This course introduces learners to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the NumPy library. The course introduces data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as group-by, merge, and pivot tables effectively. Along with that you can see tabular data, clean it, manipulate it, and run basic inferential statistical analyses.