Data science is transforming the way that government and industry leaders look at both specific problems and the world at large. Curious about how data analysis actually works in practice? In this course, instructor Michele Vallisneri shows you how, explaining what it takes to get started with data science using Python.
Michele demonstrates how to set up your analysis environment and provides a refresher on the basics of working with data structures in Python.
Then, he jumps into the big stuff: the power of arrays, indexing, and tables in NumPy and pandas—two popular third-party packages designed specifically for data analysis. He also walks through two sample big-data projects: using NumPy to identify and visualize weather patterns and using pandas to analyze the popularity of baby names over the last century. Challenges issued along the way help you practice what you’ve learned.
Note: This version of the course was updated to reflect recent changes in Python 3, NumPy, and pandas.
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
- Showcase on your LinkedIn profile under “Licenses and Certificate” section
- Download or print out as PDF to share with others
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