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Data Science Methodology (self paced)
Introduction
Why this course (1:44)
Course Overview (6:02)
Methodology Overview (7:15)
Class Project (3:43)
Course Outline (4:45)
Instructors Bio (2:25)
Quizzes
Step 1: Describe Use Case
Define Project Concepts (12:15)
Define Project Example (4:32)
Quizzes
Step 2: Describe Data
Describe Data Concepts (7:11)
Describe Data - Tasks and Deliverables (7:07)
Describe Data - Example (5:19)
Quizzes
Step 3: Prepare Data
Prepare Data - Reduction (7:07)
Prepare Data - Feature Engineering (6:44)
Prepare Data - Synthesis (4:36)
Prepare Data - Example (4:49)
Quizzes
Step 4: Develop Model
Develop Model - Overview (7:28)
Develop Model - Descriptive Analytics (7:21)
Develop Model - Predictive Analytics (7:03)
Develop Model - Prescriptive Analytics (6:59)
Quizzes
Step 5: Evaluate Model
Evaluate Model - Overview (6:46)
Evaluate Model - Regression (5:43)
Evaluate Model - Classification (5:53)
Quizzes
Step 6: Deploy Model
Deploy Model - Roles (6:36)
Deploy Model - Model Management (3:48)
Quizzes
Step 7: Monitor Model
Optimize Model (5:24)
Quizzes
Summary
Final Review (7:18)
Future Learnings (4:07)
Quizzes
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Instructors Bio
PPT-DSM-Instructors.pdf
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PPT-DSM-Instructors.pdf
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