Course Content
Module 1 – Introduction to Data Science and Motivation
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Welcome to Data Science A–Z
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Bonus Learning Pathways
Module 2 – Data Visualization Fundamentals
Module 3 – Getting Started with Tableau
Module 4 – Data Mining with Tableau
Module 5 – Advanced Data Mining Techniques in Tableau
Module 6 – Statistical Modeling Foundations
Module 7 – Statistics Refresher for Data Science
Module 8 – Simple Linear Regression
Module 9 – Multiple Linear Regression
Module 10 – Logistic Regression Modeling
Module 11 – Building Geodemographic Segmentation Models
Module 12 – Evaluating Model Performance
Module 13 – Extracting Insights from Models
Module 14 – Model Maintenance and Improvement
Module 15 – Data Preparation and ETL Fundamentals
Module 16 – Business Intelligence Tools for Data Science
Module 17 – ETL Phase 1: Data Wrangling Before Loading
Module 18 – ETL Phase 2: Uploading Data with SSIS
Module 19 – Error Handling in ETL Phases 1 and 2
Module 20 – SQL Programming for Data Science
Module 21 – ETL Phase 3: Data Wrangling After Loading
Module 23 – Communication Skills for Data Scientists
Module 24 – Collaboration and Working with People
Module 25 – Presentation Skills for Data Scientists
Module 26 – Homework Solutions and Walkthroughs
Module 27 – Bonus Lectures and Extra Learning Resources
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