Python Data Analysis
With Michele Vallisneri
Liked by 9,678 users
Duration: 2h 30m
Skill level: Intermediate
Released: 3/11/2020
Course details
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.
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.
Skills you’ll gain
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Meet the instructor
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 7 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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