COURSE OBJECTIVES
Today's fast world requires the data to be presented in an abstract and appealing way to attract the audience. Most of the websites like social media, eCommerce use infographics and dashboards to engages their visitors. The use of different data visualization techniques make all these requirements possible through this four weeks Data Visualization Course. This course predominantly uses Python libraries for creating charts, interactive figures and animations.
COURSE DURATION: 4 Weeks
COURSE OUTCOMES:
By the end of this course, the learners will be able to
- Use python libraries for data visualization
- Conduct exploratory data analysis using Python
- Interpret results of exploratory data analysis
- Paraphrase the results for documentation
COURSE CONTENTS:
Module 1 Basic Plotting
Line plot - Bar plot - Pie Chart - Scatter Plot - Histogram - Stacked Bar Charts - Sub Plots - Matplotlib, Searborn, Plotly - Seaborn Styles
Module 2 Applied Visualizations
Box plot - Density Plot - Area Chart - Heat map - Tree map - Graph Networks
Module 3 Interactive Visualizations and Animations
Dynamic charts - Dynamic maps - Animation types - 2D, 3D, Motion Animation - Animation Principles - Altair Package - Statistical Visualizations
Module 4 Principles of Information Visualization
Visual Perception and Cognition - Gestalt's Principles - Tufte's Principles - Applications of Principles of Information Visualization - Dashboard Design
