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LinkedIn Learning

Basics of Data Visualization Analysis

via LinkedIn Learning

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Overview

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Learn the fundamentals of data visualization, including how to use common charts and graphs across a variety of different types of datasets.

Syllabus

Introduction
  • The value of visual analysis
1. Basics of Analysis
  • Types of data
  • Basic graph elements
  • Univariate, bivariate, and multivariate analysis
2. Distributional Analysis with Continuous Data
  • Histograms
  • Density plots
  • Strip plots
  • Box plots
3. Distributional Analysis with Discrete Data
  • Bar graphs and dot plots
  • Pie charts
  • Radar plots
4. Visualizing Multiple Distributions
  • Multiple histogram and density plots
  • Multiple box and violin plots
  • Multiple bar graphs and dot plots
  • Multiple pie and radar plots
5. Visualizing Relationships
  • Scatter plots
  • Lines of best fit
  • Line plots
  • Table plots
6. Visualizing Multi-Dimensional Relationships
  • Matrix scatter and trellis plots
  • Bubble plots
  • Contour plots
Conclusion
  • Time to visualize

Taught by

Madecraft and Franz Buscha

Reviews

4.6 rating at LinkedIn Learning based on 326 ratings

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