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Course Outline
Introduction
Pandas Overview
- What is Pandas?
- Pandas features
Preparing the Development Environment
- Installing and configuring Pandas
Dataframes
- Loading a dataset
- Preparing data
- Using the Pandas API
- Working with calculations
Data Structures
- Working with series
- Using regex
- Binning data
- Normalizing data
Data Visualization
- Creating graphs with Matplotlib
- Using Seaborn
Data Assembly
- Concatenating data
- Merging data
Predictive Analysis
- Finding and replacing empty values
- Using index values
- Adding time series data
- Working with frequencies
Summary and Conclusion
Requirements
- An understanding of data analysis
- Python programming experience
Audience
- Data Scientists
14 Hours
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