Getting Started with Pandas
This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harris
Overview
This course includes:
- 9+ hours of on-demand video
- 5 modules
- Core level
- Direct access/chat with the instructor
- 100% self-paced online
- Many downloadable resources
- Shareable certificate of completion
Skills You Will Gain
Learning Outcomes (At the end of this program you will be able to)
- Getting Started – Installation, Jupyter, and Example
- Understanding Jupyter and editors
- Installing libraries
- Overview of functionality of Pandas
- Series objects
- Basic operations
- Aggregation methods
- Index manipulation
- String manipulation
- DataFrame objects
- Slicing data
- Cleaning data
- Boolean arrays and filtering
- Plotting
- Grouping
- Grouping with a column
- Grouping with multiple columns, functions, and dates
- Pivoting and stacking
- Time series
- Shifting data
- Window operations
- Date grouping
- Dealing with missing data
- Plotting
- Tips and Tricks
- Apply tricks
- Debugging
- Testing
- Seaborn plotting
Prerequisites
- Basic computer knowledge is assumed
- Prior programming experience with Python is strongly preferred
Who Should Attend
- New Python developers looking to quickly develop and keen understanding of the power of Pandas
- Individuals who are familiar with data science and need to understand Pandas
Curriculum
Instructors
Frequently Asked Questions
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