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| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | Postgraduate | INR 2.5 Lakhs | Full-time | Private |
| Course | Description |
|---|---|
| Introduction to Business Analytics | Overview of the field of business analytics, including the fundamentals of data analysis, data mining, predictive analytics, and decision making. |
| Data Management and Analysis | Exploration of data management and analysis techniques, including data warehousing, data mining, and data visualization. |
| Predictive Analytics | Introduction to predictive analytics, including linear and logistic regression, decision trees, and neural networks. |
| Business Intelligence | Overview of business intelligence tools and techniques, including data warehousing, data mining, and data visualization. |
| Data Science | Exploration of data science techniques, including machine learning, natural language processing, and text mining. |
| Business Strategy and Decision Making | Overview of business strategy and decision making, including game theory, optimization, and simulation. |
| Business Analytics Applications | Exploration of business analytics applications, including customer segmentation, marketing analytics, and supply chain analytics. |
| Topic | Description |
|---|---|
| Data Mining | Exploring and analyzing large datasets to uncover patterns and trends. |
| Data Visualization | Using graphical techniques to represent data in a meaningful way. |
| Predictive Analytics | Using statistical models to predict future outcomes. |
| Decision Analysis | Using data-driven techniques to make better decisions. |
| Business Intelligence | Using data to gain insights into business performance. |
| Data Warehousing | Storing and managing large datasets for analysis. |
| Data Governance | Ensuring data is managed and used responsibly. |
