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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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