Statistical Data Visualization in Python

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In this Guided Project, you will:

Learn statistical data visualization techniques in Python.

Create and visualize statistical plots and charts using Seaborn, Plotly, and Matplotlib.

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this two-hour long project-based course, you will learn Statistical Data Visualization techniques in Python. By the end of this project, you will have applied basic statistics and created statistical plots and charts using Seaborn, Plotly, and Matplotlib. This class is for learners who want to use Python for Statistical Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical statistical data visualization project course. Also, this project provides learners with basic knowledge about statistical visualization techniques and libraries in Python and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios.

Skills you will develop

Python ProgrammingData Visualization (DataViz)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand the importance of Statistical Data Visualization

  2. Create Statistical Plots and Charts with Seaborn

  3. Create Statistical Plots and Charts with Plotly

  4. Create Statistical Plots and Charts with Matplotlib

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.