the aakash institute of business management aibm is a leading institute in india which offers a wide range of courses and specializations in the field of big data analytics including data mining predictive analytics and data visualization the faculty members are well-versed in the latest technologies and trends in the field, aakash institute of business management aibm is a leading institute in india which offers an mba in big data analytics the institute has a strong focus on providing students with the knowledge and skills needed to excel in the field of big data analytics the faculty members are well-versed in the latest technologies, aakash institute of business management aibm is a leading institute in india that offers mba in big data analytics the institute has a strong focus on providing students with the knowledge and skills required to excel in the field of big data analytics the faculty members are well-versed in the latest technologies and
| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 2 Years | MBA | INR 2.5 Lakhs | Full Time | Private |
| Course | Description |
|---|---|
| Introduction to Big Data Analytics | Overview of Big Data Analytics, its importance and applications. |
| Data Management and Storage | Data management and storage techniques for Big Data. |
| Data Mining and Visualization | Data mining and visualization techniques for Big Data. |
| Data Analysis and Modeling | Data analysis and modeling techniques for Big Data. |
| Business Intelligence and Decision Making | Business intelligence and decision making techniques for Big Data. |
| Big Data Security and Privacy | Security and privacy techniques for Big Data. |
| Big Data Applications | Applications of Big Data Analytics in various industries. |
topic description 1 data mining techniques used to analyze large datasets for patterns and trends 2 machine learning algorithms used to identify patterns in data and to make predictions 3 data visualization techniques used to present data in a graphical format 4 business intelligence strategies used to analyze, topic description 1 data mining techniques used to analyze large datasets for patterns and trends 2 machine learning algorithms used to identify patterns in data and make predictions 3 data visualization techniques used to present data in a graphical format 4 business intelligence strategies used to analyze data, topic description 1 data mining techniques used to analyze large datasets for patterns and trends 2 machine learning algorithms used to identify patterns in data and make predictions 3 data visualization techniques used to present data in a graphical format 4 business intelligence strategies used to analyze data and, topic description 1 data mining techniques used to analyze large datasets for patterns and trends 2 machine learning algorithms used to identify patterns in data and to make predictions 3 data visualization techniques used to present data in a graphical format 4 business intelligence strategies used to analyze data and make informed decisions, topic description 1 data mining techniques used to analyze large datasets for patterns and trends 2 machine learning algorithms used to identify patterns in data and make predictions 3 data visualization techniques used to present data in a graphical format 4 business intelligence strategies used to analyze data and make informed decisions 5 data ware
