Discover how to work with the pandas library and tools for data analysis and data structuring.
- [Jonathan] Welcome. I'm Jonathan Fernandes and I'm really excited about this course as it includes two things I enjoy, Python's Pandas and the Olympics. So Pandas is an open source library that provides easy to use data analysis tools for the Python programming language. So the purpose of this course is to be hands on and very practical. So each section builds the knowledge that you would have picked up in earlier parts of the course. So you learn how to manipulate and query data more effectively and the tools that you learn in this course will help you become a better data scientist.
So we'll cover topics such as Series and DataFrames, plotting, indexing, Groupby, stack and unstack, and some data visualizations. Remember, if you want to get the most out of this course, work through the challenge exercises. The data set we'll be using are the medal winners for the Summer Olympics from 1896 to 2008, and I can't wait to get started. See you at the Olympics.
- Working with plots
- Boolean indexing
- String handling
- Grouping data
- Creating your own colormaps
Skill Level Intermediate
1. Technical Setup
2. Series and DataFrames
3. Data Input and Validation
4. Basic Analysis
5. Basic Plotting
9. Data Visualizations
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