Python for Data Science Tips, Tricks, & Techniques

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Free Online Course: Python for Data Science Tips, Tricks, & Techniques provided by LinkedIn Learning is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Python for Data Science Tips, Tricks, & Techniques is taught by Ben Sullins.

via LinkedIn Learning

Less than 1 hour of material

Self Paced

Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more.

Syllabus

Introduction
- Welcome
- What you should know
- Using the exercise files
1. Ingesting Data
- Work with JSON data
- Work with CSV files
- Work with Parquet files
- Read data from GitHub API
2. Exploring Data
- Read data with Pandas
- Inspect DataFrames with Pandas
- Aggregate data with Pandas
- Export data with Pandas
3. Visualizing Data
- Basic charts in ggplot
- Small multiples with ggplot
- Styling plots in ggplot
- Finish your plots
Conclusion
- Next steps

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Language

English
Certificate
Certificate Available
Date of Start
09th August, 2017
Price
Free Trial Available
Provider
LinkedIn Learning
Taught By

Ben Sullins
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