Python for R Users
This course is for R users who want to get up to speed with Python!
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
This course is for R users who want to get up to speed with Python!
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn to easily summarize and manipulate lists using the purrr package.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Learn defensive programming in R to make your code more robust.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Use C++ to dramatically boost the performance of your R code.