| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 3 years | Undergraduate | INR 1,50,000 per year | Full-time | Private |
| Topic | Description |
|---|---|
| Introduction to Data Analytics | Overview of data analytics, its importance, and applications. |
| Programming for Data Science | Programming languages like Python or R for data manipulation and analysis. |
| Database Management Systems | Understanding of SQL and NoSQL databases for storing and retrieving data efficiently. |
| Data Warehousing and Data Mining | Techniques for data warehousing and mining to discover patterns and knowledge from large datasets. |
| Statistics for Data Science | Statistical methods and probability to interpret data and make decisions. |
| Machine Learning | Algorithms and models for predictive analysis and pattern recognition. |
| Big Data Technologies | Tools and technologies for processing and analyzing large datasets (e.g., Hadoop, Spark). |
| Data Visualization | Techniques and tools for visualizing data for better understanding and communication. |
| Business Intelligence | Strategies and technologies for analyzing business information for decision-making. |
| Cloud Computing for Data Analytics | Use of cloud services for storing, processing, and analyzing data. |
