Course · Intermediate
Introduction to Pandas and NumPy for Data Analysis
Building upon Python fundamentals, this course covers how to optimize your code using the two most popular Python libraries: NumPy and pandas. These libraries allow you to program more efficiently and save time.
- Intermediate friendly
- 13 hrs
- 6 lessons
- 1 project
- Premium
Course overview
Develop practical skills with NumPy and pandas to explore, clean, and analyze data efficiently using real datasets and guided practice.
What's inside
6 lessons · 1 project
- 01 78 minIntroduction to NumPy
Learn how to work with data using the NumPy library.
- 02 100 minBoolean Indexing with NumPy
Learn how to select data based on values.
- 03 81 minIntroduction to Pandas
Learn how to use the pandas library to work with data.
- 04 126 minExploring Data with Pandas: Intermediate
Learn more techniques for selecting and analyzing data in pandas.
- 05 117 minData Cleaning Basics
Learn how to clean data using pandas.
- 06 155 minGuided Project: Exploring eBay Car Sales Data Project
For this project, we'll assume the role of data analysts for a used car classifieds service to explore and clean a dataset of car listings from eBay Kleinanzeigen, a section of the German eBay website.
- 07 90 minExploring Data with Pandas: Fundamentals
Learn how to use the pandas library to work with data.
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