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AD-703 (A) · Data Visualization/Official Syllabus

Data Visualization (AD-703 (A)) - Official Syllabus

1
Unit 1

Introduction to Data Visualization

  • Overview of data visualization, Definition
  • Significance in AI and Data Science
  • Principal of Data Visualization, Methodology
  • Applications
  • Data pre-processing for visualization: Extraction, Cleaning, Transformation, Aggregation
  • Data Integration
  • Data Reduction
2
Unit 2

Data Visualization Techniques

  • Pixel-Oriented Visualization Techniques
  • Geometric Projection Visualization Techniques
  • Icon-Based Visualization Techniques
  • Hierarchical Visualization Techniques
  • Visualizing Complex Data and Relations
  • Scalar and point techniques, Color maps
  • Contouring Height Plots
  • Vector visualization techniques, Vector properties, Vector Glyphs
  • Vector Color Coding Stream Objects
  • Exploratory data analysis (EDA) Techniques
3
Unit 3

Data Visualization Tools

  • Basic and advanced charts and graphs: bar charts, line charts, scatter plots, histograms, and heat maps
  • Geospatial visualization: maps, choropleth maps, geospatial heat maps
  • Network visualization: node-link diagrams, force-directed graphs
  • Interactive visualization: interactivity and user engagement techniques
  • Introduction to programming libraries for data visualization: Matplotlib, Seaborn, Plotly
  • Introduction to data visualization tools- Tableau
  • Visualization using R
4
Unit 4

Visualizing Multidimensional Data

  • Multivariate visualization techniques: parallel coordinates, scatter plot matrices
  • PCA (Principal Component Analysis)
  • t-SNE (t-Distributed Stochastic Neighbour Embedding)
  • Clustering and classification visualization: dendrograms, decision trees, confusion matrices
  • Visualizing high-dimensional data: glyph-based visualization, parallel coordinates, dimension stacking
5
Unit 5

Advancements in Data Visualization

  • Time-Series data visualization
  • Big data visualization
  • Text data visualization
  • Multivariate data visualization
  • Storytelling with data
  • Dashboard creation
  • Ethical considerations in data visualization
  • Case Studies for Finance-marketing, and insurance healthcare

Reference Books

  • Visualization Analysis and Design — Tamara Munzer
  • Data Visualization Principles and Practice — Alexandru Telea
  • Data Visualization: Storytelling Using Data — Sharada Sringeswara
  • Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures — Claus O. Wilke
  • Reimagining Data Visualization Using Python — Seema Acharya
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