Curriculum
- 13 Sections
- 37 Lessons
- 10 Weeks
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- Month 1-2: Foundations of Data ScienceWeek 1-2: Introduction to Data Science and Python3
- Month 3-4: Data Wrangling and Feature EngineeringWeek 1-2: Advanced Data Cleaning and Wrangling3
- Month 5: Advanced Topics in Data ScienceWeek 1-2: Advanced Machine Learning Techniques3
- Month 6: Real-world Applications and Projects and Deployment.Predictive Analytics:3
- Month 6: Real-world Applications and Projects and Deployment.Natural Language Processing (NLP):3
- Month 6: Real-world Applications and Projects and Deployment.Image Recognition:2
- Month 6: Real-world Applications and Projects and Deployment.Recommendation Systems:3
- Week 3-4: Advanced Python for Data Science3
- Week 5-6: Data Visualization and Exploration3
- Week 3-4: Feature Engineering and Dimensionality Reduction3
- Week 5-6: Model Building and Evaluation2
- Week 3-4: Natural Language Processing (NLP) and Text Mining3
- Week 5-6: Big Data and Cloud Computing3