Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.
Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.
Level up your Python data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas.
Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.
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.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn how to pull character strings apart, put them back together and use the stringr package.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.