Principles of Beautiful Data Visualization (2021)

Fundamental Principles, Cool Graphs & Charts in Python

This course will enhance a student’s understanding of charts, plots and graphs and bring it to a whole new level. Whether a student already knows something about Data Visualizations or not, they will definitely take something away after completing this course.

What you’ll learn

  • Understand the core concepts of Data Visualization.
  • Level-up Data Viz skills regardless of the programming language or visualization tool you use.
  • What makes Data Visualization “Beautiful”?.
  • Visualizing quantity of variables, their distributions and relationships.
  • Appropriate charts and plots to use for appropriate data.
  • Choosing colors, scales, fonts and symbols for elegant Data Visualization.
  • Advanced Data Visualization with Python using Plotly, Seaborn and Matplotlib.

Course Content

  • Principles of Data Visualization –> 4 lectures • 9min.
  • Introduction to Data Visualization in Python –> 3 lectures • 10min.
  • Position and Color Scales –> 4 lectures • 12min.
  • Visualizing Amounts –> 5 lectures • 33min.
  • Visualizing Distributions –> 4 lectures • 26min.
  • Visualizing Proportions –> 5 lectures • 29min.
  • Visualizing Associations –> 5 lectures • 19min.
  • Visualizing Time-series Data –> 5 lectures • 17min.

Principles of Beautiful Data Visualization (2021)

Requirements

  • Beginner Level Python Programming Skills.

This course will enhance a student’s understanding of charts, plots and graphs and bring it to a whole new level. Whether a student already knows something about Data Visualizations or not, they will definitely take something away after completing this course.

Although this course uses the Python Programming Language to create data visualizations, any other tool or programming language could be used to apply the principles that have been taught in this course.

– Achieve the main goal of data visualization which is to communicate data or information clearly and effectively to readers.

– Learn various do’s and don’ts of data visualizations, color scales and plot animation regardless of programming language or visualization tool.

– Visualize amounts, distributions, proportions, associations and time-series data.

– Learn how to visualize data like a pro.

– Make use of 3 different Python plotting libraries including Plotly, Seaborn, Matplotlib.

– Make use of your learnings to create beautiful data visualizations that could be used in print media, reports and social media.

– Master visual storytelling to communicate a message supported by the data.

– Identify trends and make data engaging and easily digestible

– Evoke an emotional response from whoever takes a look at your data visualized through various types of charts and plots.