Python for Data Science Tips, Tricks, & Techniques

Description

In this course, you will :

• This course highlights twelve tips and tricks you can use to improve your Python skills.
• These techniques, which are commonly used in data management tasks, include the following: how to ingest data with CSV, JSON, and TXT files; how to explore data with libraries like Pandas; how to organise and join data with DataFrames; how to create charts and graphic representations of data with ggplot in Python; and more

Syllabus :

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

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