Monday, January 31, 2022
Free Coupon Discount - Unlock Excel VBA and Excel Macros, Automate Complex Tasks with Microsoft Excel VBA & Excel Macros (Real-World Projects included). Achieve More. Save time. | Created by Leila Gharani
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- Visually Effective Excel Dashboards
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Description
Go from Beginner to Microsoft Excel VBA Expert!
I'll take you step-by-step through engaging video tutorials and teach you everything you need to know to be able to use VBA to improve your work flow, save time and automate your current Excel projects.
What differentiates this course from the other Microsoft Excel VBA & macros courses? It includes:
Over 50 Microsoft Excel VBA & macro examples. These are solutions my clients have needed through the years. They are likely to be useful for you too.
Using the right VBA syntax is the most difficult part. An important topic which isn't covered enough in other VBA courses. In this course you understand why you write things in certain ways.
Create 3 Complete Excel VBA Tools. We go from idea to final product and cover each step.
Over 100 pages of documentation (including useful code) so you can easily refer to it when in need.
Simple explanations for complex concepts.
High quality video and different delivery methods to keep things interesting.
Lots of ideas to automate your current tasks.
Learn from Google or from this Course?
I've been there! I first learnt VBA from Google.
It was truly a light-bulb moment, when I realized that Google has some answers - it could give me some of the code I was looking for - but there two things missing:
The WHY - why does the code work in one situation but not another.
Structure - topic sequence, real-case examples, workbooks, documentation.
Don’t waste your time
Don't waste your time on poor quality videos and confusing explanations. In this Excel VBA course, complex topics are taught in a simple way by an instructor with 17 years of experience. The content has been carefully crafted and clearly organized. The videos are high quality and include animations to emphasize points. Most importantly you learn VBA by doing.
"I have already tried some VBA classes but so far I was never able to apply what I learnt to my own work. This course is different. I have already used some of the techniques Leila is teaching and applied it to my work files. I was able to reduce manual work for me and my colleagues by creating my own macros from scratch. Highly recommended!!!" -- Randy Taylor
"Leila is the real deal... there are many VBA courses on Udemy (some of which I've taken) that merely demonstrate the functionalities. Leila explains the important foundation concepts and how the model is set up allowing you to truly create VBA code from thought rather than copying and pasting from various places. Her class is professionally constructed, with resources and content for each lecture, practice content for you to try things yourself and good Q&A opportunities to answer specific questions. Trust me, this is the course you want to take." -- Justin Fazzio
What you can look forward to in this course:
Understand how to use the right syntax in VBA
Useful Excel VBA codes you can directly use for your work
Use the macro recorder for simpler tasks and improve the code
Working with the Visual Basic Editor
Debugging tools and error handling methods
Different ways to reference ranges and cells
Different methods to loop
How to work with data types
PivotTables in Excel using VBA
Importing data from other files and exporting data to text files
Interacting with other applications (Word, PowerPoint, Outlook)
ActiveX and Userforms to enhance the Excel interface
Basically all the knowledge you need to automate tasks in Excel
Who this course is for:
Business Professionals who'd like to simplify & automate work flow.
Data analysts.
You currently use Excel and like to improve your skills.
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Udemy Free Discounts - Microsoft Excel - Data Visualization, Excel Charts & Graphs, Master 20+ Excel charts & graphs and build custom visuals with a best-selling Excel instructor (Excel 2016 - Excel 2019)
- BESTSELLER
- 4.6 (3,946 ratings)
- Created by Maven Analytics, Chris Dutton
- English [Auto-generated], French [Auto-generated], 6 more
What you'll learn
- Understand WHEN, WHY, and HOW to use 20+ chart types in Excel 2016
- Learn advanced Excel tools like automated dashboards, scrolling charts, dynamic formats, and more
- Master unique tips, tools and case studies that you won't find in ANY other Excel course, guaranteed
- Explore fun, interactive, and highly effective lessons from a best-selling Excel instructor
- Get LIFETIME access to project files, quizzes, homework exercises, and 1-on-1 expert support
- Build 10+ Excel projects designed to take your data visualization skills to the next level
Requirements
- Microsoft Excel, ideally 2016+ or Office 365 for PC (some charts are not available in other versions of Excel)
- Mac users are welcome, but note that the user experience will be significantly different across platforms
Description
Hear why this is one of the TOP-RATED Excel courses on Udemy, and the #1 Excel Data Visualization course:
"Absolutely great stuff. I really enjoyed it! Chris is truly a Excel guru. I strongly recommend this course to all users looking to improve their skills with Excel charts & graphs."
-Nirav M.
"Excellent from start to finish! I picked up a bunch of Excel data visualization tips that will be useful in the workplace, including some very cool advanced Excel visuals and custom charts & graphs. Loved all of it, and hope I can learn more from this wonderful individual!"
-Robert C.
"At the first part I just said to myself, "Wow, Excel is capable of that? It's amazing!" Then at the second part I told myself "This guy is doing magic!", and now I feel like I'm capable of doing the same. I'm definitely buying his other Excel and data visualization courses!"
-Judit B.
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FULL COURSE DESCRIPTION:
Ask people what comes to mind when they think of Excel, and odds are they'll say "spreadsheets". The truth is, Excel is an incredibly powerful and dynamic data visualization platform for those willing to think beyond rows, columns, and primitive pie charts -- and I'm here to prove it.
This course gives you a deep, 100% comprehensive understanding of Excel's latest data visualization tools and techniques. I'll show you when, why, and how to use each Excel chart type, introduce key data visualization best practices, and guide you through interactive, hands-on demos and Excel exercises every step of the way.
__________
We'll kick things off by exploring each of the 20+ charts & graphs introduced in Excel 2016, including:
Bar & Column charts
Histograms & Pareto charts (Office 365, Excel 2016 or Excel 2019)
Line charts & trend lines
Area charts
Pies & Donuts
Scatter plots & Bubble charts
Box & Whisker charts (Office 365, Excel 2016 or Excel 2019)
Tree Maps & Sunbursts (Office 365, Excel 2016 or Excel 2019)
Waterfall & Funnel charts (Office 365, Excel 2016 or Excel 2019)
Radar & Stock charts
Heat maps, 3-D Surface & contour charts
Chloropleths & Geospatial maps
Custom combo charts & graphs
Sparklines
And more...
__________
From there we'll dive into a series of 12+ advanced Excel demos guaranteed to turn you into an absolute data viz rockstar. These aren't "textbook" demos that you can find on Excel YouTube channels; these are projects adapted from actual, award-winning work featured by Microsoft, MIT, and the New York Times. I've built my analytics career around data visualization, and I can help you do the same.
We'll cover advanced Excel data viz topics that you won't find anywhere else, including:
Custom image overlay charts
Automation with named ranges and OFFSET/COUNTA functions
Scroll & Zoom functionality with Excel form controls
Animated charts to visualize changes over time
Dynamic, custom Excel dashboards
Value-based chart formatting
Custom gauge charts & pacing charts
Grid visuals using Excel array formulas
Whether you're looking for a quick primer, trying to diversify your Excel skill set, or hoping to step up your Excel data visualization game in a major way, this course is for you.
See you there!
-Chris (Founder, Excel Maven & Maven Analytics)
__________
NOTE: Full course includes downloadable resources and Excel project files, homework and course quizzes, lifetime access and a 30-day money-back guarantee.
__________
P.S. Looking to master the full Excel + Power BI stack? Complete the path below and emerge an analytics ROCKSTAR:
Excel Pro Tips for Power Users
Advanced Excel Formulas & Functions
Data Visualization with Excel Charts & Graphs
Data Analysis with Excel PivotTables
Excel Power Query, Power Pivot & DAX
Up & Running with Power BI Desktop
Publishing to Power BI Service
Looking for the Spanish version of this Excel course? Search for Microsoft Excel - Visualización de Datos y Gráficos by Chris Dutton and Enrique Ruiz Tapia, with fully translated videos, slides, and Excel datasets!
Free Udemy Coupon
AZ-900: Microsoft Azure Fundamentals Exam Prep - MAY 2021 - Learn the fundamentals of Azure, and get certified, with this complete beginner's AZ-900 course, includes practice test!
- Bestseller
- Created by Scott Duffy • 550.000+ Students, Software Architect.ca
- English, French [Auto]
What you'll learn
- Pass the Microsoft AZ-900 Azure Fundamentals test
- Earn the Microsoft Certified Azure Fundamentals badge
- Learn the main concepts of cloud computing
- Understand what services and solutions Azure offers
- Includes Nov 9, 2020 changes!
Description
LEARN THE FUNDAMENTALS OF AZURE IN ONE DAY!
Udemy Bestseller Course, over 100,000 students. Thank you!
New course, completely re-recorded in January 2021. Some videos updated in May 2021.
The course includes the following free bonuses:
BONUS #1: All lectures manually closed-captioned in English
BONUS #2: Quiz questions to reinforce learning throughout the course
BONUS #3: Downloadable 24-page study guide PDF for the exam that covers the contents of the course
BONUS #4: 50-question practice test
BONUS #5: Downloadable audios for the course, so you can listen to the course on the go
Version 2.3 of course now live! It contains a 24-page study guide, complete audio re-mastering, audio files can be downloaded, slides can be downloaded. Quizzes added. New 50-question practice test added. This course is continually improved.
Complete preparation for the new AZ-900 Azure Fundamentals exam.
This always-up-to-date course completely covers the AZ-900 exam from start to finish. Always updated with the latest requirements. This course goes over each requirement of the exam in detail. If you have no experience in Azure, this is the course that will get you up to speed.
Microsoft Azure is still the fastest-growing large cloud platform. The opportunities for jobs in cloud computing are still out there, and finding well-qualified people is the #1 problem that businesses have.
If you're looking to change your career, this would be a good entry point into cloud computing.
Sign up today!
Who this course is for:
- Candidates with non-technical backgrounds who are interested in learning about the cloud
- Candidates with technical backgrounds who are interested in getting more advanced certs in the future
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DP-900 Azure Data Fundamentals Exam Prep In One Day - Learn the basics of Azure database services and get certified with this complete DP-900 course!
- Bestseller
- Created by Scott Duffy • 550.000+ Students, Software Architect.ca
- English
Description
LEARN AZURE DATABASE AND DATA PROCESSING TECHNOLOGIES IN ONE DAY!
The course is completely up-to-date with new requirements.
A brand new course, just launched!
Complete preparation for the new DP-900 Azure Data Fundamentals exam.
This brand new course completely covers the DP-900 exam from start to finish. Always updated with the latest requirements. This course goes over each requirement of the exam in detail. If you have no background in databases and want to learn about them and want to learn more about database concepts and services within Azure, or have some background in databases and want to progress eventually to an Azure Data Engineer or Data Analyst type role, this course is a great resource for you.
Microsoft Azure is still the fastest-growing large cloud platform. The opportunities for jobs in cloud computing are still out there, and finding well-qualified people is the #1 problem that businesses have.
If you're looking to change your career, this would be a good entry point into cloud computing on the data side.
Sign up today!
Added English, Spanish, and Portuguese closed captions.
Who this course is for:
- Students who are just starting out in the topic of cloud data
- Students who want to take more advanced Azure data certifications but want to work on the basics first
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Friday, January 28, 2022
Free Coupon Discount - Build a Social Network from Scratch: JavaScript PHP + MySQL, Learn JavaScript, PHP and MySQL by building the ultimate social network website from scratch! The complete guide! | Created by Reece Kenney
Description
Join over 5,000 students and be a part of this Udemy rated BEST SELLING course!
Do you want to become an expert in JavaScript, PHP and MySQL?
Do you want to build a social network just like Facebook?
If so, you’re in the right place! This course will guide you step by step in creating your own social network COMPLETELY from scratch.
We’re talking the kind of website that will amaze anybody that sees it. The kind of website that will get you hired in no time!
Why let me teach you?
I work as a Software Engineer at Microsoft where I build products used by millions of people all over the world! I want to take the skills I’ve gained through years of working with some of the best developers in the world and transfer them directly to you!
I’ve taught thousands of students here on Udemy and created some of the most popular development courses on Udemy!
Okay so what’s the course about?
I will personally guide you, step by step, in creating your own social network site just like Facebook complete with:
Status posts
Newsfeeds
User profiles
Chat/messaging systems
Friend systems
And much more
Whether you are a complete beginner* or an experienced programmer, this course will be massively beneficial to you.
Why should I take the course?
In the programming world, the “big 4” often consists of Google, Microsoft, Facebook and Amazon. To get a job at any of these companies, you absolutely MUST know the essentials: HTML, CSS, PHP, JQuery, JavaScript and MySQL.
If you take this course, you will have nothing to worry about because we use all of these skills extensively!
Support:
By enrolling in this course, you will have the COMPLETE support of a Microsoft Software Engineer (me). I'm always ready to answer any question you may have. Programming issues, errors, feature requests, general programming advice - it doesn't matter, I'm always happy to help! I always aim to respond to questions within a few hours and it's also worth noting that I've answered EVERY SINGLE question asked so far.
Future course discounts:
By enrolling in this course, you will get access to ALL of my current and future courses for the lowest possible discount we as instructors are capable of offering on Udemy - FOREVER.
Project portfolio:
The site you create in this course will be the highlight of your project portfolio! Any potential employer who see's this project on your resume will want to hear all about it. The reason? They know that a project like this means you're familiar with the wide range of technical skills they need their employees to know.
Fun!
Finally, this project is a lot of fun and I know you'll have a great time implementing your own unique ideas as well as the ones we implement together. What are you waiting for?
Who this course is for:
In this course you will use HTML, CSS, PHP, MySQL, JavaScript and JQuery. Although we will use all of these skills, no prior experience with them is needed. Of course, you may pick things up a little faster if you have used them before, but at the start of the course, things are explained in ways that target people who have never used the skill before. Because this course appeals to beginners as well as as experienced users, it may seem a little slow paced at the start especially if you have prior programming experience. Bare with it though because it does pick up. If you are an experienced programmer, you may not learn much about the skills but you may learn how to structure a social media website. Some of the techniques and methods used are not the most efficient way to do things (e.g. we use procedural MySQLI statements), but in my opinion, they are the easiest to teach in a short amount of time and easiest to pick up having never used the skills before. Feel free to swap bits of code with your preferred methods.
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Free Udemy Coupon - DA-100 certification: Analyzing Data with Microsoft Power BI, Learn skills for Microsoft DA-100 certification using the free Power BI Desktop. Learn Power Query, DAX, M and more.
- Bestseller
- Created by Phillip Burton
- English, Spanish
What you'll learn
- Download for free and install and run the full version of Power BI Desktop, the BI and analysis software.
- Be able to create analyses, such as line charts, stacked bar charts, or geographic analyses using maps.
- You will be able to format numbers and dates, and add labels, tooltips and animation.
- You will be able to Get and Transform multiple sources of data, including merging multiple files from a folder, pivoting and unpivotting.
- Building and refine models, including adding calculated columns and measures.
- You will learn the important M and DAX functions, to enable you to build your own formulas.
Description
This course covers the content required for the DA-100 certification exam, current as per the DA-100 exam update of 23 March 2021.
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What do students like you say about this course?
Girma says: "This is another great course taught by the instructor – well-paced, every important aspects of Power BI are discussed in detail. I gained the real power of Power BI in this course."
Mohan says: "Another Excellent course by Mr Burton. This course can be used as a refresher , manual reference to review, understand and use Power BI tools efficiently. Explanations are very clear and crisp. Can help from Beginner to Intermediate level learning."
Andrew says: "I took a similar Power BI course through my work and I think this one is better. Highly recommend this training. I am a Lead ERP Financial Systems Analyst who worked mostly with Oracle BI tools. Company wants to go in a different direction so I am learning Power BI."
----------------
Do you already use reporting software such as Access, SSRS, Tableau or WebI? Or is this your first reporting software tool? Either way, welcome.
In this course, learn the skills that Microsoft want you to know, and add another tool to your CV, and even go for the Microsoft Power BI certification.
Power BI is one of the most requested reporting tools that are requested in the job market, and the ability to being able to use it now could be very useful for your current work, and your next job hunt.
This course comes in three parts:
Part 1 - Creating Visualizations (also known as Visualize the Data, and Analyze the Data)
We'll download and install for free Power BI Desktop. We'll start by creating our first visualizations (vizzes) and investigate the Power BI interface.
We'll look at the various visualisations available, and go through their common properties. We'll create maps, hierarchies, KPIs, guages, and all sorts of chart types.
Part 2 - Get and Transform Data (also known as Prepare the Data)
We see how data can be transformed, saving you time in analysing the data. We'll look at sorting and filtering, split columns, and other transform activities. We'll merge, append and combine queries together. We'll Pivot and Unpivot, and transform text, numbers, dates and times, and create custom columns using the M language.
Part 3 - Refining the model (also known as Model the Data)
We'll see how relationships can be made through multiple tables, and refine the data with custom columns and measures using the DAX language.
Part 4 - Power BI Service
We'll then publish our visualisations onto the Power BI Service (which you can sign up for free), and then from your reports create dashboards. With the Power BI Pro (for which you can get a free trial), you can also create workspaces and apps.
The course will take around 24 hours to complete, but completing this will enable you to create vizzes, dashboards and stories of your own, and know how to overcome common problems.
The course increases in difficulty slowly, so you'll create for instance a table or basic bar chart, then turn it into a stacked bar chart, and investigate more of their properties, step by step.
The course is fairly relaxed - there will be a few "wrong turns", so you can see what problems might arise, but every lesson works towards an end goal at a relatively slow pace, so you can follow on your own computer easily. I assume that you know how to use a computer, including installing programs, but the actual analysis will be at a basic level, and I'll introduce every component as we go on.
At the end of the course, you can download a certificate of completion, so you can show everyone your new-found skills, and be able to start creating analyses for yourselves.
Please note: Microsoft will retire the 70-778 exam on 31 January 2021, and the DA-100 certification will be available from 2 April 2020. This course will be kept up to date with the latest requirements.
Who this course is for:
This reporting course is meant for anyone who has no prior experience of Power BI. It's also for you if you have used it, but never designed a report.
It's great if you have created analyses in other reporting tools, such as Microsoft Access, WebI, SSRS, Tableau or Yellowfin, but it not essential. If you have, then it will be another string to your bow.
It would also be good if you had prior experience in using Excel formulas, but again, that is not essential.
No prior experience in reporting tools or creating formulas is required.
This course is probably not for you if you always know how to use Power BI and know how to create reports, although we will be looking at some more advanced topics, including the M and DAX languages.
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Free Coupon Discount - Microsoft Excel - Advanced Excel Formulas & Functions, Master 75+ Excel formulas with hands-on demos from a best-selling Microsoft Excel instructor (Excel '07 - Excel
Bestseller
Created by Maven Analytics Chris Dutton
Students also bought
Microsoft Power BI - Up & Running With Power BI Desktop
Microsoft Excel - Data Visualization, Excel Charts & Graphs
Microsoft Excel - Excel from Beginner to Advanced
MySQL Database Administration - SQL Database for Beginners
MS Excel 2019 - Data Analysis With Pivot Tables and Charts
Preview this Udemy Course GET COUPON CODE
Description
See why this is one of the TOP-RATED Excel courses on Udemy:
"One of the best Excel courses I've ever taken. You can see through his videos how passionate he is about Excel. Thanks for this awesome course, and count me in for the next ones!"
-Julio Garcia
"This is an exceptionally valuable course. The information is vital with examples of best practices from a true Excel expert. Chris Dutton can teach!"
-Barbara S.
"Chris Dutton is an EXPERT in Excel. He makes comprehensible to the student the complex (sometimes super-complex) nature of the formulas he uses. Everything that is written at the course description, although it may seem pure marketing and publicity at first glance, is indeed true. If I could rate it higher I definitively would. THANKS Chris!"
-Bruno Ricardo Silva Pinho
__________
FULL COURSE DESCRIPTION:
__________
It's time to show Excel who's boss. Whether you're starting from square one or aspiring to become an absolute Excel power user, you've come to the right place.
This course will give you a deep understanding of the advanced Excel formulas and functions that transform Excel from a basic spreadsheet program into a dynamic and powerful analytics tool. While most Excel courses focus on simply what each formula does, I teach through hands-on, contextual examples designed to showcase why these formulas are awesome and how they can be applied in a number of ways. I will not train you to regurgitate functions and formula syntax; I will teach you how to THINK like Excel.
__________
By the end of the course you'll be writing robust, elegant formulas and functions from scratch, allowing you to:
Easily build dynamic tools & Excel dashboards to filter, display and analyze your data
Go rogue and design your own formula-based Excel formatting rules
Join datasets from multiple sources with Excel's LOOKUP, INDEX & MATCH functions
Pull real-time data from APIs directly into Excel (weather, stock quotes, directions, etc.)
Manipulate dates, times, text, and arrays
Automate tedious and time-consuming tasks using cell formulas and functions in Excel (no VBA required!)
__________
We'll dive into a broad range of Excel formulas & functions, including:
Lookup/Reference functions
Statistical functions
Formula-based formatting
Date & Time functions
Logical operators
Array formulas
Text functions
INDIRECT & HYPERLINK
Web scraping with WEBSERVICE & FILTERXML
__________
What gives you the right to teach this class? Can't I just Google this stuff?
I have a genuine passion for Excel that most people reserve for things like kittens, ice cream, and significant others. The only thing I love more than learning Excel is teaching it, and as the founder of Excel Maven and Maven Analytics I've been lucky enough to teach Excel to 200,000+ students across 180+ countries. My teaching style is conversational, authentic and to the point, and I will always communicate complex concepts in a framework that is clear and easy to comprehend.
As a full-time analytics consultant and Excel instructor, I cut my teeth using Excel to solve real-world business problems and develop award-winning analytics & data visualization tools for Fortune 500 companies. If you care about creds, I'm a card-carrying MOS Certified Excel Expert and my work has been featured by Microsoft and the New York Times. Ok so I don't actually carry the card, but you get the idea.
If you're looking for the ONE course with all of the advanced Excel formulas and functions that you need to know to become an absolute Excel ninja, you've found it.
See you in there!
-Chris (Founder, Maven Analytics)
__________
Most students in this course enroll in our full EXCEL LEARNING PATH, designed to help you build a deep, expert-level Excel skill set:
Advanced Excel Formulas & Functions (you are here)
Data Visualization with Excel Charts & Graphs
Data Analysis with Excel PivotTables
Excel Power Query, Power Pivot & DAX
Excel Pro Tips for Power Users
Looking for the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses!
*NOTE: Full course includes downloadable resources and Excel project files, homework and course quizzes, lifetime access and a 30-day money-back guarantee. Most lectures compatible with Excel 2007, Excel 2010, Excel 2013, Excel 2016, Excel 2019 or Office 365.
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Tuesday, January 25, 2022
Free Coupon Discount - Become a Probability & Statistics Master, Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions
BESTSELLER, 4.6 (2,514 ratings), Created by Krista King, English [Auto-generated], French [Auto-generated], 4 more
Description
HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:
Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.
Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.
Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.
Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.
HERE'S WHAT SOME STUDENTS OF BECOME A PROBABILITY & STATISTICS MASTER HAVE TOLD ME:
“Krista is an experienced teacher who offers Udemy students complete subject matter coverage and efficient and effective lessons/learning experiences. She not only understands the course material, but also selects/uses excellent application examples for her students and presents them clearly and skillfully using visual teaching aids/tools.” - John
“Really good, thorough, well explained lessons.” - Scott F.
“This is my second course (algebra previously) from Ms. King's offerings. I enjoyed this course and learned a lot! Each video explains a concept, followed by the working of several examples. I learned the most by listening to Ms King's teaching of the concept, stopping the video, and then attempting to work the example problems. After working the problems, then watching her complete the examples, I found that I really retained the concepts. A great instructor!” - Charles M.
YOU'LL ALSO GET:
Lifetime access to Become a Probability & Statistics Master
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Enroll today!
I can't wait for you to get started on mastering probability and statistics.
- Krista :)
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A-Z Machine Learning using Azure Machine Learning (AzureML) - Azure ML (Machine Learning): Azure Machine Learning Studio, Machine Learning on cloud, Machine Learning without coding
- Bestseller
- Created by Jitesh Khurkhuriya, Python, Data Science & Machine Learning A-Z Team
- English, French [Auto]
Preview this Udemy Course GET COUPON CODE
What you'll learn
- Master Data Science and Machine Learning Models using Azure ML.
- Understand the concepts and intuition of Machine Learning algorithms
- Build Machine Learning models within minutes
- Choose the correct Machine Learning Algorithm using the cheatsheet
- Deploy production grade Machine Learning algorithms
- Deploy Machine Learning webservices in the simplest form possible including excel
- Bring in great value to business you manage
Description
Machine Learning is one of the hottest and top paying skills. It's also one of the most interesting field to work on.
In this course of Machine Learning using Azure Machine Learning, we will make it even more exciting and fun to learn, create and deploy machine learning models. We will go through every concept in depth. This course not only teaches basic but also the advance techniques of Data processing, Feature Selection and Parameter Tuning which an experienced and seasoned Data Science expert typically deploys. Armed with these techniques, in a very short time, you will be able to match the results that an experienced data scientist can achieve.
This course will help you prepare for the entry to this hot career path of Machine Learning as well as the Azure DP-100: Azure Data Scientist Associate exam.
This course has more than 80 lectures and is over 11 hours in content. That simply means, we go through the details of Data Science and Machine Learning along with its implementation. Almost every topic has a hands-on lab that you can practice. I have dealt with almost all scenarios during my tenure with various governments across the world and Fortune 500 companies.
I am committed to and invested in your success. I have always provided answers to all the questions and not a single question remains unanswered for more than a few days. The course is also regularly updated with newer features.
Learning data science and then further deploying Machine Learning Models have been difficult in the past. To make it easier, I have explained the concepts using very simple and day-to-day examples. Azure ML is Microsoft's way of democratizing Machine Learning. We will use this revolutionary tool to implement our models. Once learnt, you will be able to create and deploy machine learning models in less than an hour using Azure Machine Learning Studio.
Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality. Azure Machine Learning (AzureML) is considered as a game changer in the domain of Data Science and Machine Learning.
This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists to learn the AzureML tool. You can skip some of the initial lectures or run them at 2x speed, if you are already familiar with the concepts or basics of Machine Learning.
The course is very hands on and you will be able to develop your own advance models while learning,
Advance Data Processing methods
Statistical Analysis of the data using Azure Machine Learning Modules
MICE or Multiple Imputation By Chained Equation
SMOTE or Synthetic Minority Oversampling Technique
PCA; Principal Component Analysis
Two class and multiclass classifications
Logistic Regression
Decision Trees
Linear Regression
Support Vector Machine (SVM)
Understanding how to evaluate and score models
Detailed Explanation of input parameters to the models
How to choose the best model using Hyperparameter Tuning
Deploy your models as a webservice using Azure Machine Learning Studio
Cluster Analysis
K-Means Clustering
Feature selection using Filter-based as well as Fisher LDA of AzureML Studio
Recommendation system using one of the most powerful recommender of Azure Machine Learning
All the slides and reference material for offline reading
You will learn and master, all of the above even if you do not have any prior knowledge of programming.
This course is a complete Machine Learning course with basics covered. We will not only build the models but also explain various parameters of all those models and where we can apply them.
In this course, we will start with some basic terms which are used very frequently in machine learning.
I will also explain
What is Machine Learning and some real world examples.
Azure Machine Learning Introduction
Provide an overview of Azure Machine Learning Studio and high level architecture.
We would also look at
Steps for building an ML model.
Supervised and Unsupervised learning
Understanding the data and pre-processing
Different model types
The AzureML Cheat Sheet.
How to use Classification and Regression
What is clustering or cluster analysis
KDNuggets one of the leading forums on Data Science calls Azure Machine Learning as the next big thing in Machine Learning. It further goes on to say, "people without data science background can also build data models through drag-and-drop gestures and simple data flow diagrams."
Azure Machine Learning's library has many pre-built models that you can re-use as well as deploy them.
This course will also be a great help in preparing for the Microsoft 70-774 exam-Perform Data Science on Cloud using Azure Machine Learning. It covers almost all the topics of Azure Machine Learning.
So see you inside the course.
Who this course is for:
Developers who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning
Business Analysts who want to apply Data Science to solve business problems
Functional Experts who can take help of Machine Learning and build/test their hypothesis quickly
Anyone who wants to learn Machine Learning
Students and non-technical professionals who want to start a career in Machine Learning
Business Process Managers who want to automate their processes or decision making
Marketing professionals who want to apply machine learning for better predictions of sales, conversion, churn
Free Coupon Discount - Tableau 20 Advanced Training: Master Tableau in Data Science, Master Tableau 20 in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
Created by Kirill Eremenko, SuperDataScience Team
Preview this Udemy Course GET COUPON CODE
Description
Ready to take your Tableau skills to the next level?
Want to truly impress your boss and the team at work?
This course is for you!
Hours of professional Tableau Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.
In this course you will learn:
How to use Groups and Sets to increase your work efficiency 10x
Everything about Table Calculations and how to use their power in your analysis
How to perform Analytics and Data Mining in Tableau
How to create Animations in Tableau
And much, much more!
Each module is independent so you can start learning from wherever you see fit. The more you learn the better you will get. However, you can stop at any time you will still have a strong set of skills to take with you.
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Monday, January 24, 2022
Free Coupon Discount - Become a Python developer in 2020. Learn Python programming step by step. Projects + tests + coding challenges included! | Created by Boris Paskhaver
Students also bought
- Data Science: Natural Language Processing (NLP) in Python
- Complete Python Bootcamp: Go from zero to hero in Python 3
- The Complete Python Masterclass: Learn Python From Scratch
- Complete Python Developer in 2020: Zero to Mastery
- Artificial Intelligence: Reinforcement Learning in Python
Preview this Udemy Course GET COUPON CODE
Description
Student Testimonials:
The course is extremely well organized with tons of great explanations and exercises for each and every topic imaginable! The instructor is a very good teacher, and gives great feedback, while rapidly answering any questions you may have. Highly recommend the course to anyone interested in Python or programming in general. - Sathvik H.
The most comprehensive and personalized learning experience in a programming course. Highly recommend to anyone interested, regardless of experience! - Danny N.
The instructor is great. Everything is really well explained. Appropriate for complete beginners as a intro to programming if that is needed. Also good if you are coming from other languages. The instructor also speaks super clearly. - Jon
Learn to Code with Python is a comprehensive introduction to Python, one of the most widely used programming languages in the world. Python powers codebases in companies like Google, Facebook, Pinterest, Dropbox, and more. Over more than 48 hours of video content, we'll tackle everything you need to know about the language to be an effective developer.
The course is jam-packed with:
48+ hours of video, with new content added frequently
60+ coding challenges that you can complete in your browser
40+ multiple-choice quizzes
35+ written assignments
Complete projects including Texas Hold-Em Poker
The course is designed from the ground up to take you from novice to professional. Complete beginners are welcome! Over 300+ videos, we'll work our way through everything the language has to offer, from the fundamentals to the advanced features of Python. Topics covered include...
Setup & Installation
Variables
Data types
Functions and Methods
Control Flow
Lists and tuples
Dictionaries
Sets
Modules
Decorators
Classes
Exception Handling
The Python Standard Library
Unit testing
...and more!
Throughout the entire journey, I'll be coding alongside you step by step in the code editor. No boring academic presentations here!
Python holds a special place in my heart -- it was the first language I ever learned! I'm honored to be able to pass on years of knowledge to a new group of avid learners. Whether you are a novice who's never written a line of code before or an experienced developer looking to dive into a new language, there’s something for you to enjoy in Learn to Code with Python.
I'm super excited to show you what this powerful language can do for you. Thanks for checking out the course!
Who this course is for:
New developers eager to tackle a powerful but simple programming language
Existing programmers looking to learn Python, the world's most popular programming language
Anyone eager to learn the most in-demand skill set of the 21st century!
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Free Coupon Discount - The Complete Self-Driving Car Course - Applied Deep Learning, Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python
Students also bought
- Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs
- Modern Reinforcement Learning: Deep Q Learning in PyTorch
- Deep Reinforcement Learning 2.0
- PyTorch for Deep Learning and Computer Vision
- Python for Computer Vision with OpenCV and Deep Learning
- Affinity Designer: Solid Foundations
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Description
Self-driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector.
Deep Learning jobs command some of the highest salaries in the development world. This is the first, and only course which makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today.
Learn & Master Deep Learning in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.
You'll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.
By the end of the course, you will have built a fully functional self-driving car fuelled entirely by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands on skills in neural networks that you can bring to any project or company.
This course will show you how to:
Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car.
Learn to train a Perceptron-based Neural Network to classify between binary classes.
Learn to train Convolutional Neural Networks to identify between various traffic signs.
Train Deep Neural Networks to fit complex datasets.
Master Keras, a power Neural Network library written in Python.
Build and train a fully functional self driving car to drive on its own!
No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.
This course also comes with all the source code and friendly support in the Q&A area.
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Friday, January 21, 2022
Free Udemy Coupon - Python for Computer Vision with OpenCV and Deep Learning, Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!
- Bestseller
- Created by Jose Portilla
- English [Auto], French [Auto]
What you'll learn
- Understand basics of NumPy
- Manipulate and open Images with NumPy
- Use OpenCV to work with image files
- Use Python and OpenCV to draw shapes on images and videos
- Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
- Create Color Histograms with OpenCV
- Open and Stream video with Python and OpenCV
- Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
- Create Face Detection Software
- Segment Images with the Watershed Algorithm
- Track Objects in Video
- Use Python and Deep Learning to build image classifiers
- Work with Tensorflow, Keras, and Python to train on your own custom images.
Description
Welcome to the ultimate online course on Python for Computer Vision!
This course is your best resource for learning how to use the Python programming language for Computer Vision.
We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking.
Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network.
This course covers all this and more, including the following topics:
NumPy
Images with NumPy
Image and Video Basics with NumPy
Color Mappings
Blending and Pasting Images
Image Thresholding
Blurring and Smoothing
Morphological Operators
Gradients
Histograms
Streaming video with OpenCV
Object Detection
Template Matching
Corner, Edge, and Grid Detection
Contour Detection
Feature Matching
WaterShed Algorithm
Face Detection
Object Tracking
Optical Flow
Deep Learning with Keras
Keras and Convolutional Networks
Customized Deep Learning Networks
State of the Art YOLO Networks
and much more!
Feel free to message me on Udemy if you have any questions about the course!
Thanks for checking out the course page, and I hope to see you inside!
Jose
Who this course is for:
Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.
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Wednesday, January 19, 2022
Free Coupon Discount - Modern Reinforcement Learning: Actor-Critic Methods, How to Implement Cutting Edge Artificial Intelligence Research Papers in the Open AI Gym Using the PyTorch Framework | Created by Phil Tabor
Students also bought
- TensorFlow 2.0 Practical Advanced
- Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
- Deep Learning: Advanced NLP and RNNs
- Modern Deep Learning in Python
- Deployment of Machine Learning Models
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Description
In this advanced course on deep reinforcement learning, you will learn how to implement policy gradient, actor critic, deep deterministic policy gradient (DDPG), and twin delayed deep deterministic policy gradient (TD3) algorithms in a variety of challenging environments from the Open AI gym.
The course begins with a practical review of the fundamentals of reinforcement learning, including topics such as:
The Bellman Equation
Markov Decision Processes
Monte Carlo Prediction
Monte Carlo Control
Temporal Difference Prediction TD(0)
Temporal Difference Control with Q Learning
And moves straight into coding up our first agent: a blackjack playing artificial intelligence. From there we will progress to teaching an agent to balance the cart pole using Q learning.
After mastering the fundamentals, the pace quickens, and we move straight into an introduction to policy gradient methods. We cover the REINFORCE algorithm, and use it to teach an artificial intelligence to land on the moon in the lunar lander environment from the Open AI gym. Next we progress to coding up the one step actor critic algorithm, to again beat the lunar lander.
With the fundamentals out of the way, we move on to our harder projects: implementing deep reinforcement learning research papers. We will start with Deep Deterministic Policy Gradients, which is an algorithm for teaching robots to excel at a variety of continuous control tasks.
Finally, we implement a state of the art artificial intelligence algorithm: Twin Delayed Deep Deterministic Policy Gradients. This algorithm sets a new benchmark for performance in robotic control tasks, and we will demonstrate world class performance in the Bipedal Walker environment from the Open AI gym.
By the end of the course, you will know the answers to the following fundamental questions in Actor-Critic methods:
Why should we bother with actor critic methods when deep Q learning is so successful?
Can the advances in deep Q learning be used in other fields of reinforcement learning?
How can we solve the explore-exploit dilemma with a deterministic policy?
How do we get overestimation bias in actor-critic methods?
How do we deal with the inherent errors in deep neural networks?
This course is for the highly motivated and advanced student. To succeed, you must have prior course work in all the following topics:
College level calculus
Reinforcement learning
Deep learning
The pace of the course is brisk, but the payoff is that you will come out knowing how to read cutting edge research papers and turn them into functional code as quickly as possible.
Who this course is for:
Advanced students of artificial intelligence who want to implement state of the art academic research papers
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Tuesday, January 18, 2022
Free Coupon Discount - Tableau 2020 A-Z:Hands-On Tableau Training For Data Science!, Learn Tableau 2020 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing! |Created by Kirill Eremenko, SuperDataScience Team
Students also bought
- R Programming A-Z™: R For Data Science With Real Exercises!
- R Programming: Advanced Analytics In R For Data Science
- TABLEAU 2018: Hands-On Tableau Training For Data Science!
- Complete IBM Cognos Analytics 11 Cloud Training Course
- TABLEAU 2018 ADVANCED: Master Tableau in Data Science
Preview this Udemy Course GET COUPON CODE
Description
Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly
Connect Tableau to a Variety of Datasets
Analyze, Blend, Join, and Calculate Data
Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualizations Using Tableau 2020
Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.
Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.
Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.
Contents and Overview
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.
To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries.
Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.
In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.
You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.
Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.
By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.
Who this course is for:
You should take this course if want to learn Tableau completely from scratch
You should take this course if you know some Tableau skills but want to get better
You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
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Free Coupon Discount - Data Science and Machine Learning Bootcamp with R, Learn how to use the R programming language for data science and machine learning and data visualization! | Created by Jose Portilla
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning:
- Programming with R
- Advanced R Features
- Using R Data Frames to solve complex tasks
- Use R to handle Excel Files
- Web scraping with R
- Connect R to SQL
- Use ggplot2 for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with R, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Data Mining Twitter
- Neural Nets and Deep Learning
- Support Vectore Machines
- and much, much more!
- Enroll in the course and become a data scientist today!
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Saturday, January 15, 2022
Free Coupon Discount - Artificial Intelligence 2018: Build the Most Powerful AI, Learn, build and implement the most powerful AI model at home. Compete with multi-billion dollars companies using ARS.
Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
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Description
Two months ago we discovered that a very new kind of AI was invented.
The kind of AI which is based on a genius idea and that you can build from scratch and without the need for any framework.
We checked that out, we built it, and... the results are absolutely insane!
This game-changing AI called Augmented Random Search, ARS for short.
And in a very simple implementation, it is able to do an exact same thing that Google Deep Mind did in their accomplishment last year - which is to train an AI to walk and run across a field.
However, ARS is 100x times faster and 100x times more powerful.
Be prepared for the most significant tech challenges of the 21st century
No need for sophisticated algorithms and frameworks
What Facebook or Google spent on millions or even more - you can literally do at home!
You will be able to compete with multi-billion dollars companies
Change the world on your own within months or even weeks
Build the most powerful AI that anyone has ever built
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Friday, January 14, 2022
Free Coupon Discount - The Complete Pandas Bootcamp 2022: Data Science with Python, Pandas fully explained | NEW Version 1.0 | 150+ Exercises | Must-have skills for Machine Learning & Finance | +Seaborn | Created by Alexander Hagmann
Description
+++++ UPDATE: Pandas Version 1.0 is finally here! This is the first course that covers Pandas 1.0. It gives optimal guidance on how to transition from versions 0.X to 1.0! +++++
Welcome to the web´s most comprehensive Pandas Bootcamp with 30+ hours of structured video content and 150+ exercises!
This course has one goal: Bringing your Data Handling skills to the next level to build your career in Data Science, Machine Learning, Finance & co. This course is structured in four parts, beginning from Zero with all the Pandas Basics (PART 1). PART 2 is the heart of this course and shows the complete data workflow: Importing, Cleaning, Merging, Aggregating, Grouping and Preparing Data for Statistics & Machine Learning. Finally, you can test your new skills in a Comprehensive Project Challenge that is frequently used in Data Science job applications / assessment centres (PART 3). In the last part of this course (PART 4), you will learn how to import, handle and work with (financial) Time Series Data.
Why to take a course on Pandas?
The world is getting more and more Data-Driven. New professions like Data Scientist are gaining ground with $100k+ salaries. It´s time to switch from Soap Box Cars (Spreadsheet Software like Excel) to High Tuned Racing Cars (Pandas)!
Python is a great platform/environment for Data Science with powerful Tools for Science, Statistics and Machine Learning. And the Pandas Library is the Heart of Python Data Science. Pandas enables you to import, clean, join/merge/concatenate, manipulate and deeply understand your Data and finally prepare/process Data for further Statistical Analysis, Machine Learning or Data Presentation. In reality, all of these tasks require high proficiency in Pandas! Data Scientist typically spend up to 85% of their time with manipulating Data in Pandas.
A frequently asked question of Python Beginners is: "Do I need to become a Python Coding Expert before I can start working with Pandas?"
The clear answer is: "No! Do you need to become a Microsoft Software Developer before you can use Excel? Probably not!"
You require some Python Basics like Data Types, simple Operations/Operators, Lists and Numpy Arrays. In the Appendix of this course, you can find 4 hours of Python Basics. This Python Intro is tailor-made and more than sufficient for Data Science purposes!
As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!
Why to take this Course?
- It is the most relevant and comprehensive course on Pandas.
- It is the most up-to-date course and the first that covers Pandas Version 1.0. Pandas Library has experienced massive improvements in the last couple of months. From my own experience, working with and relying on outdated code can be painful.
- It can serve as a Pandas Encyclopedia covering all relevant Methods, Attributes and workflows for real life projects. If you have problems with any Method or workflow, you will most likely get help and find a solution in this course.
-It shows and explains the full real life Data Workflow A-Z, starting from importing messy Data, cleaning Data, merging and concatenating Data, grouping and aggregating Data, explanatory Data Analysis through to preparing and processing Data for Statistics, Machine Learning and Data Presentation.
-It explains Pandas Coding on real Data and real life Problems. No Toy Data! This is the best way to learn and understand Pandas.
-It gives you plenty of opportunities to practise and code on your own. Learning by doing. In the exercises, you can select your individual level of difficulty with optional hints and guidance / instruction.
-Pandas is a very powerful tool. But it also has Pitfalls that can lead to unintended and undiscovered errors in your Data. This course also focuses on commonly made mistakes and errors and teaches you, what you should not do.
- Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
I am looking forward to seeing you in the course!
Who this course is for:
Everyone who want to step into Data Science. Pandas is Key to everything.
Data Scientists who want to improve their Data Handling/Manipulation skills.
Everyone who want to switch Data Projects from Excel to more powerful tools (e.g. in Research/Science)
Investment/Finance Professionals who reached the limits of Excel.
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