Enroll yourself in the Data Visualization with Python course and lab to gain hands-on expertise on python data visualization. The course sharpens your data exploration skills and provides an excellent takeoff in your remarkable journey of creating interactive data visualizations with Python. You will begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You will also study different types of visualizations, learn the principles of intuitive and persuasive data visualization, and use Altair, Bokeh, and Plotly to transform your visuals into strong stories.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

You will begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You will also study different types of visualizations, learn the principles of intuitive and persuasive data visualization, and use Altair, Bokeh, and Plotly to transform your visuals into strong stories.

1
  • Introduction

  • About
    About the Course

2
  • Introduction to Visualization with Python – Basic and Customized Plotting

  • Introduction
    Handling Data with pandas DataFrame
    Plotting with pandas and seaborn
    Tweaking Plot Parameters
    Summary

3
  • Static Visualization – Global Patterns and Summary Statistics

  • Introduction
    Creating Plots that Present Global Patterns in Data
    Creating Plots That Present Summary Statistics of Your Data
    Summary

4
  • From Static to Interactive Visualization

  • Introduction
    Static versus Interactive Visualization
    Applications of Interactive Data Visualizations
    Getting Started with Interactive Data Visualizations
    Summary

5
  • Interactive Visualization of Data across Strata

  • Introduction
    Interactive Scatter Plots
    Other Interactive Plots in altair
    Summary

6
  • Interactive Visualization of Data across Time

  • Introduction
    Temporal Data
    Types of Temporal Data
    Understanding the Relation between Temporal Data and Time-Series Data
    Examples of Domains That Use Temporal Data
    Visualization of Temporal Data
    Choosing the Right Aggregation Level for Temporal Data
    Resampling in Temporal Data
    Interactive Temporal Visualization
    Summary

7
  • Interactive Visualization of Geographical Data

  • Introduction
    Choropleth Maps
    Plots on Geographical Maps
    Summary

8
  • Avoiding Common Pitfalls to Create Interactive Visualizations

  • Introduction
    Data Formatting and Interpretation
    Data Visualization
    Cheat Sheet for the Visualization Process
    Summary

Audience

This course is for analysts and others looking to improve their visualization of data with Python.

Language

English

Prerequisites

While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training.

Length: 365.0 days ( hours)

Level:

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