Curriculum
- 1 Section
- 8 Lessons
- 5 Days
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- Topics8
- 1.1Lesson 1: Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Democratize Data Topic C: Formulate a Data Science Problem
- 1.2Lesson 2: Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data
- 1.3Lesson 3: Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data
- 1.4Lesson 4: Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Identify Transformer-Based Deep Learning Concepts Topic C: Test a Hypothesis
- 1.5Lesson 5: Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models
- 1.6Lesson 6: Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models
- 1.7Lesson 7: Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models
- 1.8Lesson 8: Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines
Lesson 2: Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data
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Lesson 4: Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Identify Transformer-Based Deep Learning Concepts Topic C: Test a Hypothesis
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