Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.
Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.
Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.
Level up your Python data science skills creating visualizations using matplotlib and manipulating data frames with Pandas.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.