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.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn how to make predictions about the future using time series forecasting in R.
Learn to visualize multivariate datasets using lattice plotting.