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Executive Programme in Advanced Business Analytics (EPABA)-Blended Learning - Batch: 05 (EPABA –BL05)

This executive programme would be divided into modules as Statistical Modeling, Machine Learning, Financial Analytics, Marketing Analytics, Human Resources Analytics and Operations Analytics. The overall value gained at the end of the programme is expected to build a solid foundation for business analytics.

Prof. Arnab K. Laha

Description

Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is not being utilized leading to organizations missing out on potent competitive strategies.

Analytics has been successfully used for identifying a firm’s most profitable customers, deciding on the best offer price for a product, accelerating product innovations, optimizing supply chains, identifying key drivers of financial performance etc. Leading organizations in India and abroad have benefitted greatly by leveraging the power of analytics. Competence in analytics has become a critical skill for managers of the new age business organizations.

This executive programme would be divided into modules as Statistical Modeling, Machine Learning, Financial Analytics, Marketing Analytics, Human Resources Analytics and Operations Analytics. The overall value gained at the end of the programme is expected to build a solid foundation for business analytics.

Learning Objectives

The Programme rigrously covers the field of Business Analytics

It would help improve managerial and leadership capabilities of participants

Increased quality of interactions and peer group learning among participants

Specifically designed for working executives with all the flexibility benefits of interactive onsite learning

Enables superior performance on the job. Exclusive focus on imparting relevant skills for career development

Pedagogy

The pedagogy will leverage use of technology. It will consist of a judicious blend of lectures, real life case studies, quizzes and assignments..

Course Duration:

Spread over four (4) months

Mode of Delivery:

Online classrooms at VCNow centres and campus modules at IIM Ahmedabad (Subject to government regulations)

Frequency:

Twice a week

Class Schedule:

Friday 6:00pm to 9:00pm & Saturday: 3:00pm to 6:00pm

Evaluation Methodology:

Participants are assessed for all the courses. Participants will be given any one of the following grades: “Satisfactory Plus” (S+); “Satisfactory” (S); “Unsatisfactory” (U). A participant will be asked to leave the programme and the fees will then be forfeited in any of the following cases:

  1. If a participant gets 2nd U for academic indiscipline wherein Academic Indiscipline includes cheating/ copying/ plagiarism in assignments and examinations and facilitating cheating in anyway or is found having integrity issue during the programme.
  2. If a participant gets 4th U for under-performance.
  3. If a participant gets 1 U for academic indiscipline and 3Us for under-performance.
  4. The norms of the programme require a participant to attend at least 80% of attendance to become eligible to receive the certificate, failing which a participant won’t be awarded the certificate

Evaluation by:

IIM Ahmedabad

Evaluation Mode:

Evaluation may also include one or more of the following: Online Assessment/Case Study, Discussions/Quiz/Assignments/Offline Assessment (Paper-pencil test)/Class Participation. The final decision on evaluation methods rests with the course faculty and may change without prior intimation.

Certification

IIM Ahmedabad shall issue a Certificate of Completion (CoC) based on fulfilling 80% minimum attendance criteria.

IIMA Alumni Status:

Alumni status can be awarded subject to fulfilling evaluation criteria and all the terms and conditions of the programme.

Selection:

Selections will be based on evaluation of individual profile & Statement of Purpose (SoP)

Service Provider:

VCNow

For Assistance

VCNow: +91 7428290700
IIMA Phone: +91-79-7152 6300; or write to inquiry-blp@iima.ac.in

Course Content

Big Data

Data Visualization

Statistical Predictive Modeling

Forecasting

Machine Learning

R programming

Marketing Analytics

Financial Analytics

Operations Analytics

Human Resource Analytics

Project

Applicants should be working professionals / self-employed with Graduate degree in a relevant subject with at least 50% of marks obtained. At least 2 years work experience in a relevant field is desirable. Post-Graduation in a relevant subject is desirable.

Prof. Arnab K. Laha

Programme Faculty

Prof. Ankur Sinha

Prof. Arnab Laha

Prof. Dhiman Bhadra

Prof. Karthik Sriram

Prof. Kavitha Ranganthan

Prof. Sanjay Verma

A learning path with Online@IIMA is adaptable, individualized and multifaceted. It is designed to foster an ecosystem where the learner will be capable of connecting micro modules to the core specialization - weaving the entire experience into a thorough learning opportunity towards a productive output or building sustainable solutions.

Enroll Now
  • Skill Level Advanced
  • Language English
  • Certificate Yes
  • Fees475,000.00 +GST
  • Last Date of Application 15 Jun 2023
  • Start Date 13 Jul 2023
  • End Date 29 Nov 2023

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