| Course Name | Course Level | Fee | Mode of Study | Institute Type |
|---|---|---|---|---|
| BCA in Data Analytics | Undergraduate | $3000 | Online | University |
| Semester | Core Courses | Electives |
|---|---|---|
| Semester 1 | Introduction to Data Analytics, Programming Fundamentals, Discrete Mathematics | Data Visualization Techniques |
| Semester 2 | Database Management Systems, Data Structures, Linear Algebra | Statistical Methods for Data Science |
| Semester 3 | Object-Oriented Programming, Operating Systems, Probability and Statistics | Machine Learning Basics |
| Semester 4 | Algorithms Analysis, Big Data Analytics, Web Technologies | Deep Learning Fundamentals |
| Semester 5 | Data Mining, Cloud Computing, Business Intelligence | Advanced Database Management Systems |
| Semester 6 | Capstone Project, Internship | Elective: Choose 1 - IoT for Data Science, Text Analytics, Advanced Machine Learning |
| Course Module | Description |
|---|---|
| Introduction to Data Analytics | Foundational principles of data analysis, including data types, data collection, and basic data processing. |
| Programming for Data Analytics | Programming languages and tools essential for data analytics, such as Python, R, and SQL. |
| Statistics for Data Analytics | Statistical methods and techniques used in data analysis, including probability, regression, and hypothesis testing. |
| Data Visualization | Techniques for presenting data visually using tools like Tableau, Power BI, or matplotlib in Python. |
| Machine Learning | Introduction to machine learning algorithms and their application in data analytics. |
| Big Data Technologies | Overview of big data technologies such as Hadoop, Spark, and their role in handling large datasets. |
| Data Mining | Techniques and tools for discovering patterns and knowledge from large datasets. |
| Database Management | Principles of database management systems and their application in storing and retrieving data efficiently. |
| Business Intelligence | Using data analytics to inform business decision-making and strategy. |
| Capstone Project | Practical project where students apply what they have learned to a real-world data analytics problem. |
