Join Ben Sullins for an in-depth discussion in this video What you should know, part of Python for Data Science Tips, Tricks, & Techniques.
- [Instructor] Before you get started in this course, it would be helpful if you were familiar with Jupyter Notebooks. Also, we'll be doing everything in Python, so it'd be helpful if you had a basic understanding of how Python code works and how it's organized.
Author
Ben Sullins
Released
8/9/2017- Working with flat files, including Parquet
- Reading data using APIs or libraries
- Inspecting and aggregating data with Pandas
- Exporting data with Pandas
- Creating charts using ggplot
- Styling plots using ggplot
- Finishing data visualizations
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome55s
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1. Ingesting Data
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Work with JSON data4m 57s
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Work with CSV files3m 58s
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Work with Parquet files5m 11s
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Read data from GitHub API4m 51s
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2. Exploring Data
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Read data with Pandas5m 42s
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Aggregate data with Pandas2m 58s
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Export data with Pandas2m 16s
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3. Visualizing Data
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Basic charts in ggplot4m 8s
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Styling plots in ggplot2m 55s
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Finish your plots2m 22s
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Conclusion
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Next steps48s
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Video: What you should know