About Executive Program in Business Analytics (EPBA)

The Executive Program in Business Analytics (EPBA) is a specialized program designed for professionals seeking to enhance their decision-making skills through business analytics. 

It covers essential topics like statistical analysis, various tools, and predictive modeling, integrating practical applications with advanced theoretical knowledge. 

The EPBA program duration is six months, offering a 3-hour-a-week schedule and a blend of online and on-campus immersion sessions. 

Program Highlights

• Program designed by best of the industry experts
• Effective understanding of the knowledge through self-assessment quizzes & assignments
• 76 Hours Live Online Sessions
• Subject Matter Experts from Adani Group & Global experts
• 24 hours - 3 Days Campus Classes
• Project with help of Synthetic Data / Own Business Data

Tools & Techniques Covered

Power BI is a Microsoft tool that integrates well with other Microsoft products, providing robust data visualization and business intelligence capabilities.

Hadoop is a framework for distributed storage and processing large datasets using the MapReduce programming model.

Excel is a versatile and powerful tool for business analytics, widely used due to its accessibility, ease of use, and robust feature set.

Python is a powerful and flexible programming language widely used in business analytics for data manipulation, statistical analysis, machine learning, and data visualization.

Machine learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to recognize patterns and make decisions based on data.

Big data enables the analysis of vast, complex datasets to uncover hidden patterns, correlations, and insights that drive informed decision-making and innovation. It allows businesses to leverage data-driven strategies for enhanced performance, efficiency, and competitive advantage.

Cloud computing is extensively used in analytics to provide scalable, flexible, and cost-effective solutions for storing, processing, and analyzing large datasets.

The Curriculum

The EPBA offers a comprehensive curriculum that includes an understanding of Statistics for Business Analytics, Data Visualization tools, Time Series Forecasting, Big Data Analytics, Machine Learning, and Case Studies to help participants make data-driven decisions. The EPBA offers 15 hard-core technical modules that are crucial for Business Analytics. The modules are designed to upskill business professionals for the application of Business Analytics. A list of modules is given below:

1.   1. Overview and Objectives
2.   2. Dealing with Data and Data Science
3.   3. Data Analytics 
4.   4. Data Visualization using Excel 
5.   5. Descriptive Statistics 
6.   6. Sampling and Estimation 
7.   7. Forecasting Techniques 
8.   8. Statistical Analysis 
9.   9. Predictive Analytics 
10.  10. Introduction to Data Mining 
11.  11. Introduction to SQL 
12.  12. Data Visualization 
13.  13. Machine Learning Fundamentals 
14.  14. Big Data and Cloud Computing 
15.  15. Investment Analysis | Business Consulting | Financial Statement 

 Learning Outcomes

• Understanding statistical concepts and techniques for analyzing data.
• Familiarity with data visualization tools and techniques.
• Knowledge of machine learning algorithms and their applications.
• Ability to use data to identify and understand target markets, customer needs, consumer behavior.
• Ability to interpret and communicate the results of data analysis to stakeholders.

Who Can Apply?

• Bachelor’s or master’s degree in any discipline.
• No pre-requisite programming skills.

How to Apply?

• 1. Fill the inquiry form: Click Here: https://forms.office.com/r/WfPCLFHE68
• 2. You will hear from us
• 3. Pay Fee and Confirm Enrolment

.

Contact details: Mr. Aakash Singh – 80004 76346 for assistance or write to epba@aidtm.ac.in

Program Certificate

To be awarded an EPBA certificate after the program, a participant must fulfill requirements and other policies prescribed by the AIDTM.

Program Schedule & Fees: