Parallel Programming with Dask in Python
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
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Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Learn efficient techniques in pandas to optimize your Python code.
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.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
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.
Use C++ to dramatically boost the performance of your R code.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.