Data Visualization, Fundamentals: This module is an introduction to data visualization covering basic Color Theory, basic Layout Theory and basic Visualization Selection Theory. Students will receive the fundamental knowledge to create visually appealing visuals to help communicate data and information to executives and managers for making business decisions.
Data Visualization in Python: This module covers data visualizations using Python libraries.
Data Visualization in R, Qualitative Variables: In this module, we will introduce different R functions for plotting qualitative variables.
Data Visualization in R, Quantitative Variables: In this module, we will introduce different R functions for plotting quantitative variables.
Data Visualization in R, Ggplot & Graph Formatting: In this module, we will introduce the R package ggplot, and introduce how to format a graph with different settings.
Data Visualization using Tableau: This module assumes prior knowledge of and installation of Tableau.
Data Visualization with D2.js: Development 2021
Power BI: This Module covers learning to use Microsoft PowerBI as a data visualization tool to import data from disparate sources and create visually stunning and useful visualizations to include in a dashboard for an organization.
Risk Management: Development 2021
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