The STATA OMNIBUS: Regression and Modelling with STATA
Friday, December 31, 2021
Online Courses - The STATA OMNIBUS: Regression and Modelling with STATA, UPDATED: 4 COURSES IN ONE! Includes introduction to Linear and Non-Linear Regression, Regression Modelling and STATA | Created by F. Buscha
students also bought
- R Programming for Beginners: Hands on Tutorial
- Logistic Regression using Stata
- Modeling Count Data using Stata
- "Hands-On" PLS Path Modeling with SmartPLS 2.0
- Linear Regression using Stata
Description
4 COURSES IN ONE!
Learn everything you need to know about linear regression, non-linear regression, regression modelling and STATA in one package.
Linear and Non-Linear Regression.
Learning and applying new statistical techniques can often be a daunting experience.
"Easy Statistics" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology.
This course will focus on the concept of linear regression and non-linear regression. Specifically Ordinary Least Squares, Logit and Probit Regression.
This course will explain what regression is and how linear and non-liner regression works. It will examine how Ordinary Least Squares (OLS) works and how Logit and Probit models work. It will do this without any complicated equations or mathematics. The focus of this course is on application and interpretation of regression. The learning on this course is underpinned by animated graphics that demonstrate particular statistical concepts.
No prior knowledge is necessary and this course is for anyone who needs to engage with quantitative analysis.
The main learning outcomes are:
To learn and understand the basic statistical intuition behind Ordinary Least Squares
To be at ease with general regression terminology and the assumptions behind Ordinary Least Squares
To be able to comfortably interpret and analyze complicated linear regression output from Ordinary Least Squares
To learn tips and tricks around linear regression analysis
To learn and understand the basic statistical intuition behind non-linear regression
To learn and understand how Logit and Probit models work
To be able to comfortably interpret and analyze complicated regression output from Logit and Probit regression
To learn tips and tricks around non-linear Regression analysis
Specific topics that will be covered are:
What kinds of regression analysis exist
Correlation versus causation
Parametric and non-parametric lines of best fit
The least squares method
R-squared
Beta's, standard errors
T-statistics, p-values and confidence intervals
Best Linear Unbiased Estimator
The Gauss-Markov assumptions
Bias versus efficiency
Homoskedasticity
Collinearity
Functional form
Zero conditional mean
Regression in logs
Practical model building
Understanding regression output
Presenting regression output
What kinds of non-linear regression analysis exist
How does non-linear regression work?
Why is non-linear regression useful?
What is Maximum Likelihood?
The Linear Probability Model
Logit and Probit regression
Latent variables
Marginal effects
Dummy variables in Logit and Probit regression
Goodness-of-fit statistics
Odd-ratios for Logit models
Practical Logit and Probit model building in Stata
The computer software Stata will be used to demonstrate practical examples.
Regression Modelling
Understanding how regression analysis works is only half the battle. There are many pitfalls to avoid and tricks to learn when modelling data in a regression setting. Often, it takes years of experience to accumulate these. In these sessions, we will examine some of the most common modelling issues. What is the theory behind them, what do they do and how can we deal with them? Each topic has a practical demonstration in Stata. Themes include:
Fundamental of Regression Modelling - What is the Philosophy?
Functional Form - How to Model Non-Linear Relationships in a Linear Regression
Interaction Effects - How to Use and Interpret Interaction Effects
Using Time - Exploring Dynamics Relationships with Time Information
Categorical Explanatory Variables - How to Code, Use and Interpret them
Dealing with Multicollinearity - Excluding and Transforming Collinear Variables
Dealing with Missing Data - How to See the Unseen
The Essential Guide to Stata
Learning and applying new statistical techniques can be daunting experience.
This is especially true once one engages with “real life” data sets that do not allow for easy “click-and-go” analysis, but require a deeper level of understanding of programme coding, data manipulation, output interpretation, output formatting and selecting the right kind of analytical methodology.
In this course you will receive a comprehensive introduction to Stata and its various uses in modern data analysis. You will learn to understand the many options that Stata gives you in manipulating, exploring, visualizing and modelling complex types of data. By the end of the course you will feel confident in your ability to engage with Stata and handle complex data analytics. The focus of this class will consistently be on creating a “good practice” and emphasising the practical application – and interpretation – of commonly used statistical techniques without resorting to deep statistical theory or equations.
This course will focus on providing an overview of data analytics using Stata.
No prior engagement with is Stata needed. Some prior statistics knowledge will help but is not necessary.
The course is aimed at anyone interested in data analytics using Stata.
Some basic quantitative/statistical knowledge will be required; this is not an introduction to statistics course but rather the application and interpretation of such using Stata.
Topics covered will include:
Getting started with Stata
Viewing and exploring data
Manipulating data
Visualising data
Correlation and ANOVA
Regression including diagnostics (Ordinary Least Squares)
Regression model building
Hypothesis testing
Binary outcome models (Logit and Probit)
Categorical choice models (Ordered Logit and Multinomial Logit)
Simulation techniques
Count data models
Survival data analysis
Panel data analysis
Feature Engineering for Machine Learning
Feature Engineering for Machine Learning - Transform the variables in your data and build better performing machine learning models
- Created by Soledad Galli
- English [Auto]
What you'll learn
- Learn multiple techniques for missing data imputation
- Transform categorical variables into numbers while capturing meaningful information
- Learn how to deal with infrequent, rare and unseen categories
- Transform skewed variables into Gaussian
- Convert numerical variables into discrete
- Remove outliers from your variables
- Extract meaningful features from dates and time variables
- Learn techniques used in organisations worldwide and in data competitions
- Increase your repertoire of techniques to preprocess data and build more powerful machine learning models
Description
Welcome to Feature Engineering for Machine Learning, the most comprehensive course on feature engineering available online.
In this course, you will learn how to engineer features and build more powerful machine learning models.
Who is this course for?
So, you’ve made your first steps into data science, you know the most commonly used prediction models, you probably built a linear regression or a classification tree model. At this stage you’re probably starting to encounter some challenges - you realize that your data set is dirty, there are lots of values missing, some variables contain labels instead of numbers, others do not meet the assumptions of the models, and on top of everything you wonder whether this is the right way to code things up. And to make things more complicated, you can’t find many consolidated resources about feature engineering. Maybe only blogs? So you may start to wonder: how are things really done in tech companies?
This course will help you! This is the most comprehensive online course in variable engineering. You will learn a huge variety of engineering techniques used worldwide in different organizations and in data science competitions, to clean and transform your data and variables.
What will you learn?
I have put together a fantastic collection of feature engineering techniques, based on scientific articles, white papers, data science competitions, and of course my own experience as a data scientist.
Specifically, you will learn:
How to impute your missing data
How to encode your categorical variables
How to transform your numerical variables so they meet ML model assumptions
How to convert your numerical variables into discrete intervals
How to remove outliers
How to handle date and time variables
How to work with different time zones
How to handle mixed variables which contain strings and numbers
Throughout the course, you are going to learn multiple techniques for each of the mentioned tasks, and you will learn to implement these techniques in an elegant, efficient, and professional manner, using Python, NumPy, Scikit-learn, pandas and a special open-source package that I created especially for this course: Feature- engine.
At the end of the course, you will be able to implement all your feature engineering steps in a single and elegant pipeline, which will allow you to put your predictive models into production with maximum efficiency.
Want to know more? Read on...
In this course, you will initially become acquainted with the most widely used techniques for variable engineering, followed by more advanced and tailored techniques, which capture information while encoding or transforming your variables. You will also find detailed explanations of the various techniques, their advantages, limitations and underlying assumptions and the best programming practices to implement them in Python.
This comprehensive feature engineering course includes over 100 lectures spanning about 10 hours of video, and ALL topics include hands-on Python code examples which you can use for reference and for practice, and re-use in your own projects.
In addition, the code is updated regularly to keep up with new trends and new Python library releases.
So what are you waiting for? Enroll today, embrace the power of feature engineering and build better machine learning models.
Who this course is for:
Data Scientists who want to get started in pre-processing datasets to build machine learning models
Data Scientists who want to learn more techniques for feature engineering for machine learning
Data Scientist who want to limprove their coding skills and best programming practices for feature engineering
Software engineers, mathematicians and academics switching careers into data science
Data Scientists who want to try different feature engineering techniques on data competitions
Software engineers who want to learn how to use Scikit-learn and other open-source packages for feature engineering
The Complete Python Masterclass: Build 15 Python Projects
Wednesday, December 29, 2021
The Complete Python Masterclass: Build 15 Python Projects - Python course for beginners, Learn Python Programming , Python Web Framework Django, Flask, Web scraping and a lot more.
What you'll learn
- Learn the latest version of Python i.e Python 3
- Learn the latest Django version, i.e Django 3
- Understand & learn each and every Python concept.
- Learn how to automate social media posts using Selenium
- Make Web-Applications using Python.
- Make GUI based Applications in Python using Tkinter
- Learn how to make full-stack web apps using Python and Django 3
- Learn how to process images & videos using OpenCV
- Learn how to make your own web-scraping tool using Python
- Build database oriented desktop apps with Python, PostgreSQL & Tkinter.
- Understand all Django concepts
- Understand all Flask Concepts
- Learn how to perform data analysis using Python
- Learn object oriented programming in Python
- Learn how to perform file compression & decompression using Python
- Learn how to analyse supermarket sales data using data analysis
- Build a QR code generator using Python
- Build a text-to-speech converter
- Learn how to hash passwords in Python
- Build A Budget Tracker Web Application With Python & ChartJs
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 39+ 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 3, Data Analysis, Flask, Tkinter, OpenCV, File Compression, 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 17 Major sections.
Here is a brief description of what you will learn in each section.
Section 1: Python basics.
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: File Compression & Encoding In Python.
In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library.
Section 5: Text To Speech Converter Using Python.
Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech.
Section 6: QR Code Generator.
We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter.
Section 7: Video Downloader App.
In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python.
Section 8: Building A Credit Card Validator Using Lhun's Algorithm.
In this section we will learn what is Lhun's algorithm and how it is used to validate credit cards. We learn how Lhun's algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python.
Section 9: 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.
In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib.
Section 10: Python Web Framework Django 3.
This section will teach you how to build full-stack web applications with Python & Django 3. 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.
In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented.
Section 11: 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 12: 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 13: 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 14: 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 15: 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 16: Network Programming In Python Using Sockets: Building A Chat Application.
Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application. In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices.
Section 17: 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 Gaussian 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
Who this course is for:
- Beginners who want to learn Python.
- Beginners who want to learn Django.
- Beginners who want to learn Flask.
- Web Developers.
- Students who wish to learn a new skill to develop their career.
- Who want to get a job as a Python developer.
Natural Language Processing Real World Use-cases in Python
Natural Language Processing Real World Use-cases in Python - Learn how to use NLTK , scikit-Learn , sentiment analysis & many more to conduct to solve Real World Problems of NLP
What you'll learn
- Hands on Real-World Projects on Various Domains of Natural Language Processing
- Build Natural Language Processing & ML Models to solve a real world problem
- Develop Natural Language Processing Models to predict Whether news is fake or real
- How to perform Setiment analysis
Requirements
Basic knowledge of programming is recommended. Otherwise the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science and directly apply these skills to solve real world challenging business problems.
Description
Are you looking to land a top-paying job in Data Science/Natural Language Processing?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Natural Language Processing and Machine Lrarning?
Welcome to the course of Real world use-cases on Natural Language Processing ! This course is specifically designed to be ready for Job perspective in Natural Language Processing domain using Python programming language.
In the course we will cover everything you need to learn in order to solve Real World Challenges in NLP with Python.
We'll start off with the basics, learning how to open and work with text and csv files with Python, as well as we will learn how to clean & manipulate data & how to use regular expressions to search for custom patterns inside of text data...
Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as we will cover intuition behind tokenization, Stemming and lemmatization of text.
1.Project #1 @Predict Ratings of a Zomato Resaturant : Develop an AI/NLP model to predict Ratings of Zomato Restaurants..
2.Project #2 @Predict Whether News is Fake or Real: Predict whether news is fake or Real by building Pipeline..
3.Project #3 @Predict Winner of a Election : Perform Sentiment Analysis to Predict winner of a election..
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Scientist/AI Engineer/ ML Engineer
It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging ,wrangling and concatenating data , perform advance Exploratory Data Analysis & preparing and processing data for Statistics, Machine Learning , NLP & to come up with meaningful insights at the end..
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion
Not only do you get fantastic technical content with this course, but you will also get access to both our course related Question and Answer forums which is available for you 24*7
Guaranteed Satisfaction : All of this comes with a 30 day money back guarantee, so you can try the course risk free.
What are you waiting for? Become an expert in natural language processing today!
I will see you inside the course,
Who this course is for:
- One who is curious about to do Carrier Transition into Data Science, Machine learning & Natural Language Processing,
Build Web Apps with Vue JS 2 & Firebase
Tuesday, December 28, 2021
Build Web Apps with Vue JS 2 & Firebase, Learn Vue JS & Firebase by creating & deploying dynamic web apps (including Authentication).| HIGHEST RATED, Created by Shaun Pelling, English [Auto-generated], Indonesian [Auto-generated], 3 more
PREVIEW THIS COURSE - GET COUPON CODE
Description
If you're looking to get started building full-stack applications with Vue JS and Firebase, then look no further. In this course I'll take you from novice to ninja in Vue JS, starting out with the very basics of VueJS and then moving on towards creating fully-fledged VueJS applications.
We'll spend a whole chapter learning about the Vue Router - and how to create SPA's (single page applications) using it - as well as exploring how to use the Vue CLI to get up and running quickly when creating Vue applications.
I'll also teach you how to use Firebase, an online, free service provided by Google which acts as a very feature-rich, fully-fledged back-end to our applications. We'll learn how to use Firebase to store and retrieve data to and from a NoSQL database called Firestore, as well as authenticate our app's users with the Firebase Auth service, We'll also take a peak at Firebase Cloud Functions (which allow us to run server-side JavaScript code in a Node.js environment), as well as deploying all of our applications to Firebase hosting.
There's a crazy amount to cover, but by the end of this course you'll be in a position to create full-stack web applications (complete with user authentication) using Vue JS and Firebase!
I'm also know as The Net Ninja on YouTube
...With around 200,000 subscribers and nearly 1000 free web development tutorials. So feel free to check out my teaching style and reviews before you buy my course :).
This course is built with Vue 2.x, and will be added to with extra sections in the future.
HTML & CSS Tutorial and Projects Course
Monday, December 27, 2021
Free Coupon Discount - Web Development for Absolute Beginners.Learn HTML5 and CSS3 from scratch. Build Amazing Real World Projects | Created by John Smilga
Students also bought
- Awesome Apps with React Hooks and Firebase
- React Tutorial and Projects Course
- Gatsby Tutorial and Projects Course
- React js. From the beginning. w/ Redux and React Router
- Svelte Tutorial and Projects Course
Preview this Udemy Course GET COUPON CODE
Description
If you want to start your career in Web Development, HTML and CSS are essential skills to have because they are foundational languages of the web.
HTML stands for Hyper Text Markup Language. In short HTML is a markup language that is used developing web pages.
CSS stands for Cascading Style Sheets. In short CSS is a language responsible for layout and styling of the web pages.
In this course we will cover both languages from the scratch and by the end of the course become HTML and CSS ninjas by building Responsive Real World Projects.
Why you should take this course?
Reason Number ONE - You Will Understand the Web Better.
Knowing the HTML and CSS and how they are used to create web pages is essential for web developer as they are building blocks of every web page.
Reason Number TWO - You Will be able to Create Websites.
Once you will know HTML and CSS you will be able to create a personal,unique web page for yourself.
Reason Number THREE - Start a Web Career.
For anybody who wants to pursue a career in Web Development knowledge of HTML and CSS is required.
Reason Number FOUR - You Will Progress to Another Programming Languages with Greater Ease.
Once you know the fundamentals of HTML and CSS you will be able to pick up languages like Javascript with greater ease.
Reason Number FIVE - We Will Learn HTML and CSS from Scratch and Will Use it to Build Responsive Real Life Projects.
Not only we will learn the theory of HTML and CSS step by step. We also will apply our knowledge by building Real Life Projects.
Who this course is for:
Anyone who wants to learn Web Development from scratch.
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Apache Spark with Scala - Hands On with Big Data!
Sunday, December 26, 2021
Free Coupon Discount - Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop | Created by Sundog Education by Frank Kane, Frank Kane
Students also bought
- Streaming Big Data with Spark Streaming & Scala - Hands On!
- Scala & Functional Programming for Beginners | Rock the JVM
- Advanced Scala and Functional Programming | Rock the JVM
- Akka Streams with Scala | Rock the JVM
- Apache Flink | A Real Time & Hands-On course on Flink
Preview this Udemy Course GET COUPON CODE
Description
New! Updated for Spark 3.0.0!
“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb.
Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On".
Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course.
Learn the concepts of Spark's Resilient Distributed Datastores
Get a crash course in the Scala programming language
Develop and run Spark jobs quickly using Scala
Translate complex analysis problems into iterative or multi-stage Spark scripts
Scale up to larger data sets using Amazon's Elastic MapReduce service
Understand how Hadoop YARN distributes Spark across computing clusters
Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX
By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes.
We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to SpiderMan? You'll find the answer.
This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 7.5 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.
Enroll now, and enjoy the course!
"I studied Spark for the first time using Frank's course "Apache Spark 2 with Scala - Hands On with Big Data!". It was a great starting point for me, gaining knowledge in Scala and most importantly practical examples of Spark applications. It gave me an understanding of all the relevant Spark core concepts, RDDs, Dataframes & Datasets, Spark Streaming, AWS EMR. Within a few months of completion, I used the knowledge gained from the course to propose in my current company to work primarily on Spark applications. Since then I have continued to work with Spark. I would highly recommend any of Franks courses as he simplifies concepts well and his teaching manner is easy to follow and continue with! " - Joey Faherty
Who this course is for:
Software engineers who want to expand their skills into the world of big data processing on a cluster
If you have no previous programming or scripting experience, you'll want to take an introductory programming course first.
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
GraphQL with React: The Complete Developers Guide
GraphQL with React: The Complete Developers Guide, Learn and master GraphQL by building real web apps with React and Node | Created by Stephen Grider, English [Auto-generated], French [Auto-generated], 7 more
PREVIEW THIS COURSE - GET COUPON CODE
This course includes
- 13 hours on-demand video
- 3 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Description
Note: This course assumes you are familiar with React!
If you're tired of spinning your wheels trying to figure out what type of backend server to use, this is the course for you.
Authentication? You will learn it. Apollo Data? Included. Integration with React? Of course!
This course will get you up and running with GraphQL quickly, and teach you the core knowledge you need to deeply understand and build React applications quickly.
Both OSX and Windows supported.
We'll start by mastering the fundamentals of GraphQL, including data types, schemas, and integration with Express and React. Source code is provided for each lecture, so you will always stay up-to-date with the course pacing. Special attention has been paid to creating code that you'll be able to make use of on your own fantastic projects.
If you are new to GraphQL, or if you've been working to learn it but sometimes feel like you still don't quite 'get it', this is the GraphQL course for you! To learn GraphQL you have to understand it.
Learn how to use GraphQL's schema to define relations between your data objects
Learn the process of combining a backend server with a front end React
Master the process of thinking about your applications data in terms of a graph structure
Grasp the difference between GraphQL, Apollo, and Relay, and when to use each
Develop apps that are unique, fun, and responsive.
Build servers that can be used with both React and React Native applications
Master handling authentication with GraphQL
Learn the core principles of navigation with React Router and GraphQL
I've built the course that I would have wanted to take when I was learning GraphQL. A course that explains the concepts and how they're implemented in the best order for you to learn and deeply understand them.
The Result-Oriented Web Developer Course - BOOTCAMP 2022
Saturday, December 25, 2021
Free Udemy Coupon
The Result-Oriented Web Developer Course - BOOTCAMP 2021 - Full Stack Web Development. Full Stack Web Development Bootcamp. HTML, CSS, JavaScript, etc. ! Major Projects. Complete
- Created by Vertex Academy
- English [Auto]
What you'll learn
- Build 9 major projects
- Get a job as a junior web developer
- Think like a software developer
Description
After browsing numerous full stack web development bootcamps on Udemy and other platforms, it became obvious that this bootcamp sets a NEW STANDARD in online courses. It is your fastest way to become a web developer.
What's more, with this course you can be 100% sure that instructors always respond to your questions, because your success is PRIORITY #1 to them.
From Udemy reviews:
"Absolute quality. I am learning these topics as a complete beginner, having/wanting/needing to change industries because of this pandemic. I knew I would want several resources so purchased multiple bootcamps to learn from. This one is of the absolute best! Not only the material is current (2021), it is presented in an incredibly descriptive manner with plenty of visuals and instruction. I highly recommend this to anyone starting out in this field or coming back to learn the basics. Kudos." - Stephanie Quintana
“… I've used all the "big names" in online courses, and this is the most comprehensive course I've taken. On other learning platforms, oftentimes you're only coding a portion of the site and I think you miss the "big picture". In this course, you build the projects completely from the ground up. And the instructors are incredibly responsive to all questions. Give these guys your money, they deserve it!” – Andrew S.
“I did a lot of research until I ultimately decided on this course, and I'm very happy with the choice I made. I really love the way in which the lessons are taught by both demonstrating and allowing you to practice along. Any and all questions asked are answered in-depth and timeously, which I truly appreciate” – Ryan Griffiths
-- WE GUARANTEE THAT --
-- THERE IS NO WEB DEVELOPMENT BOOTCAMP LIKE THIS ON THE MARKET --
Reason #1: This course is taught by professional web development bootcamp instructors
We have 9+ years’ experience in software development and 5+ years’ experience conducting highly-effective web development bootcamps. Our students become web developers from scratch in the shortest possible time thanks to our unique teaching method.
“The instructor has a talent for knowing what questions you have ... and makes the right thing clear at the right time. This is the mark of a great teacher. “– Bob Douglas, USA
Reason #2: This course sets a NEW STANDARD in online education
We spend lots of time developing strict methodology and premium, animated slides. Our teaching method completely distinguishes our courses from all others on the Internet.
Whereas other instructors explain theory by coding-and-coding on a black screen, our teaching method flows like a well-illustrated book. First, all theory is explained through visuals and animations, showing you exactly what the code is actually doing. And then, when you have already gotten the concept, it is shown in practice.
“Each video starts with awesome animation which explains the concept and …then reinforced with practical examples. You guys totally understand how a student thinks and you guys know how to teach, which is very rare and a God-gifted quality.” – Vivek, India
Reason #3: Throughout this bootcamp you will never be alone
We know how important it is to get timely and detailed answers from the instructor when you are learning web development. That’s why we are always ready to answer your questions. The success of our students is PRIORITY #1.
With other courses many instructors don’t answer at all or you could be waiting for 3-10 days to get an answer. We answer literally every question of every student within 24 hours.
“Highly recommended! Straight to the point tutorials and concise, they always let you know what's best practice and what the smartest approach is. Big plus that they always answer questions as soon as they can! Their answers are always so detailed too, they take time to make sure they explain the answers well” – Kai W
Reason #4: All lessons are constantly updated
With this course you can be 100% sure that your video lectures are always up-to-date. Many other courses contain lots of outdated information because web development is rapidly changing. Our bootcamp, however, is constantly updated to reflect the latest standards and changes in web development.
Reason #5: The course is completely project-based
It’s packed with 9 major real-world projects, in contrast to other courses that have projects that look nice to beginners but aren't real-world projects. And our projects are a perfect addition to your CV to impress your future employer.
“Love this course! It feels that a great amount of effort has been put into this course, the teaching method is great as well as the slides and the projects. I have started it knowing only a little of basics, but now I feel that I have a whole picture of how it all works. Thank you, Vertex Academy, I've learned a lot and special thanks for quick and friendly replies to questions, you're the best” - Rena
Reason #6: This course is the fastest way to learn full stack web development
This bootcamp is so effective because of:
1. Our unique teaching method
2. The project-based approach
3. Detailed and timely answers to all your questions
Reason #7: Learn technologies used by Google, Amazon, Netflix, etc.
We will lead you through every technology used by major IT companies step-by-step. The course is fully packed with 52 hours and counting.
Let’s start this amazing journey together: from newbie to junior web developer!
“This course, is exactly what I have been looking for, I have learnt so much already, I would recommend this course to anybody wishing to learn web development.” – Lorraine j Jones.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
YOUR LEARNING PLAN:
In this course you will learn the following coding technologies and tools:
HTML5
CSS3
Emmet
Photoshop
Flexbox
Bootstrap 5 - NEW
JavaScript (ES9, ES2018)
Asynchronous JavaScript (callback, promise, async/await)
jQuery
Git & GitHub
The Command Line
Node.js
Express
MongoDB
Mongoose
REST
AJAX
API
Deploying (GitHub, Heroku, etc.)
This course is logically divided into 3 STEPS:
In steps 1 & 2 you will learn front-end web development.
In step 3 you start learning back-end web development.
STEP 1: Front-end web development – From Absolute Beginner to Intermediate
Students begin with the basics of front-end web development and will come to understand the logic used by web developers. From there, they will go on to create four static websites in which interactivity will be applied in step two.
· HTML5
· CSS3
· Emmet
· Photoshop
· FlexBox
STEP 2: Front-End Web Development – Upper Intermediate
Students will learn how to add interactivity to websites by learning Bootstrap, JavaScript and jQuery. Now, you will build four interactive websites and apps.
· Bootstrap 4
· JavaScript (ES9, ES2018)
· jQuery
· Git & GitHub
STEP 3: Back-End Web Development
Students learn effective communication between a server and a database. The complexity of the final project combines the tools and technologies previously covered.
· The Command Line
· Node.js
· Express
· Asynchronous JavaScript (callback, promise, async/await)
· MongoDB
· Mongoose
· REST
· AJAX
· API
· Deploying (GitHub, Heroku, etc.)
NO RISK! You have a 30-day money-back guarantee, no questions asked.
So, what are you waiting for? Enroll in the course and start building your career in web development today!
Who this course is for:
- Anyone who wants to become a web developer
- Students learning web development
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Web Development Masterclass - Complete Certificate Course
Web Development Masterclass - Complete Certificate Course, Learn to setup virtual cloud servers and develop database-driven websites using the latest web technologies.
- Created by YouAccel Training
- English [Auto], Spanish [Auto]
What you'll learn
- Understand the essentials of Local and Wide Area Networks
- Setup a basic network.
- Register a domain name with Domain Privacy
- Forward a domain, renew and administer a domain
- Configure Nameservers and DNS Zone Files
- Create and Configure a Testing server on a Local Windows or MAC System.
- Configure a Production web server on popular cloud hosting platforms.
- Create disk backups and install disk images on a virtual server
- Setup Ubuntu on a Virtual Machine
- Install and configure WAMP for Windows
- Install and configure MAMP for MAC
- Administer a remote server using PuTTY or Terminal
- Proficiently navigate the Linode Virtual Server Dashboard
- Configure Security Settings on a Virtual Ubuntu Server
- Scale a virtual server up and down depending on needs
- Install LAMP Stack (Linux, Apache, MySQL, PHP, PhpMyAdmin) on a local and remote server
- Setup users and access privileges on an Ubuntu server
- Upload files using FileZilla FTP Client
- Proficiently Program in HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, and AJAX
- Create mobile responsive web applications using Bootstrap
- Create unique animated objects using jQuery
- Create and administer MySQL databases using PhpMyAdmin
- Create Web-based Login Authentication using PHP and MySQL
- Create the famous "Google Search Suggest" Feature using AJAX and PHP
- Create server and client side validation algorithms for web forms.
- Use Google Apps for Work to setup a customized business email address
Description
This course is fully compatible with the latest versions of Ubuntu (20.04 LTS, 18.04 LTS). You can also continue using 14.04 LTS or 16.04 LTS if you prefer, as the content is compatible with all versions.
This course offers a comprehensive look into the entire web development process - from local server configuration using WAMP and MAMP (Apache, MySQL, PHP) to production deployment using the latest web technologies including: LAMP Stack (Linux, Apache, PHP and MySQL) for Ubuntu, HTML5, CSS, Bootstrap, JavaScript, jQuery, XML, and AJAX.
The content is ideal for those interested in working as a web developer, launching a web application, or devoted enthusiasts. The concepts explored in this course are suitable for individuals of all skill levels. Each module starts with the fundamental concepts and gradually transitions into more advanced material.
What makes this course unique?
This course is specifically intended to teach students to develop web applications using the most efficient methods and the latest web technologies. Through live demonstrations we teach the importance of using scalable cloud hosting infrastructures during the development process. This includes small informational websites of only a few pages to advanced 'big data' style, dynamic web applications. We go through several live examples of web development and Linux based server configurations on popular Cloud hosting providers such as Linode.
Section 1 & 2 (Introduction, How the Internet Works)
The course begins with with an overview of learning objectives. We then explore how the internet works, including the composition and transmission of data packets over both local and wide-area Networks. Next we take a look at the HTTP and HTTPS protocols as applicable to client and server side communications - including DNS Lookups. This section will also teach students how email exchange works over SMTP and IMAP. The role of Network Ports and Firewalls are also introduced.
Section 3, 4: (The Web Development Process, Planning a Website)
Students will gain an understanding of all the steps involved in the web development process.
Section 5: Web Hosting and System Requirements
We conduct an in-depth case analysis of web hosting solutions including: Shared, Virtual Private, Dedicated and Cloud Hosting.
We provide an overview of various packages offered by different web hosting companies and weigh the pros and cons of each one.
Students are also introduced to the importance of web server scalability and the advantages of cloud hosting over traditional hosting services. We also examine the infrastructure requirements of popular, resource intensive applications such as Netflix and Facebook to emphasize the importance of avoiding costly mistakes in the initial stages of development.
Section 6: Domain Names
We provide an overview of the domain name registration process. This includes the role of registrars and TLD (Top Level Domain) administration by ICANN. ccTLD's (Country Code Top Level Domains) are also explored.
Students gain hands-on experience with the registration process using popular domain registrars. We provide a comparison of different registrars and register a sample domain name using GoDaddy. Other topics of discussion include: domain name privacy and administration, auto-renewal, domain forwarding, and name server assignment.
Section 7: Testing Environment
Students are introduced to configuring a local testing server on a PC or MAC system using WAMP (Windows) or MAMP (MAC). The lessons provide a detailed guide on installation of the packages and an overview of the interface.
Section 8: Production Environment
Students acquire the skills needed to optimally configure a live production environment for securely hosting web applications on a cloud server (Linode). The section starts with an overview of different cloud hosting providers such as Amazon Web Services, Microsoft Azure, Linode and Digital Ocean.
We then provide a live demonstration of server setup using Linode. This includes deployment of Ubuntu and installation of LAMP Stack (Linux) on the Linode Server using remote access consoles such as Terminal (MAC) and PuTTY for Windows.
Students gain an in-depth knowledge of server maintenance, file and directory commands. We also explore SSH Authentication for multiple users and file permissions to reduce security vulnerabilities. Remote Desktop connections for server administration are taught, using Tight VNC (Windows) and RealVNC (MAC).
A thorough overview of the Linode server management console is conducted, to show students how to scale servers, change root passwords, manage the DNS Zone file and create back-ups.
Section 9: FTP Setup
Students learn the role of an FTP (File Transfer Protocol) client to connect to a remote server, through a local machine. We provide a live demonstration on file upload using FileZilla and explore the FileZilla Interface for connection management.
Section 10: HTML Development
This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch.
Section 11: CSS Development
Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson.
Section 12: Document Object Model (DOM)
As a precursor to JavaScript, we explore the DOM (Document Object Model). We explain its usage and application in manipulating HTML and CSS elements.
Section 13: JavaScript Development
We introduce students to JavaScript coding to add interactivity to static HTML and CSS pages. The section starts with discussing JavaScript placement, using both internal and external scripts. We then take a look at JavaScript output, variable declarations, arithmetic operators, objects, strings, math functions, arrays, conditional statements, loops, functions and events. Students also go through two hands-on projects that will further solidify their knowledge of the concepts explored in the lessons.
Section 14: JQuery Library
We explore the jQuery library and many of its unique features, used to create stunning, animated web pages. We start with the basics, from embedding jQuery into web pages to working with Selectors. Students then explore working with events, toggling, fading, sliding, and other forms of animation. The lessons also teach students how to work with callbacks, chaining, dragables, accordion menus and many other functions.
Section 15: Bootstrap Framework
Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility.
Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more.
Section 16: PHP Development
Students gain exposure to creating dynamic web applications and functionality using PHP. We start with the basics, including variable declaration and data output. The lessons then transition into working with objects, conditional statements, loops, functions, arrays and form validation.
Section 17: MySQL Database Integration
Students learn to unleash the true power of web application development with MySQL database integration. We start with the basics from database and table creation, to user management. Next we explore the execution of commonly used SQL statements for database modification and administration. Students are also taught how to create database connections and execute SQL statements from PHP scripts.
Section 18, 19 (XML, AJAX, & Development)
We explore XML and AJAX integration to create dynamic content, without page refresh. The lessons cover several hands-on training exercises that will encompass many of the exciting functions AJAX offers. Students will build a website complete with database integration, registration forms with server-side validation, user authentication, and a SMTP-based contact submit form.
Section 20: Google Apps for Work
Students learn to create a customized business email address using Google Apps for Work. Email administration is also explored, along with alias creation.
Who this course is for:
- No prerequisite knowledge required
- Students interested in a career in web development
- Students interesting in starting a web based business
- Students who want to transition from basic shared, vps or dedicated hosting packages to sophisticated cloud hosting solutions
- Students wanting to update or learn new programming skills using the latest web scripting languages
- Web Development enthusiasts
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
JavaScript Algorithms and Data Structures Masterclass
Udemy Free Discount - JavaScript Algorithms and Data Structures Masterclass, The Missing Computer Science and Coding Interview Bootcamp
BESTSELLER, 4.7 (4,937 ratings), Created by Colt Steele, English [Auto-generated], Indonesian [Auto-generated], 3 more
PREVIEW THIS COURSE - GET COUPON CODE
What you'll learn
- Learn everything you need to ace difficult coding interviews
- Master dozens of popular algorithms, including 6 sorting algorithms!
- Implement 10+ data structures from scratch
- Improve your problem solving skills and become a stronger developer
Advanced CSS and Sass: Flexbox, Grid, Animations and More!
Friday, December 24, 2021
- BESTSELLER
- Created by Jonas Schmedtmann
- English
- English, Indonesian [Auto-generated], 5 more
PREVIEW THIS COURSE - GET COUPON CODE
Description
Have you been coding CSS for some time, but want to take your game to the next level? Do you feel confused with CSS jargon like inheritance, specificity or the cascade?
What if there was one resource, one place, where you could learn all the advanced and modern CSS techniques and properties you've been reading about?
Good news: there is!
Welcome to "Advanced CSS and Sass", the most advanced, the most modern, and the most complete CSS course on the internet. It's everything you want in an advanced CSS course, and more.
You will learn complex CSS animations, advanced responsive design techniques, flexbox layouts, Sass, CSS architecture, fundamental CSS concepts, and so much more.
Like in all my courses, you will build beautiful and carefully designed projects, that will make you proud of yourself and leave you ready to build complex projects on your own.
After finishing this course, you will:
1) Be up to speed with the most modern and advanced CSS properties and techniques;
2) Have mastered the cutting-edge layout technologies Flexbox and CSS Grid;
3) Be ready to build responsive layouts for all kind of devices and situations;
4) Truly understand how CSS works behind the scenes;
5) Be able to architect large CSS codebases for reusability and maintainability using Sass.
Please note that this course is NOT for absolute beginners, so you should already be at an intermediate level in HTML and CSS (please check out my other course if that's not the case).
Master Artificial Intelligence | Step-by-Step Guide for 2021
Thursday, December 23, 2021
Master Artificial Intelligence | Step-by-Step Guide for 2021
What you'll learn
- What is Artificial Intelligence?
- Benefits of Artificial Intelligence
- Careers in Artificial Intelligence
- Future of Artificial Intelligence
Description
Welcome to the comprehensive course on Master Artificial Intelligence | Step-by-Step Guide for 2021.
R Tutor is a team of software applications training professionals who explain complex information in the simplest form with relevant examples.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
Artificial Intelligence can provide humans a great relief from doing various repetitive tasks. Moreover, automation has increased the productivity of the industries by decreasing the time consumption for the tasks, as AI-powered machines are error-free, efficient, and fast.
Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons of jobs is justifiable. A career in AI looks more promising than any other jobs available these days.
On completion of the course, you will know::
What is Artificial Intelligence?
Benefits of Artificial Intelligence
Careers in Artificial Intelligence
Future of Artificial Intelligence
No prior knowledge of Artificial Intelligence is required.
Everyone can take this course and is best suited for:
Students and professionals who want to start their career in Artificial Intelligence. It is also suitable for professionals who want to excel in their Artificial Intelligence domain.
Your wait is now over. Here is the course which helps you get started and pave your success from a beginner to an expert. It's easy! Enroll now!
Who this course is for:
- Students and professionals who want to start their career in Artificial Intelligence. It is also suitable for professionals who want to excel in their Artificial Intelligence domain.
Web Design for Beginners: Build Websites in HTML & CSS 2021
Web Design for Beginners: Build Websites in HTML & CSS 2021 - Learn the Basics of HTML and CSS and get Started with Web Design
What you'll learn
- Learn how to set up the right tools for your web development process
- Grasp the main concepts that every developer should know
- Learn the basics of HTML up to the advanced level
- Learn the basics of CSS and how it works hand in hand with HTML
- Create simple yet beautiful designs as you go
- Get advanced with HTML and CSS and dive deeper in advanced parts
Description
Do you want to get started with web design, front-end development, or web development in general? If the answer is yes then you are in for a treat. In this course, you are going to learn everything you need to know about HTML and CSS which are basically the starting point of your career as a web developer. So why choose this course? why not any other course? Because I have made sure that every part of the course is informative, fun, and practical. I explained everything with detail and ease and also inside the course you will be provided and supported with PowerPoint slides, code examples, articles, exercises and so much more!!
So to elaborate a bit. I am going to introduce you to some key definitions and terms that are concerned with web development or programming in general like how the internet works, how to work with text editors what are browsers and afterward we are going to proceed to HTML basic elements, syntax, attributes and a simple intro to CSS up to some intermediate areas like lists, tables up to some hardcore areas like forms, classes, and entities. and then we will get to CSS. this course was not intended to have full CSS content, but when I started creating the course, I realized how CSS can be really beneficial with HTML. So I did an entire course on CSS just for you. I started with a revision and intro to the basic stuff, up to margins and paddings, text and fonts and I did a training up to advanced parts like position and float. So if you don't want to miss out on this journey, go ahead and get the course now and I promise you will have a fantastic, engaging, and enjoyable experience learning with me. See you inside
Who this course is for:
- Anone who is cauiors about web development
- Anyone who wants to learn HTML and CSS
- Anyone who wants to get started with front end development or web development in general
- Anyone who wants to build real world projects in HTML and CSS to build up their CVs
Learn and Understand NodeJS
Tuesday, December 21, 2021
Learn and Understand NodeJS, Dive deep under the hood of NodeJS. Learn V8, Express, the MEAN stack, core Javascript concepts, and more.| Created by Anthony Alicea | English | English, Portuguese [Auto-generated], 1 more
PREVIEW THIS COURSE - GET COUPON CODE
What you'll learn
- Grasp how NodeJS works under the hood
- Understand the Javascript and technical concepts behind NodeJS
- Structure a Node application in modules
- Understand and use the Event Emitter
- Understand Buffers, Streams, and Pipes
- Build a Web Server in Node and understand how it really works
- Use npm and manage node packages
- Build a web application and API more easily using Express
- Connect to a SQL or Mongo database in Node
- Understand how the MEAN stack works
- Be the coder that explains NodeJS to everyone else because you understand it better than anyone else
Coding for beginners :( HTML,CSS,JavaScript,Python,C#,Ruby)
Saturday, December 18, 2021
Coding for beginners :( HTML,CSS,JavaScript,Python,C#,Ruby) - Learn to code in Six different languages
What you'll learn
- Build a one page website
- Build a calculator
- Build a digital clock
- Build a blog application
- Build a Random Number Generator
- Build a number guessing game
- Learn basic HTML skills
- Learn basic CSS skills
- Learn basic JavaScript skills
- Learn basic Ruby on Rails skills
- Learn basic Python skills
Description
Coding knowledge is a must-have 21st century skill. The ability to read,write,and understand code
has never been more-important,useful,or lucrative as it is today.Computer code has forever changed our lives .
Some people can't even make it through the day without interacting with something built with code.
If you're ready to learn the magic behind web and app development but
don't know a style sheet from a string , coding for beginners is the perfect place
to start.Explore the basics of HTML,CSS,JavaScript,Ruby,C# and Python.
Learning to code in different programming languages can be fun, challenging and rewarding.
By the end of this course you should be able to confidently write code to build your own applications.
This course will walk you through how to setup the various programming environments for each programming language we will be writing code for. This is a practical hands on course and you will be learning by doing.
In this course you will learn to create a variety of applications from web based to desktop applications.
Projects we will build together from scratch:
One page Web site
Web Calculator
Digital Clock
Random Number generator
Number Guessing Game
Removing Vowels from text
Blog Application
What You will Learn include:( Some basics of HTML,CSS,JavaScript,Ruby,Python)
Attributes
Elements
Marking Up Text
Links
CSS Selectors
Box Model
Margin and Padding Property
Font Property
Statements
Expressions
Input
Output
Data Types
Variables
Arrays
Lists
Functions
Conditional
Loops
Operators
Comments
Tuples
Gems
Creating new rails project
Who this course is for:
- Beginners to Coding (programming)
Subscribe to:
Posts (Atom)