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4.6
Share this courseOperations, Production and Decision Sciences
Executive Development Programme in Business Analytics for Managers Batch-5
Business Analytics is now a mainstream technique in the hands of senior management to take business decisions. This course is targeted towards equipping mid and senior managers with the knowledge and skill to identify the opportunity of using data science and artificial intelligence for business benefit and leverage them for managerial decision-making.
- Start date
- 15th July, 2021
- Duration
- 7 months · 90 hrs
₹ INR 1,50,000 +INR 2,500+ Tax
Duration
7 Months(90Hrs)
Category
Operations, Production and Decision Sciences
Last Date to Apply
29th June, 2021
Program Directors
Course Details
Business Analytics is now a mainstream technique in the hands of senior management to take business decisions. This course is targeted towards equipping mid and senior managers with the knowledge and skill to identify the opportunity of using data science and artificial intelligence for business benefit and leverage them for managerial decision-making. This course is not targeted at preparing participants for commencing a career in data science or artificial intelligence. Hence the course is light in coding and emphasizes on understanding, using, and interpreting data in organizations. At the end of this programme, participants will be able to
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- Identify areas in their organization where business analytics can be gainfully applied
- Have a managerial understanding of the techniques and tools used in analytics, data science and AI
- Develop skills and knowledge for effectively managing data science and analytics teams
- Help build a data driven organization and a analytics team for the organization
- Evaluate investment decisions for analytics projects in their organizations
- The Course is NOT intended to equip the participants to become a data science professional.
Course Content
Module 1: Analytics as Strategic Lever
- Data and data literacy in organizations
- Types of analytics – descriptive, predictive and prescriptive
- Use cases of Analytics - An introduction
- Good and bad Analytics
- Deriving organization’s data science objectives from strategic business objectives
- Building hypothesis for organizational decision making: use cases from different verticals
- Limitation of analytics – where intuition still wins!
- Case Study: Harvard article on “Data Science and Art of Persuasion”
Approximate duration = 6 hours (4 sessions) Module 2: Revisiting Statistics for Managers
- Describing and presenting data
- Applying measures of central tendency in business metrics
- Probability and its application in business
- Sampling theories and their application in business
- Hypothesis testing, use cases in business
- Analysis of variance, use cases in business
- Correlation and regression, use cases in business
Approximate duration – 15 hours (10 Sessions) Module 3: Decision making using Algorithms & Machine Learning
- Principal types of algorithms
- Application of Bivariate and Multiple linear regression models
- Classification algorithms – concept and use cases
- Clustering algorithms – concept and use cases
- Design of recommendation system
Approximate duration = 15 hours (10 Sessions) Module 4: Spreadsheet Modeling for Business Decision
- Modeling approach to decision making
- Linear Programming approach to solve business problem, e.g.
- Make-Buy decision
- Investment decision
- Blending problem
- Production and inventory planning problem
- Multi-period cash flow problem
- Sensitivity Analysis and Simplex Method
Approximate duration = 6 hours (4 Sessions) Module 5: Data Warehousing & Technology
- Data management and querying
- Data extraction, transformation and loading (ETL) techniques
- Fundamentals of data warehouse
- Overview of technology stack to support analytics
Approximate duration = 3 hours (2 Sessions) Module 6: Digital Media Analytics
- Scope and benefits of digital media analytics
- Types of digital media analytics
- Consumer insights using web and mobile app analytics
- Social media analytics
- Overview Text mining and sentiment analysis
- Online reputation management
Approximate duration = 9 hours (6 Sessions) Module 7: Big Data
- Understanding Big Data
- Understanding application of Big Data
- Big Data application tools – Hadoop, MapReduce
- Exploiting Big Data for business decision
- Example from Facebook & Goggle
Approximate duration = 6 hours (4 Sessions) Module 8: Application of Deep Learning and Reinforcement Learning in Managerial Decision making
- Fundamentals of Deep Learning
- Deep, Convolution and Recurrent Neural Network – concept
- Use cases of Deep Learning in different industry verticals
- Fundaments of Reinforcement Learning
- Use cases of Reinforcement Learning in industry
Approximate duration = 6 hours (4 Sessions) Module 9: Data Visualization and Story-telling
- The art of story-telling with data
- Data visualization – concept and application
- Using self service data visualization tools (e.g. Tableau) to generate management reports and dashboards
- Visualizing data using infographics
- Evaluating an Analytics report
Approximate duration = 9 hours (6 Sessions) Module 10: Managing a Large-Scale Data Science project
- Data Science project management methods and governance
- Application of Agile
- Managing organizational change
- Developing and managing a data science project contract
Approximate duration = 3 hours (2 Sessions) Module 11: Developing a Business Case for Analytics Project
- When is investment in data science justified and when not?
- Identifying and quantifying benefits of a data science for an organization
- Estimating investments in a data science project
- Estimating return on investment in a data science project
Approximate duration = 3 hours (2 Sessions) Module 12: Building a Data Driven Organization
- New organization roles and governance for a data driven organization
- Recruiting and retaining data science talent pool
- Scaling a data team
- Vendor eco-system for data science services
Approximate duration = 3 hours (2 Sessions) Module 13: Data Privacy and Trust
- Ethical Concern on data privacy and trust in Analytics
- Methods to preserve privacy of sensitive data
- Legal issues on data privacy
- Recent case studies
Approximate duration = 3 hours (2 Sessions) Module 14: Capstone Project The participants will be asked to work on a Capstone Project for a industry domain of their preference. It is expected that the participants will work on live data set from their own organization.
Who Should Attend
This course is targeted towards equipping mid and senior managers with the knowledge and skill to identify the opportunity of using data science and artificial intelligence for business benefit and leverage them for managerial decision-making. This course is not targeted at preparing participants for a career in data science or artificial intelligence. This is not a programming course.
Course Pedagogy
The above stated objectives will be attained through:
-
-
- A very intensive programme useful from a corporate management view point.
- Project work.
- Lecture Series.
- Case methods .
- Group work .
- Workshop.
-
Assessment
- Projects
- Assignments
- Online Exam and offline Exam
- Capstone Case Analysis
- XLRI shall set the papers for examinations and evaluation shall be done by XLRI at its own cost. The faculty members teaching their respective courses will choose the method of evaluation most appropriate to the material.
- Regular Quizzes to be conducted online by XLRI
- Minimum attendance 70%.
Certification
XLRI shall carry out the examination and evaluation required for certification. XLRI will directly award a certificate to participants who complete the programme successfully. Giving feedback is an integral part of the completion requirements of the programme.
Programme Fee
| For Indian Participants | |
|---|---|
| Application Fees | INR 2,500 + INR 22,000 + GST At the time of Registration |
| Instalment I | INR 50,000 + (Programme Fees) +GST On or Before: 12th July 2021 |
| Instalment II | INR 50,000 (Programme Fees) + GST On or Before: 15th October 2021 |
| Instalment III | INR 30,000 (Programme Fees) + GST On or Before:15th December 2021 |
How to Register
To register for the Short Term Course, Executive Development Programme in Business Analytics for Managers (Batch-5) of XLRI, Jamshedpur;
- Online Application -Candidates are expected to submit Online Application Forms along with the registration fee of Rs. 2,500 (application fee)+22,000 (1st Installment)+GST to get themselves registered for the e-MDP Programs offered by XLRI Jamshedpur in association with Erulearning.
- Registration - Candidates are requested to register by clicking on the Register button.
- Payment - Online applicants may use their "Log in ID" and "Password" to make their payment online.
- Last date to apply - The last date for the payment of online application fees together with the first installment for first round is 29th June 2021 .
- Information details - Any application with incomplete information (eg: without photograph, educational details and details related to your work experience etc.) will not be accepted.
- Eligibility
- Graduation (10+2+3) in any discipline. At least 04 years of work experience.
- Enquiry - Queries related to the course may be addressed to:
- EMDP Office:
- 0657-665-3487 [email protected]
- Mr.Santosh Kumar Mohanty :
- 0657-665-3487
* Kindly keep the Registration ID & Password safely with you for any further correspondence with this regard.
* XLRI & Erulearning reserves the rights to cancel the candidature of any candidate at any point during the Programme for any misconduct or misleading information.
Life at Our Campus
Programmes at XLRI combine live online learning with time on the Jamshedpur campus, a green, historic setting where participants meet faculty and peers in person, join campus sessions and build a lasting professional network.
