Module | Important Topics |
---|---|
Introduction to Data Analytics | Basics of Data Analytics, Data Types, Data Analytics Process |
Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms |
Database Management | SQL, NoSQL, Data Warehousing, Data Mining |
Statistics for Data Analytics | Descriptive Statistics, Inferential Statistics, Probability Distributions |
Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Business Intelligence | BI Concepts, Tools, Strategic Decision-Making |