Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | University |
Year 1 | Year 2 | Year 3 |
---|---|---|
Introduction to Programming Mathematics for Data Science Introduction to Data Analytics Database Management Systems Principles of Management | Advanced Programming Statistics for Data Science Data Visualization Machine Learning Fundamentals Big Data Technologies | Deep Learning for Analytics Cloud Computing for Data Analytics Business Intelligence Capstone Project Internship |
Module | Important Topics |
---|---|
Introduction to Data Analytics | Overview of Data Analytics, Data Types, Data Analytics Process |
Programming for Data Analytics | Python/R Programming Basics, Data Structures, Control Structures |
Database Management | SQL Basics, NoSQL Databases, Data Warehousing |
Data Preprocessing | Data Cleaning, Data Transformation, Data Reduction |
Statistical Methods for Data Analysis | Descriptive Statistics, Inferential Statistics, Hypothesis Testing |
Data Visualization | Principles of Data Visualization, Tools for Data Visualization, Dashboard Design |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Analytics | Big Data Concepts, Hadoop Ecosystem, Spark |