Module | Important Topics |
---|---|
1. Introduction to Data Science | Basics of Data Science, Importance, and Scope |
2. Programming for Data Science | Python/R Programming, Data Structures |
3. Statistics for Data Science | Descriptive Statistics, Inferential Statistics |
4. Data Management | SQL, NoSQL, Data Warehousing |
5. Data Analysis | Data Preprocessing, Exploratory Data Analysis |
6. Machine Learning | Supervised Learning, Unsupervised Learning |
7. Deep Learning | Neural Networks, CNN, RNN |
8. Big Data Technologies | Hadoop, Spark |
9. Data Visualization | Tableau, Power BI |
10. Capstone Project | Real-world Data Science Project |