Course Module | Key Topics |
---|---|
Introduction to Data Analytics | Basics of Data Analysis, Data Types, Data Analytics Process |
Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms |
Database Management | SQL, NoSQL, Data Warehousing, Data Modeling |
Data Mining and Exploration | Data Preprocessing, Mining Techniques, Exploratory Data Analysis |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Probability |
Machine Learning | Supervised Learning, Unsupervised Learning, Neural Networks |
Big Data Technologies | Hadoop, Spark, Big Data Analytics Tools |
Data Visualization | Tableau, Power BI, Data Presentation Techniques |
Business Intelligence | BI Concepts, Tools, Decision Making with BI |
Capstone Project | Real-world Data Analytics Project, Project Management |