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Introduction to Data Science in Python

This course will introduce the learner 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 will introduce 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 groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

Created by University of Michigan


What you’ll learn

From this learning opportunity you may acquire the compentencies sought by organizations today. The most in demand technique within the educational resource that is often included by companies is Data Analysis. The most relevant tool is Python. You will also learn about Programming Skills, a trait often included in job descriptions.

Who will benefit?

Mapping content from this educational resource with nearly 10,000 data-related job descriptions, we find that those interested in Data Scientist roles would benefit the most.