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LinkedIn Learning

Python for Data Science Tips, Tricks, & Techniques

via LinkedIn Learning

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Overview

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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
1. Ingesting Data
  • Working with JSON data
  • Working with CSV files
  • Working with Parquet files
  • Reading data from GitHub API
2. Exploring Data
  • Reading data with pandas
  • Inspecting DataFrames with pandas
  • Aggregating data with pandas
  • Exporting data with pandas
3. Visualizing Data
  • Basic charts in Plotly
  • Small multiples with Plotly
  • Using color in Plotly
  • Finishing your data visualizations in Plotly
Conclusion
  • Next steps and additional resources

Taught by

Ben Sullins

Reviews

4.6 rating at LinkedIn Learning based on 70 ratings

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