the ks group of institutions mba in big data analytics is a two-year full-time program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with the opportunity to gain hands-on experience in, the big data analytics mba at ks group of institutions is a two-year full-time program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with an opportunity to gain hands-on experience in, the mba in big data analytics at ks group of institutions is a full-time two-year program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with an opportunity to gain hands-on experience, the mba in big data analytics at ks group of institutions is a two-year full-time program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with an opportunity to gain hands-on experience, the mba in big data analytics at ks group of institutions is a two-year full-time program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with the opportunity to gain hands-on experience, the mba in big data analytics at ks group of institutions is a two year full-time program designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with the opportunity to gain hands-on experience in, the program is designed to provide students with the necessary skills to analyze and interpret large data sets develop predictive models and create data-driven solutions the program also provides students with the opportunity to gain hands-on experience in the field of big data analytics through internships and projects students will have the opportunity to work with
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | MBA | INR 2.5 Lakhs | Online/Offline | Private |
| Semester | Subjects | Topics |
|---|---|---|
| 1st Semester | Data Science Fundamentals Data Visualization Data Mining Data Warehousing Database Management Systems Business Intelligence Data Analysis and Modeling | Introduction to Data Science Data Visualization Tools Data Mining Techniques Data Warehousing Concepts Database Management Systems Business Intelligence Tools Data Analysis and Modeling Techniques |
| 2nd Semester | Big Data Analytics Data Science with Python Data Science with R Data Science with SAS Data Science with Hadoop Data Science with Spark Data Science with Tableau | Big Data Analytics Concepts Data Science with Python Programming Data Science with R Programming Data Science with SAS Programming Data Science with Hadoop Framework Data Science with Spark Framework Data Science with Tableau Visualization |
| 3rd Semester | Data Science Project Data Science with Machine Learning Data Science with Deep Learning Data Science with Natural Language Processing Data Science with Text Mining Data Science with Image Processing | Data Science Project Development Data Science with Machine Learning Algorithms Data Science with Deep Learning Algorithms Data Science with Natural Language Processing Techniques Data Science with Text Mining Techniques Data Science with Image Processing Techniques |
| Topic | Description |
|---|---|
| Data Mining | Exploring large datasets to uncover patterns and relationships |
| Data Visualization | Using graphical representations to interpret data |
| Data Warehousing | Storing and managing large datasets for analysis |
| Data Analysis | Using statistical and mathematical techniques to analyze data |
| Data Security | Protecting data from unauthorized access |
| Business Intelligence | Using data to make better business decisions |
| Data Modeling | Developing models to represent data and its relationships |
| Data Governance | Managing data to ensure compliance with regulations |
