Data Science 13 Sections37 Lessons10 Weeks
Curriculum
- 13 Sections
- 37 Lessons
- 10 Weeks
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- Month 1-2: Foundations of Data Science3 ItemsWeek 1-2: Introduction to Data Science and Python
- Month 3-4: Data Wrangling and Feature Engineering3 ItemsWeek 1-2: Advanced Data Cleaning and Wrangling
- Month 5: Advanced Topics in Data Science3 ItemsWeek 1-2: Advanced Machine Learning Techniques
- Month 6: Real-world Applications and Projects and Deployment.3 ItemsPredictive Analytics:
- Month 6: Real-world Applications and Projects and Deployment.3 ItemsNatural Language Processing (NLP):
- Month 6: Real-world Applications and Projects and Deployment.2 ItemsImage Recognition:
- Month 6: Real-world Applications and Projects and Deployment.3 ItemsRecommendation Systems:
- Week 3-4: Advanced Python for Data Science3 Items
- Week 5-6: Data Visualization and Exploration3 Items
- Week 3-4: Feature Engineering and Dimensionality Reduction3 Items
- Week 5-6: Model Building and Evaluation2 Items
- Week 3-4: Natural Language Processing (NLP) and Text Mining3 Items
- Week 5-6: Big Data and Cloud Computing3 Items