Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
---|---|---|---|---|---|
Introduction to Data Analytics | Programming in Python | Database Management Systems | Data Visualization | Machine Learning | Big Data Analytics |
Mathematics for Data Science | Statistics for Data Science | Web Technologies | Advanced Python for Data Analytics | Deep Learning | Capstone Project |
Principles of Management | Operating Systems | Object-Oriented Programming | Cloud Computing for Data Analytics | Natural Language Processing | Business Intelligence |
Course Code | Course Name | Key Topics |
---|---|---|
BCA-DA101 | Introduction to Data Analytics | Basics of Data Analytics, Data Types, Data Analytics Process |
BCA-DA102 | Statistics for Data Science | Descriptive Statistics, Inferential Statistics, Probability Distributions |
BCA-DA103 | Programming for Data Analytics | Python/R Programming, Data Structures, Algorithms for Data Analysis |
BCA-DA104 | Data Management and Manipulation | SQL, NoSQL, Data Cleaning, Data Transformation |
BCA-DA105 | Data Visualization | Principles of Visualization, Tools (Tableau, Power BI), Dashboard Design |
BCA-DA106 | Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
BCA-DA107 | Big Data Analytics | Hadoop, Spark, Big Data Processing Frameworks |
BCA-DA108 | Business Intelligence | BI Concepts, Tools, Strategic Decision-Making |