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



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



Bonus: Loading data from the web 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 Importing data from the Web

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

  • 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 until this Thursday

Generic Category (English)300x250Udemy offers huge course discounts again. Until this Thursday (May 25th) 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: Shiny HTML tag 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 Shiny HTML tags

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

  • 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: Introduction to text mining 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 week’s bonus exercise set has a focus on tekst mining

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

  • 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 until this Friday

Generic Category (English)300x250Udemy offers huge course discounts again. Until this Friday (May 5th) 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?




Eleven Udemy Courses to Broaden Your Skills Beyond R

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 data science skills beyond 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.)

Python

The debate which language is “best” for data science will perhaps never come to an end. The debate seems to focus on Python vs R in particular, so Python might be logical choice if you’d like to broaden your skill set across multiple languages. Some popular Udemy courses to consider:

 

Tableau

Perhaps you’ve never heard of Tableau (see demo above) if you’re a free software enthusiast. It’s a (paid) data visualization tool with a drag-and-drop user interface that seems to work quite intuitively. You can give it a try during a 14-day free trial period while taking one of the popular Udemy courses:

 

AI / Machine Learning

You could also consider specialty courses in artificial intelligence / machine learning. For example, TensorFlow is an open source software library for machine learning developed by Google. You can learn about it in the course Data Science: Practical Deep Learning in Theano + TensorFlow, together with Theano, a Python library for numerical computation. If you’d like to learn specifically about deep learning, a fairly new area within machine learning, consider Data Science: Deep Learning in Python and Deep Learning A-Z™: Hands-On Artificial Neural Networks. Alternatively, consider random forests and boosting in: Ensemble Machine Learning in Python: Random Forest, AdaBoost. Finally, reinforcement learning is an exciting area within AI, and offered in the course Artificial Intelligence: Reinforcement Learning in Python.