Udemy Discounts: All Courses $10 for New Students (ends tomorrow)

Generic Category (English)300x250Udemy offers huge course discounts again for new students. Today and tomorrow you can sign up for any course for just $10 if you’re a new user of Udemy. This is a huge discount, given that the average Udemy R course is priced at ~$60, and prices vary from $20 to $200 (besides some free courses).

For a full overview of all Udemy R courses, go to the Udemy selection in R Course Finder, or go to Udemy directly to search through all their courses.

Courses with the steepest discount (regular price $200, now for $10 for new users):

If you’d sign up for these five courses now, you’d have lifetime access and save $900! Tens of thousands of students have enrolled in these courses already (Machine Learning A-Z has close to 30,000 students enrolled), and ratings are 4.5 / 5 or higher.

Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.




Udemy Discounts: All Courses $10 (ends today)

Generic Category (English)300x250Udemy offers huge course discounts again. Today you can sign up for any course for just $10. This is a huge discount, given that the average Udemy R course is priced at ~$60, and prices vary from $20 to $200 (besides some free courses).

For a full overview of all Udemy R courses, go to the Udemy selection in R Course Finder, or go to Udemy directly to search through all their courses.

Courses with the steepest discount (regular price $200, now for $10):

If you’d sign up for these five courses now, you’d have lifetime access and save $900! Tens of thousands of students have enrolled in these courses already (Machine Learning A-Z has close to 30,000 students enrolled), and ratings are 4.5 / 5 or higher.

Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.

Did you take a Udemy R course already? Please tell us about your experiences, and add a comment below! What did you learn? How did it help you to advance your career or studies? Would you recommend it to others?




Bonus: Introduction in working with categorical variables

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up (for free!), and receive further details by email how to get access to the bonus exercises (and solutions, of course).

This weeks bonus exercise set has a focus on working with categorical variables

As a subscriber, you also have access to all previous bonus sets:

  • Working with functions
  • statistical graphics
  • descriptive statistics
  • loading data from the web
  • Shiny HTML tags
  • Introduction to Text mining
  • logistic Regression
  • Character Functions
  • Character functions intermediate
  • Tidy the data Up!
  • ROC curves
  • Working with tm package and wordclouds
  • Working with and visualizing a confidence interval
  • Evaluating a linear time series model
  • Peparing data for time series model
  • Rebuilding a Figure
  • Simplifying For loops
  • Students achievement research project



Bonus: working with custom functions in R

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up (for free!), and receive further details by email how to get access to the bonus exercises (and solutions, of course).

This weeks bonus exercise set has a focus on writing your own custom functions.

As a subscriber, you also have access to all previous bonus sets:

  • statistical graphics
  • descriptive statistics
  • loading data from the web
  • Shiny HTML tags
  • Introduction to Text mining
  • logistic Regression
  • Character Functions
  • Character functions intermediate
  • Tidy the data Up!
  • ROC curves
  • Working with tm package and wordclouds
  • Working with and visualizing a confidence interval
  • Evaluating a linear time series model
  • Peparing data for time series model
  • Rebuilding a Figure
  • Simplifying For loops
  • Students achievement research project



Four Popular Udemy Business/Entrepreneurship Courses

Did you know Udemy offers many more courses than “just” their 63 R courses? Here are some ideas for those who seek to broaden their skills beyond data science and R. And please note: Udemy courses are on sale again for just $10 per course until this Friday, through the links in this post or our R Course Finder directory! (Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.)

1. The Complete Digital Marketing Course 2017 – 12 Courses in 1

This course covers a lot of interesting material for those interested in offering products or services through the world wide web. You’ll learn about marketing basics, wordpress, copywriting, how to reach your audience through different channels and platforms (email, Youtube, Facebook, Twitter, Quora), Search Engine Optimization (SEO), Google Analytics, Adwords etc. It seems a massive amount of content (175 video lectures of 19.5 hrs in total). The course has been taken by more than 68,000 students so far, and has received an average rating of 4.5 out of 5. It’s taught by Rob Percival and Daragh Walsh.

2. An Entire MBA in 1 Course:Award Winning Business School Prof

This course targets anyone interested to learn about business and claims to be the “#1 most purchased business course on Udemy”, with over 108,000 students enrolled in 196 countries. You will learn about: how to launch a company, business presentations, venture capital, valuation, financial analysis, cash flow, and much more. The course is taught by Chris Haroun, who holds an MBA from Columbia University and worked at Goldman Sachs, Accenture, Citadel, and others. Check out its Udemy page for a list of testimonials and further details on course content.

3. Guy Kawasaki’s The Art of Evangelism

This course will explain how to use a technique called evangelism to change the hearts, minds, and actions of your customers, colleagues, and employees. Evangelism is an innovative approach to sales, marketing, and management. It means mobilizing your customers and staff into becoming as passionate about a cause as you are. The course is taught by Guy Kawasaki, who is the chief evangelist of Canva, an online graphics design service that has signed up over 10 million customers in 179 countries in less than four years.

4. The Complete Presentation and Public Speaking/Speech Course

Another course by Chris Haroun on how to give a great speech for business & personal presentations. It covers topics like audience, purpose, content, slides, confidence delivery, questions, preparation, appearance, etc, in 200+ lectures and 16 hrs of on-demand video.




Bonus: working with vapply()

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up (for free!), and receive further details by email how to get access to the bonus exercises (and solutions, of course).

This weeks bonus exercise set has a focus on how to work with vapply()

As a subscriber, you also have access to all previous bonus sets:

  • statistical graphics
  • descriptive statistics
  • loading data from the web
  • Shiny HTML tags
  • Introduction to Text mining
  • logistic Regression
  • Character Functions
  • Character functions intermediate
  • Tidy the data Up!
  • ROC curves
  • Working with tm package and wordclouds
  • Working with and visualizing a confidence interval
  • Evaluating a linear time series model
  • Peparing data for time series model
  • Rebuilding a Figure
  • Simplifying For loops
  • Students achievement research project



Udemy Discounts: All Courses $10 (today and tomorrow)

Generic Category (English)300x250Udemy offers huge course discounts again. Until tomorrow (Wednesday) you can sign up for any course for just $10. This is a huge discount, given that the average Udemy R course is priced at ~$60, and prices vary from $20 to $200 (besides some free courses).

For a full overview of all Udemy R courses, go to the Udemy selection in R Course Finder, or go to Udemy directly to search through all their courses.

Courses with the steepest discount (regular price $200, now for $10):

If you’d sign up for these five courses now, you’d have lifetime access and save $900! Tens of thousands of students have enrolled in these courses already (Machine Learning A-Z has close to 30,000 students enrolled), and ratings are 4.5 / 5 or higher.

Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.

Did you take a Udemy R course already? Please tell us about your experiences, and add a comment below! What did you learn? How did it help you to advance your career or studies? Would you recommend it to others?




Bonus: Statistical graphics with R Exercises

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up (for free!), and receive further details by email how to get access to the bonus exercises (and solutions, of course).

This weeks bonus exercise set has a focus on statistical graphics

As a subscriber, you also have access to all previous bonus sets:

  • descriptive statistics
  • loading data from the web
  • Shiny HTML tags
  • Introduction to Text mining
  • logistic Regression
  • Character Functions
  • Character functions intermediate
  • Tidy the data Up!
  • ROC curves
  • Working with tm package and wordclouds
  • Working with and visualizing a confidence interval
  • Evaluating a linear time series model
  • Peparing data for time series model
  • Rebuilding a Figure
  • Simplifying For loops
  • Students achievement research project



Udemy Discounts: All Courses $10 (ends today)

Generic Category (English)300x250Udemy offers huge course discounts again. Today you can sign up for any course for just $10. This is a huge discount, given that the average Udemy R course is priced at ~$60, and prices vary from $20 to $200 (besides some free courses).

For a full overview of all Udemy R courses, go to the Udemy selection in R Course Finder, or go to Udemy directly to search through all their courses.

Courses with the steepest discount (regular price $200, now for $10):

If you’d sign up for these five courses now, you’d have lifetime access and save $900! Tens of thousands of students have enrolled in these courses already (Machine Learning A-Z has close to 30,000 students enrolled), and ratings are 4.5 / 5 or higher.

Disclaimer: If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.

Did you take a Udemy R course already? Please tell us about your experiences, and add a comment below! What did you learn? How did it help you to advance your career or studies? Would you recommend it to others?




Bonus: Descriptive statistics with R Exercises

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up (for free!), and receive further details by email how to get access to the bonus exercises (and solutions, of course).

This weeks bonus exercise set has a focus on descriptive statistics

As a subscriber, you also have access to all previous bonus sets:

  • loading data from the web
  • Shiny HTML tags
  • Introduction to Text mining
  • logistic Regression
  • Character Functions
  • Character functions intermediate
  • Tidy the data Up!
  • ROC curves
  • Working with tm package and wordclouds
  • Working with and visualizing a confidence interval
  • Evaluating a linear time series model
  • Peparing data for time series model
  • Rebuilding a Figure
  • Simplifying For loops
  • Students achievement research project