Data Analytics & Visualization

Data Analytics & Visualization Track : –

This course introduces the basic goals and techniques in data science and analytics process with some theoretical foundations which include useful statistical concepts and data visualization to get insight about from the dataset. The course provides basic principles on important steps of the process which include data collecting, curating, analyzing, building predictive models and reporting and presenting results to audiences of all levels. R programming or Python Programming language and statistical analysis techniques are introduced based on examples such as from marketing, business intelligence and decision support. Finally, you get introduced to state of the art Business Intelligence Data Visualization tools like PowerBI and Tableau and how to use it in storytelling.

Module 1: Introduction to Data Science & Analytics

Module 2: The Stages of a Data Science Project

Module 3: Programming for Data Science (R / Python)

Module 4: Data Cleansing and Manipulation

Module 5: Exploring and Visualizing Data

Module 6: Data Visualization using Tableau Desktop

Module 7: Data Visualization with PowerBI Desktop