1. Wrap-up
Congratulations!
You can now analyze data using Python! Since R and Python are the most prominent languages used in data science, it's an extremely useful skill to be able to understand how each language works.
2. Review of topics
In this course you utilized your R knowledge to quickly learn the basics of Python. In the first two chapters, we covered the basic data types, control-flow, functions and methods in Python. In chapter 3 you learned about DataFrames and in chapter 4 you used the pandas, seaborn, and matplotlib libraries to draw some nice plots! Finally, in the last chapter you applied your python skills to analyze the flights data set.
3. R vs Python
I don't think one language is better than the other, and this course simply broadens your toolkit as a data scientist.
4. Let's practice!
Good luck analyzing data with Python and R!