts possessing 15-20 years of relevant experience. It will assist you in mastering the basics of data analysis by manipulating common data structures such as data frames, vectors, and matrices.
What is most helpful in learning all concepts of this course is the 5 real-time projects that we provide for hands-on practical experience. These give invaluable insight into various factors and helps in:
Analyzing the attrition rate of employees
Predicting department wise sales
Business analytics optimization
Website trend analysis
Stock market prediction
Analyzing ETF trends
The practice of real-life case studies, strategies, and examples through professional tools and techniques, videos, and presentation slides: all this ensures 100% success through this Business Analyst Course. This Business Analytics Training Certification with R adds value to a candidate’s CV as the highly-valued certification endorses him/her to be capable to assist organizations in maximizing the value of their data, help in unearthing insights, building plans, and also assist in responding to real-time to customer demand.
With a manifold increase in the demand for Business Analyst professionals globally, this course has turned out to be a good bet and best return on investment for many candidates who have successfully bagged high-paying jobs in varied industries.
Learning Benefits of this Course
Know all about data visualization with base R & libraries like ggplot2, etc.
Become proficient in machine learning models like a neural network, linear regression, logistic regression, etc.
Get insights from industry best practices for data measurement & analysis
Communicate business objectives in a focused manner with data analysts & help evaluate results of data analysis better.
Develop goal-oriented business strategies
Gain a full view of customers across different channels by accessing, integrating & analyzing
Customer data through multiple sources & engage customers in real-time
Understand the affinity of product by analysing transactional data
Understand analytics-based-financial decision making to drive the company's ROI
Take actionable data-driven decisions to increase market share
Helps to know adjusting to macro changes in predictive models
Become eligible for jobs demanding an analytics background
Open doors to job opportunities abroad demanding specialization
Get promoted in current profile with most in-demand skill
Gain a competitive edge by earning a globally recognized certification
Course Content
Introductory Topics to Analytics
R Programming- Need for R, Features of R, Download, Setup, Installation; R & R Studio;
Entering and Reading Data / Data Import and Export
Operators in R
Data Types and Data Structures
Handling packages in R
Subsetting Data in R
Data Management in R
Descriptive Statistics
Apply Family in R
Aggregate and Table Command
Data Manipulation in R
Summarising the Data Graphically
gg plot - Graphical Analysis
Simple Linear Regression
Multi-Linear Regression
Logistic Regression
Decision Tree
Cluster Analysis
Having no previous experience in coding, I was afraid that I might not follow this course well but thanks to this well-framed course, I gained clarity on all the concepts and tools needed throughout the entire data science pipeline.- Manan Ahuja
I am all praise for the team to have framed a curriculum worthy of giving complete knowledge of R language along with enhancing skills for practical use. After completing this course, I cannot only manipulate data sets easily but also create visualizations to communicate results.- Mohnish Jha
This course is one of the best courses I have gained so much confidence after doing it. This course gave a boost to my career and taught me how to install and configure software necessary for a statistical programming environment.- Parul Gupta
I have recommended this course to my colleagues as it covers all practical issues in statistical computing. I learned everything about programming in R- reading data into R, accessing R packages, writing R functions, debugging and profiling R code.- Dheeraj Srivastava
After taking this course I improved my CV and was able to apply to so many more jobs. Thanks to the team, I have got a good-paying job recently.- Priyanka Saxena
Who this course is for:
Engineering
IT Students
Commerce Students
Finance students
Management professionals
Anyone who wants to upskill himself/herself in Business Analytics
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Probability and Statistics 1: The Complete Guide
Monday, May 17, 2021
Probability and Statistics 1: The Complete Guide - Learn everything fast through concise yet contented lectures
- Created by L Sang
- English [Auto]
What you'll learn
- representation and characterisation of data
- elementary probability theory
- combinatorics
- rules for computing probabilities
- conditional probability and independence of events
- discrete random variables and their probability distributions
- expectation value of a discrete random variable
- examples of discrete random variables
- moment generating functions
- continuous random variables and their probability distributions
- expectation value of a continuous random variable
- examples of continuous random variables
- Chebyshev's theorem
- bivariate probability distributions
- expectations of functions of random variables
- covariance
- independent random variables
- sums of independent random variables
- hypothesis testing
Description
I know, Probability and Statistics is difficult. But is there a way to make it easy? Of course. I for one managed that.
I know a lot of people struggle with it; a very small group of people are good at it. Back in university, I was in that bigger group, the group that struggled through Probability and Statistics lecture. I needed help; I couldn't understand a thing, but I finally found help and turned my exam result around. I guess since you're looking at this, you need help too.
This 6-hour COMPLETE GUIDE course contains everything you need to know to get started with Probability and Statistics. It's packed with videos that have been categorised into different topics, hence easy for you to learn.
I've included lots of definitions, theorems, quizzes, examples, concise notes for EVERY single section, exercises, and a walkthrough of all the exercise sheets. Most importantly, I've done a BONUS section for you! It includes some additional questions that will strengthen your skill even more.
With this basic Probability and Statistics course, you will have a good core understanding to pursue many more difficult Mathematics topic. In this course, everything has been broken down into a simple structure to make learning and understanding easy for you.
This COMPLETE guide is for those of you are looking to get a full understanding of the basics; the important parts. You've already shown half of your determination by looking at the course, so if this course sounds right for you, boost your eagerness to learn and join me on this journey!
Tips:
1) It will be very useful if you also take notes of your own as you're watching the lectures, it will help you understand everything better and quicker. Just pause if I move on to other topics too fast or if you haven't fully understood the previous sub-topic before you move on to the next parts.
2) Please ask any questions you may have in the Q&A section if you don't understand. It's one thing to not understand it, but it's a whole new experience and a very important thing to do when learning Maths to be able to discuss it with fellow students who are going through the same thing.
3) Use headphones for better sound. (I suggest you turn the volume up)
4) Don't forget you can always slow down or speed up the video!
Who this course is for:
high school students
university students
courses that require probability and statistics (e.g. computer science, and other sciences)
Learn Artificial Neural Network From Scratch in Python
Sunday, May 16, 2021
Learn Artificial Neural Network From Scratch in Python - The MOST in-depth look at neural network theory, and how to code one with pure Python and Numpy
- New
- Created by Sachin Kafle
- English [Auto]
What you'll learn
- Code a neural network from scratch in Python and numpy
- Learn the math behind the neural networks
- Get a proper understanding of Artificial Neural Networks (ANN) and Deep Learning
- Derive the backpropagation rule from first principles
- Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
- Learn to evaluate the neural network models
Description
Welcome to the course where we will learn about Artificial Neural Network (ANN) From Scratch!
If you're looking for a complete Course on Deep Learning using ANN that teaches you everything you need to create a Neural Network model in Python?
You've found the right Neural Network course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in Python and ability to optimize the model tuning hyper parameters
Confidently practice, discuss and understand Deep Learning concepts
This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE.
You should take this course if you are interested in starting your journey toward becoming a master at deep learning, or if you are interested in machine learning and data science in general. We go beyond basic models like logistic regression and linear regression and I show you something that automatically learns features.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Python basics
This part gets you started with Python and learn the brush up the basics like data structures, comprehensions, Object Oriented Programming and so on.
This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas, Seaborn and matplotlib libraries.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the neurons and how neurons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in Python and R
In this part you will learn how to create ANN models in Python.
We will learn how to model the neural network in two ways: first we model it from scratch and after that using scikit-learn library.
Part 4 - Tutorial numerical examples on Backpropagation
One of the most important concept of ANN is backpropagation, so in order to apply the theory we learnt in lecture session in the real world neural networks, we are going to execute backpropagation taking one numerical example. We are going to take the help of partial differentiation and update the weights in backpropagation using gradient descent algorithms.
By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Who this course is for:
Students interested in machine learning - all the concepts are given through three sessions: Lecture, Tutorial and Coding sessions
Students who want to learn the mathematics behind neural networks which in turn will make you ninja in ANN
Students who want to prefer learning the core of neural networks rather than learning how to do it with libraries
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The Command Line Bootcamp: Beginner To Power User
Saturday, May 15, 2021
The Command Line Bootcamp: Beginner To Power User - Level Up Your Skills And Take Control Of Your Machine, w/ Dozens of Commands, Projects, and Challenges!
- Bestseller
- Created by Colt Steele
- English [Auto]
What you'll learn
- Master the Command Line and Dozens of Commands!
- Stop Relying On The Limited Graphical User Interface
- Write Your Own Commands From Scratch
- Automate Tasks and Schedule Jobs Using Cron
- Control Your Computer Completely From The Command Line!
- Master The Quirks Of File Permissions
- Learn Powerful Keyboard Shortcuts To Improve Your Efficiency
- Construct Powerful Command Pipelines
Description
Welcome to The Linux Command Line Bootcamp, a brand new course that aims to turn you into a command line power user! This course will teach you dozens and dozens of powerful commands (see the long list at the bottom), but more importantly it gives you the tools the continue to learn new commands and take full control of your machine. The skills you learn in this course will make you a stronger web developer, data scientist, machine learning engineer, game dev, or plain old computer user! You will feel POWERFUL!!
Hi there, my name is Colt Steele. I've spent years leading in-person software engineering bootcamps and have helped thousands of students change careers. Online I've taught over a million students and have hundreds of thousands of 5 star ratings and reviews.
This is an interactive course full of exercises and fun challenges that force you to practice the skills you are learning. You'll encounter some of the same assignments and projects that my in-person bootcamp students experience. Learning command after command can be a dreadfully boring experience, but I've tried my best to make this course as exciting and interesting as possible :) You may roll your eyes at my jokes, but you won't be bored!
============Curriculum: The Short Version============
This course covers a TON. Here's a short summary of the key points. Scroll down for a more in-depth explanation.
Learn dozens and dozens of powerful commands (see the long list below)
Understand the big picture: how ALL commands fit together
Build complex data pipelines by stringing multiple commands together
Master command-line navigation and Linux folder structure
Create, delete, move, copy, and rename files and folders
Decipher and manipulate Unix file permissions
Use powerful searching commands like find, locate, and grep
Master redirection of standard input, standard output, and standard error
Write your own custom commands from scratch!
Customize the shell: write your own helpful aliases, tweak the prompt, etc.
Master Bash expansions and substitutions
Automate tedious tasks using cron and cronjobs
Edit files directly from the command-line using nano
Master keyboard shortcuts to increase your command-line efficiency
============Curriculum: The Long Version============
The course starts with a deep dive into confusing technical terms like terminal, shell, kernel, Unix, Unix-Like, GNU, Linux, and Bash. It's important to understand the context and the WHY's around the command line and its history that still impacts our machines today.
Then we shift our focus to the general patterns and structure that all commands follow including options and arguments. This blueprint we define will inform every single other topic we cover throughout the rest of the course. You'll also learn HOW to learn more about specific commands using the man, help, which, and type commands.
Next, we cover the super-important Linux folder structure and learn essential commands for navigating our machines including ls, pwd, and cd. You'll be an expert navigator in no time!
From there we learn to create new files and folders right from the command line using the commands touch, mkdir, and file. Next, we dive deep into a special text-editor built right into the command line called Nano. You'll learn to open and edit files using Nano, master various Nano shortcuts, and even learn how to configure nano's global settings.
The next section covers the powerful commands rm, mv, and cp. You'll learn how to remove individual files and entire directories, move and rename files, and copy files and folders right from the command line. These are some of the most useful commands you can know!
Then we take a quick break to focus on useful keyboard shortcuts you can use to improve your terminal efficiency, before diving into the history command and history expansion.
The next section covers tons of commands that have to do with manipulating file contents, including less, cat, tac, rev, head, tail, wc, and sort. Then we cover the three standard streams: standard input, standard output, and standard error. You'll learn to redirect all three streams and take full control over your data.
Next we move to my favorite topic: piping! In this section you'll learn how to construct complex and powerful pipelines by stringing together multiple individual commands. You'll also learn about the tr command and the tee command along the way.
From there we learn to "speak" the language of the shell using Expansion and Substitution. You'll learn the ins and outs of pathname expansion using wildcard characters, tilde expansion, and the super powerful curly brace expansion. We also cover arithmetic expansion, command substitution, and single and double quoting.
Next up we learn about two commands that help us find files on our machine: locate and find. We pay special attention to the find command and its many fancy options and use-cases. You'll learn how to find files by name, size, timestamps, and more. You'll also learn how to bulk-edit files using find's exec option and the xargs command.
We then shift our focus to the grep command. You'll learn how to use grep to recursively search the contents of files and match complex files using regular expressions.
Next, we spend some time discussing the details of file permissions. You'll learn how to read file attributes and understand read, write, and execute permissions. In the next section, we learn how to alter permissions using commands including chmod, chown, sudo, and su.
In the next section, we learn how to customize our shell experience. You'll learn to write your own custom aliases, work with shell variables, and even create your own fancy prompt. Then we learn how to create our own complex commands from scratch and the basics of bash scripting! By the end you'll be writing and running your own programs.
Finally, we learn about the mysterious cron daemon. You'll learn the odd-looking cron syntax to set up your own automated and scheduled cronjobs.
============THE END============
Whether you have some experience with basic commands or you're a complete beginner, this course will help take your skills to the next level. Learning the command-line is one of the rare skills that transcends the typical divisions between web development, data science, machine learning, or any other tech disciplines. If you work with a computer daily, you will benefit from mastering the command-line. The commands you learn in the course will change the way you interact with your machine, giving you all new workflows and strategies and POWER over your computer! More importantly, you'll leave this course prepared to conquer ALL the commands that are waiting for you out in the real world and on the job.
===============================
Here's an incomplete list of the commands covered in the course:
date
cal
ncal
echo
man
help
which
type
ls
cd
pwd
touch
mkdir
nano
rm
rmdir
mv
cp
cat
less
tac
rev
head tail
wc
sort
tr
tee
locate
du
find
grep
xargs
chmod
sudo
su
chown
addgroup
adduser
export
source
crontab
tar
Who this course is for:
Anyone interested in becoming a command line power user!
Computer users who want complete control over their machine
Anyone interested in web development, data science, or a career that involves code!
Students with some prior command line experience who want to gain complete mastery
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Up & Running with Containers in AWS
Wednesday, May 12, 2021
Up & Running with Containers in AWS - Build Docker containers and deploy them to AWS using services like ECR, ECS, EKS, Elastic Beanstalk and Copilot.
- Hot & New
- Created by Lukonde Mwila
- English [Auto]
What you'll learn
- Understand the concept of containerisation
- Learn how to build Docker images and run containers
- Learn how to work with the Docker CLI and Docker Compose
- Create AWS infrastructure with Terraform
- Deploy Containers to ECS with Copilot
- Create a pipeline for your Container Application in a few steps with Copilot
- Create an EKS Cluster from scratch and deploy an application
- Build private and secure networking infrastructure for accessing your container applications
- Deploy Docker containers to ECS, ECS Fargate, EKS and Elastic Beanstalk
- Deliver Secure Container Images with Snyk scans
- Create EKS Cluster using eksctl
- Deploy Multi Container Application to AWS
- Pushing Docker Images to ECR and Docker Hub
- Build Multistage Docker Images
Description
Containerisation and AWS Cloud computing are top technologies that are in high demand, and only increasing in popularity and wide spread adoption by companies. This course will help position you to be well versed in building and deploying Docker containers to the AWS environment.
Docker from the Ground Up
Are you new to the concept of containerisation? Not to worry. In this course, you'll learn what containers are, the problems they solve and how the differ from Virtual Machines. You will also learn how to build Docker images and push them to repositories like ECR and Docker Hub. In addition, you'll learn how to work with the Docker CLI and run containers on your local machine.
Create AWS Infrastructure using AWS CLI, Terraform and the AWS Console
There are multiple ways to build out resources in the AWS environment. In this course you'll learn how to create ECR repositories, ECS and EKS clusters using the AWS CLI and the Console. Why stop there, IaC (Infrastructure as Code) tools like Terraform are being used more and more by DevOps engineers. This course will cover creation both basic setups and more complex architectures for running Docker containers.
Develop Multi-Container Applications with Docker Compose
In this course you'll build a three-tier multi-container application on your local machine with Docker Compose and later on in the course you'll deploy it to the cloud on Elastic Beanstalk.
Create CI/CD Pipelines for you ECS Container Applications
In this course, you won't only learn how to run your containers in the AWS environment, you'll learn how to setup up CI/CD pipelines to easily re-deploy new versions of your application.
Create Container Orchestration Platforms in Speedy Fashion
Are you more concerned about application development than building out the nuts and bolts of your AWS environment? This course doesn't only cater for those who want the long and detailed road for creating container platforms in AWS. In this course you'll learn how to use CLI tools such as eksctl and Copilot to create all the AWS infrastructure to run your container applications.
Here's all the great stuff you'll learn in this course:
Understand the concept of containerisation
Learn how to build Docker images and run containers
Learn how to work with the Docker CLI and Docker Compose
Create AWS infrastructure with Terraform
Deploy Containers to ECS with Copilot
Create a pipeline for your Container Application in a few steps with Copilot
Create an EKS Cluster from scratch and deploy an application
Build private and secure networking infrastructure for accessing your container applications
Deploy Docker containers to ECS, ECS Fargate, EKS and Elastic Beanstalk
Deliver Secure Container Images with Snyk scans
Create EKS Cluster using eksctl
Deploy Multi Container Application to AWS
Pushing Docker Images to ECR and Docker Hub
Build Multistage Docker Images
Who this course is for:
Software Developers and DevOps engineers that want to learn how to deploy containers to AWS
Software Developers wanting to learn more about containerisation and Docker
Cloud and DevOps engineers
Solution Architects
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The Complete Python 3 Masterclass - From Beginner To Pro
Monday, May 10, 2021
The Complete Python 3 Masterclass - From Beginner To Pro - Python for beginners, Learn Python Programming and build your own Python programs: Data Science, Machine Learning, etc.
- Created by Denis Panjuta, Jannis Seemann, Tutorials.eu by Denis Panjuta
- English [Auto]
What you'll learn
- From 0 to 100: From beginner to python all-rounder
- Become a sought-after developer
- Write real desktop applications with Qt
- Use a crawler to extract data from web pages
- Challenge yourself with quizzes and exercises
- Everything explained with simple examples
- Understand the "why" behind it
- Evaluate data and create DataScience analyses
- Learn and understand object oriented programming
Description
This course makes you a professional Python 3 developer- no matter if you are a Python beginner, have already programmed a bit, or just want to discover the advanced features of Python 3. It is the ideal Python for beginners course.
This course contains over 250 lessons, countless quizzes, tests, practical projects, fact sheets, and exercises - the easiest way if you want to become a Python 3 developer.
NO PROGRAMMING SKILLS ARE REQUIRED - PYTHON FOR BEGINNERS
First a small overview of what this course offers you:
Understand the basics of Python 3 development
Understand object orientation
Develop your own applications in Python 3 development
Challenge your knowledge with various quizzes and exercises
Easy repetition of knowledge: Extensive fact sheets
Various practical examples:
Extract data from web pages with a web crawler
Write real desktop applications with Qt
Develop a web server with Flask
Apply Data Analysis with Python 3
Develop a face detection software
Develop a simple machine learning application
And much more...
Python 3 is an incredibly cool programming language that can be used for various purposes. Therefore, it is not only important that you learn Python yourself, but also which tools complement Python perfectly. And that's why I developed this Python for beginners course - to make you a highly skilled in Python development, no matter what direction you want to go after the course.
After completing this Python for beginners course you can write desktop applications, master Python website development, extract data from other websites, collect additional data via cool forms, and evaluate it automatically with Python - the complete workflow.
To this end, we will look at various additional tools in the course:
The Data Science - Stack: Numpy, Pandas and Matplotlib
Web - Crawling with "requests" and "beautifulsoup"
Web - Development with Flask
Interactive programs with Jupyter notebooks
Desktop applications with PyQt
My goal is that after completing this Python for beginners course you will be very good at Python development - no matter what purpose you want to use Python for later. This makes you perfectly prepared for future jobs and projects.
Frameworks allow you to save loads and loads of effort and time, when building your programs.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series for maximum Python development capabilities.
Build a web crawler with "requests" and "beautifulsoup" which allows you to read data from a website and reuse it how ever you like.This is a super powerful tool, which comes in handy in so many occasions.
With Flask you can build websites with Python. Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. So you can get started with it super fast.
In this Python for beginners course you will also learn how to use PyQt. With PyQt you can build beautiful GUIs (Graphical User Interfaces). Either with code, or by just using the Qt Creator, which allows you to drag and drop your UI elements onto your Window. That is not only convenient, but also decreases the development time, required to build desktop applications.
Machine learning is a super interesting and demanded area. Python is the programming language to go with, when it comes to Machine Learning. So hop aboard and ride with the Python hype train. As you will learn the basics of machine learning with Python in this Python for beginners course. At the end you are skilled in Python development to the highest degree.
HOW IS THE PYTHON FOR BEGINNERS COURSE STRUCTURED:
First you learn, how the very basics of Python work. This includes variables, functions, loops, if statements, etc.
Then you learn how to use object oriented programming. These skills whill not only help you with Python programming, but also with other programming Languages. As soon as you feel confortable with those skills, you will learn more advanced topics and build more and more interesting and real world applications such as a web crawler, a twitter bot, a website with flask, data science with numpy, pandas and matplotlib.Each chapter contains multiple quizzes, leaflets/handouts and exercises, which help you to progress steadily.
So you see, the course will make you a complete Python developer in no time.
WHO IS THIS COURSE FOR?
The course is for anyone, who wants to learn Python and wants to become professionally good in Python programming. No experience is required what so ever. It is for total Python beginners. It is designed that anyone who can handle a mouse and keyboard will succeed finishing it. The only real requisite is the desire to learn.
30-DAY FULL MONEY-BACK GUARANTEE
This Python for beginners course comes with a 30-day full money-back guarantee. Take the course, watch every lecture, and do the exercises, and if you feel like this Python for beginners course is not for you, ask for a full refund within 30 days. All your money back, no questions asked.
ABOUT YOUR INSTRUCTOR:
My name is Denis Panjuta and in my courses I have taught over 50.000 students how to code. I have a Bachelor of Engineering at the University of Applied Sciences in Constance (Germany). I love teaching and creating high quality courses. My mission is, to teach programming to over 100.000 people!
As you see, this is the only Python course you will ever need!
You will learn all the Python fundamentals, all Python basics and everything that you need to know to succeed in Python programming and building your own cool applications.
So don’t waste any more time and start to make your dreams and ideas come true by taking this course now!
Who this course is for:
Beginners who want to get started with the programming language Python
Advanced developers who want to experience various Python application scenarios
In short: who want to use Python productively - whether as a hobby or for the job
The Complete Python Masterclass: Learn Python From Scratch
Sunday, May 9, 2021
Free Coupon Discount - The Complete Python Masterclass: Learn Python From Scratch, Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.
- Created by Ashutosh Pawar
- English [Auto]
- Full stack web development and AI with Python (Django)
- GUI Development with Python and Tkinter
- Django & Python: complete BUNDLE + Django real project 2020
- Complete Python Tutorial for Beginners
- Python: Learn Python with Real Python Hands-On Examples
- The Ultimate Tkinter Course: GUI for Python projects
Preview this Udemy Course GET COUPON CODE
Description
The Complete Python Masterclass: Learn Python From Scratch
Here Is What You Get By Enrolling In This Course:
Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.
Awesome Quality Content: Over 29+ hours of HD(1080p) Videos.
Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, Desktop App development with PostgreSQL & Web Scraping.
24 X 7 Support: I will always be there to guide you in your journey to become Python expert.
_________________________________________________________________________
Here Is Everything You Will Learn In This Complete Course:
In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.
This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.
We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.
The Complete Course is divided into 11 Major sections.
Here is a brief description of what you will learn in each section.
Section 1: Python.
This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.
Section 2: Make GUI In Python Using Tkinter.
Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.
Section 3: Making Database Oriented Desktop Apps With PostgreSQL.
Making a simple desktop app alone isn't sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.
Section 4: Data Analysis.
Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.
Section 5: Python Web Framework Django.
This section will teach you how to build full-stack web applications with Python & Django. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more.
Section 6: Python Web Framework Flask.
Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies.
Section 7: REST APIs Using Django Rest Framework.
In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication.
Section 8: Web Scraping in Python.
Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python.
Section 9: Automation with Python & Selenium.
Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us.
Section 10: Best Practices: Writing Clean & Efficient Python Code.
To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so.
Section 11: Image Processing With Python & OpenCV.
Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussain filtering.
_________________________________________________________________________
So let's begin the journey of becoming an expert in Python.
In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!
_________________________________________________________________________
Make sure to enrol in the course before the price changes.
Take yourself one step closer towards becoming a professional Python developer by clicking the "take this course button" now!
Join the journey.
Sincerely,
Ashutosh Pawar
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Deep Learning Foundation : Linear Regression and Statistics
Saturday, May 8, 2021
Deep Learning Foundation : Linear Regression and Statistics, Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning
- Bestseller
- Created by Jay Bhatt
- English [Auto]
What you'll learn
- Mathematics behind R-Squared, Linear Regression,VIF and more!
- Deep understating of Gradient descent and Optimization
- Program your own version of a linear regression model in Python
- Derive and solve a linear regression model, and implement it appropriately to data science problems
- Statistical background of Linear regression and Assumptions
- Assumptions of linear regression hypothesis testing
- Writing codes for T-Test, Z-Test and Chi-Squared Test in python
Description
Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test , Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.
Who this course is for:
Python developers curious about data science
data science and machine leaning engineers
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Complete JAVASCRIPT with HTML5,CSS3 from zero to Expert-2021
Friday, May 7, 2021
Free Udemy Coupon - Complete JAVASCRIPT with HTML5,CSS3 from zero to Expert-2021, Learn HTML5, CSS3, JavaScript, jQuery and Bootstrap framework by building a modern looking responsive website.
- Created by Hemanth kumar
- English [Auto]
What you'll learn
- At the end of this course, You will have a great skills set like HTML5, CSS3, JavaScript, JQuery and Bootstrap Framwork.
- You will see, the complete web development process from start to finish project.
- You will learn about media queries and will be able to make website perfect for responsive design.
- You will learn about web design guidelines which you can apply to real world web projects.
- You will be able to build modern looking website which will look great on all the small & wide screens.
- You will get complete code for real responsive website
Description
Want to learn Web Design & Web Development Skills? Then this is the RIGHT course For you! Many languages came and disappear but JavaScript is language that is enjoying a high run and demand in the programming world. The very first things you need to learn HTML5, CSS3, JavaScript and JQuery to become a Web Developer and off-course some Web Design Guidelines. This course will exactly teach you all these New Skills to become a good Web Developer. This course also teach how to use Bootstrap Framework which is the most Popular Responsive Framework on the internet. In this course, you will also learn Web Design Guidelines, which you can apply to Real World Websites.
This course will first give basic understanding of HTML5, CSS3, JavaScript, JQuery and Bootstrap Framework then by combining all these skills, you will Build a Modern Looking Responsive Website which will look Great on all the Small and Wide Screens.
JavaScript is THE most important programming language you need to learn as a web developer - and with this course, you make sure that you will not miss a single thing you have to know as a JavaScript developer!
This is the most comprehensive and modern course you can find on JavaScript - it's based on all my JavaScript knowledge AND teaching experience. It's both a complete guide, starting with the core basics of the language, as well as an extensive reference of the JavaScript language and environment, ensuring that both newcomers as well as experienced JavaScript developers get a lot out of this course!
It's a huge course because it's packed with important knowledge and helpful content. From the core basics, over advanced concepts and JavaScript specialties, all the way up to expert topics like performance optimization and testing - this course has it all. My goal was to create your go-to resource for the JavaScript language, which you can not just use for learning it but also as a resource you can come back to and look up important topics.
Who this course is for:
This course is for anyone who want to learn web design and web development skills. This course will teach you some web design guideline and you will learn HTML5, CSS3, JS, jQuery & Bootstrap at ground level.
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Complete Python Bootcamp! Build Real Python Projects In 2021
Wednesday, May 5, 2021
Free Udemy Coupon - Complete Python Bootcamp! Build Real Python Projects In 2021, Become a full stack python developer from beginner to building real world python projects, games & applications in 2021
- Created by Emenwa Global, Zoolord Academy
- English
What you'll learn
Master Object Oriented Programming (OOP) in python
You will master Database Management System in python 3
Learn how setup Database
Learn how to create tables
Learn how to write query
Learn how to add new records
Learn how to delete records
Learn how to create message boxes
Master python GUI development from scratch
Learn how to create dropdown menu
Write code to create real time Date, Time and Calendar
Master Image processing in python 3 with Adobe Photoshop CS6
Learn how to install pillow library
Learn how to crop images
Learn about RGB, RGBA, Pallate and so on
Learn about image splitting
Learn about channels
Learn how to mix multiple channels
Learn the basic image transformations
Learn how to convert images from JPEG to PNG and Vice Versa
Build a complete Hotel Management System from scratch
Learn how to build screens
Master to build combobox in python 3
Learn about Radiobuttons and how to create them
Learn about checkboxes
Learn how to create currency converters
Learn how to build an advanced e-learning Alphabet application with both Offline and Google Text-to-Speech capabilities
Learn how to use voice command in python
Learn Function Programming
Learn best practices to write clean, performance, and bug free code
Learn to Test, Debug and Handle Errors in your Python programs
Master modern Python 3 fundamentals as well as advanced topics
Become a professional Python Developer and get hired
Build awesome real-time electronic calculator
Build a scrollable (movable) massage text display
Create awesome text patterns
Level up your python programming skill with over 100 best python practices
Description
Complete python bootcamp starts from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world.
The topics covered in this course are:
-Introduction to Python programming
-Basics of Python programming
-File Handling in Python
-Object Oriented Programming
-Python GUI development
-How to build a message box
-How to create a digit counter
-How to create a color chooser
-Files, Radiobutton, Checkbox, Entry Boxes etc
-Graphic Designs in python
-Complete Calculator Development
-Database Management System for school portal
-How to build an E-learning application in python
-Image processing in python with Adobe Photoshop CS6
-Movable Text Display
-Complete Hotel Management System from scratch
-100+ BEST python practices for absolute beginners
Emenwa Global instructors are industry experts with years of practical, real-world experience building software at industry leading companies. They are sharing everything they know to teach thousands of students around the world, just like you, the most in-demand technical and non-technical skills (which are commonly overlooked) in the most efficient way so that you can take control of your life and unlock endless exciting new career opportunities in the world of technology, no matter your background or experience.
Who this course is for:
Anyone who wants to learn to code
Anyone looking to level up their skills and master a new programming language
Anyone who wants to master Python 3
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Machine Learning, Deep Learning and Bayesian Learning 2021
Free Udemy Coupon - Machine Learning, Deep Learning and Bayesian Learning 2021, Learn Machine Learning, Deep Learning, Bayesian Learning and Model Deployment in Python.
- Created by Sachin Abeywardana
- English [Auto]
What you'll learn
- Deep Learning with Tensorflow!!!
- Bayesian learning with PyMC3
- Data Analysis with Pandas
- Algorithms from scratch using Numpy
- Using Scikit-learn to its full effect
- Model Deployment
- Model Diagnostics
- Natural Language Processing
- Unsupervised Learning
- Natual Language Processing with Spacy
- Time series modelling with FB Prophet
- Python
Description
This is a course on Machine Learning, Deep Learning and Bayesian Learning (yes all 3 topics in one place!!!).
We start off by analysing data using pandas, and implementing some algorithms from scratch using Numpy. These algorithms include linear regression, Classification and Regression Trees (CART), Random Forest and Gradient Boosted Trees.
We will be using TensorFlow for our Deep Learning lessons. This will include Feed Forward Networks, Convolutional Neural Nets (CNNs) and Recurrent Neural Nets (RNNs).
We focus on both the programming and the mathematical/ statistical aspect of this course. This is to ensure that you are ready for those theoretical questions at interviews, while being able to put Machine Learning into solid practice.
Some of the other key areas that we discuss include, unsupervised learning, time series analysis and Natural Language Processing. Scikit-learn is an essential tool that we use throughout the entire course.
We spend quite a bit of time on feature engineering and making sure our models don't overfit. Diagnosing models by splitting into training and testing as well as looking at the correct metric can make a world of difference.
I would like to highlight that we talk about Machine Learning Deployment, since this is a topic that is rarely talked about. The key to being a good data scientist is having a model that doesn't decay in production.
I hope you enjoy this course and please don't hesitate to contact me for further information.
Who this course is for:
Anyone interested in Machine Learning.
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Complete Data Analysis with Pandas : Hands-on Pandas Python
Monday, May 3, 2021
Complete Data Analysis with Pandas : Hands-on Pandas Python - Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python
- Created by Ankit Mistry, Data Science & Machine Learning Academy
- English [Auto]
What you'll learn
- Update your resume with one of the in demand skill : Data analysis Pandas
- Setting up Python in anaconda environment
- Refresh Python basics with crash course
- Learn Most demanded python data analysis library : Pandas
- Three important data structure of pandas : Series, Data Frame, Panel
- Learn how to analyse one, two and three dimensional data
- How to group Data for analysis
- How to deal with Text Data with Pandas Functions
- Analyse data having multiple level index.
- Array and Matrix manipulation Library NumPy
- Master pandas with quizzes.
- Data Visualization Matplotlib and Seaborn Library
- Importing data from various different kinds of sources
- Complete Machine Learning work flow implementation with Scikit-learn
Description
JOIN OTHER 40,000 SUCCESSFUL STUDENTS WHO HAVE ALREADY ENROLLED & MASTERED PYTHON & PANDAS SKILLS (DATA ANALYSIS LIBRARY) WITH ONE OF MY BEST SELLING, TOP RATED COURSE.
Student Testimonial :
Great going, ankit is good at explanation of data processing stuff. i bought many of his course related to python and machine learning. - Jay
Every concept is clearly explained and the tutor of this course replies to every question asked in Q&A section. - Mukka Akshay
It was very good session. The instructor has enough knowledge and able to make me understand clearly. Thank you Ankit! - Bibek Baniya
This is an amazing course if you want to understand the extent of the power of Pandas. - Venkat Raj
It's one of the best course !!! Most of the topics has been covered and explained up to the expectation - Ankur SIngh
it is a good match with what i was looking for, the instructor is quite knowledgeable. - Shivi Dhir
This class is not too fast or too slow, the way he teaches is perfect. - Frankie Y
It is excellent - Rakhshee Misbah
good experience - Weiting
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Update : New section on Data visualization library Matplotlib and Seaborn added.
Update : New section on Numpy Library get added.
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If you want to master most in-demand data analysis library pandas, carry on reading.
Hi, I am Ankit, one of the Best Selling author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment.
By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Carry on reading to know more about course.
The era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.
Then this course is for you, welcome to the course on data analysis with python's most powerful data processing library Pandas.
Why this course?
Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool .
This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.
What is this course?
This course covers
Basics of Pandas library
Python crash course for any of you want refresh basic concept of python
Python anaconda and Pandas installation
Detail understanding about two important data structure available in a Pandas library
Series data type
Data frame data type
How you can group the data for better analysis
How to use Pandas for text processing
How to visualize the data with Pandas inbuilt visualization tool
Multilevel index in Pandas.
Time series analysis
Numerical Python : NumPy Library
Matplotlib and Seaborn for Data visualization
Machine Learning Theoretical background
Complete end to end Machine Learning Model implementation with Scikit-learn API
(from Importing Data to Splitting data, Fitting data and Evaluating Data) & How to Improve Machine Learning Model
Importing Data from various different kind of file
You will get following after enrolling in this course.
150+ HD quality video lecture
16+ hours of content
Discussion forum to resolve your query.
quizzes to to test your understanding
This course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Pandas. So stay tuned and enroll now.
Regards
Ankit Mistry
Who this course is for:
Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
Anyone who want to make career in Data Science, Data analytics
Anyone wants to learn data analysis with python language
Excel user who wants to enhance data analysis skills.
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