Subject Syllabus
AD-703 (A) - Data Visualization
AIDS · Semester 7
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
Pixel-Oriented Visualization Techniques- Geometric Projection Visualization Techniques- Icon-Based Visualization Techniques- Hierarchical Visualization TechniquesVisualizing Complex Data and Relations.Visualization TechniquesScalar and point techniquesColor mapsContouring Height Plots - Vector visualization techniquesVector propertiesVector GlyphsVector Color Coding Stream Objects.Exploratory data analysis (EDA) Techniques
Basic and advanced charts and graphs: bar charts, line charts, scatter plots, histograms, and heat maps.Geospatial visualization: maps, choropleth maps, geospatial heat mapsNetwork visualization: node-link diagrams, force-directed graphsInteractive visualization: interactivity and user engagement techniquesIntroduction to programming libraries for data visualization: MatplotlibSeabornPlotly.Introduction to data visualization tools- TableauVisualization using R.
Multivariate visualization techniques: parallel coordinates, scatter plot matricesDimensionality reduction techniques: PCA (Principal Component Analysis), t-SNE (t- Distributed Stochastic Neighbour Embedding)Clustering and classification visualization: dendrograms, decision trees, confusion matricesVisualizing high-dimensional data: glyph- based visualization, parallel coordinates, dimension stacking.