Python for Data Science Tips, Tricks, & Techniques
Offered By: LinkedIn Learning
Course Description
Overview
Explore a series of tips and tricks that you can put into practice to improve your skills in Python.
Syllabus
Introduction
- Discover new tips and tricks for Python
- What you should know
- Using the exercise files
- Set up on Windows
- Set up on Mac
- Working with JSON data
- Working with CSV files
- Working with Parquet files
- Reading data from GitHub API
- Reading data with pandas
- Inspecting DataFrames with pandas
- Aggregating data with pandas
- Exporting data with pandas
- Basic charts in Plotly
- Small multiples with Plotly
- Using color in Plotly
- Finishing your data visualizations in Plotly
- Next steps and additional resources
Taught by
Ben Sullins
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