Visual Analytics for Discovery: Find the Insights Others Miss

Level: Intermediate | Tags: Exploratory analysis · Visualisation · Patterns

Course Description

Visual analytics is more than just reporting—it’s a tool for active investigation. This intermediate course teaches Exploratory Data Analysis (EDA). Learn how to use interactive visual tools to slice data from multiple angles, uncover hidden patterns, spot outliers, and ask better questions before you ever build a formal report.

Learning Outcomes

  • Conduct thorough Exploratory Data Analysis (EDA) to understand the shape and spread of new datasets.
  • Utilize advanced chart types (scatter plots, heat maps, box plots) to identify correlations and anomalies.
  • Differentiate between correlation and causation when presenting visual findings.

Course Outline

  • Module 1: Introduction to Exploratory Data Analysis (EDA)
  • Module 2: Visualizing Distributions and Outliers: Box Plots and Histograms
  • Module 3: Spotting Relationships: Scatter Plots, Trend Lines, and Heat Maps
  • Module 4: The Investigative Mindset: Iterative Questioning Through Dashboards

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