Data Science Methodology IBM Full Course, Data Science Techniques
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Course Contents
0:00 - Course Introduction
2:46 - Data Science Methodology Overview
6:41 - Business Understanding
11:46 - Analytic Approach
15:13 - Data Requirements
18:44 - Data Collection
21:43 - Data Understanding
25:03 - Data Preparation: Concepts
28:08 - Data Preparation: Case Study
32:26 - Modeling: Concept
35:24 - Modeling: Case Study
39:24 - Evaluation
43:25 - Deployment
47:00 - Feedback
50:12 - Storytelling in Data Analysis
53:17 - Course Summary
56:46 - Introduction to CRISP – DM
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