Data Visualization with Python

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What Will You Learn?

  • Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
  • Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
  • Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

Course Content

Module 1: Introduction to Data Visualization Tools

  • Welcome to the Course
    00:00
  • Overview of Data Visualization
    00:00
  • Types of Plots
    00:00
  • Plot Libraries
    00:00
  • Introduction to Matplotlib
    00:00
  • Basic Plotting with Matplotlib
    00:00
  • Dataset on Immigration to Canada
    00:00
  • Line Plots
    00:00

3 readings

2 quizzes

2 app items

1 plugin

Module 2: Basic and Specialized Visualization Tools

1 reading

3 quizzes

3 app items

1 plugin

Module 3: Advanced Visualizations and Geospatial Data

1 reading

3 quizzes

2 app items

1 plugin

Module 4: Creating Dashboards with Plotly and Dash

5 readings

3 quizzes

4 app items

2 plugins

Module 5: Final Project and Exam

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