Introduction to Data Science in Python

This course introduces the basics of python programming, including basic programming techniques like lambdas, reading and manipulating CSV files, and using the numpy library. This course will teach data manipulation and cleaning using the popular Python pandas data science library. It will also introduce the abstractions of Series and DataFrame, which are the central data structures for data analytics. Tutorials will be given on how to effectively use functions like groupby, merge, pivot tables, and other useful functions. Students will be able take tabular data and clean it up, manipulate it, as well as run basic inferential statistical analysis.

This course should be taken prior to any other Applied Data Science courses with Python: Applied Plotting Charting & Data Representation, Applied Machine Learning, Applied Text Mining, Applied Social Network Analysis, Applied Machine Learning, Applied Machine Learning, Applied Machine Learning, Applied Machine Learning, Applied Machine Learning, Applied Machine Learning, Applied Text Mining, Applied Text Mining.