All coursesUse Python’s specialized data science libraries. Learn how to use NumPy, Matplotlib, Pandas and Seaborn to create DataFrames and Data Visualizations.
Data
Use Python Libraries for Data Science
Medium8 hours
Interested in this free-access course?
Learn best practices and pick up the fundamental knowledge you’ll need to help you analyze your data using Python.
You’ll see how to use Python libraries such as NumPy, Pandas, Matplotlib and Seaborn to explore and analyze your data.
Python has numerous libraries, which can be used in many different contexts. When processing high volumes of data, there are certain basic rules you need to apply, which we’ll show you in this course.
Learning outcomes
- Manipulate tables using NumPy
- Create DataFrames using Pandas
- Build data visualizations using Matplotlib and Seaborn
Requirements
Prerequisites
- We recommend taking the Learn Python Basics for Data Analysis course before this one.
- We recommend using a Jupyter Notebook, as explained in the first chapter of this course.
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Table of contents
- Part 1
Manipulate Tables Using NumPy
- Part 2
Create DataFrames Using Pandas
- Part 3
Build Data Visualizations Using Matplotlib and Seaborn
