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XLRI Xavier School
of Management
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Jamshedpur - 831001
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EDP in Business Analytics for Managers Batch-5

EDP in Business Analytics for Managers Batch-5

Course Overview

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
    • 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. Certificate
This course does not have any sections.

This has been one of my best learning experiences. It has got me to appreciate business management in a better way.The teaching faculty have been brilliant, the TA’s have been approachable and helpful throughout the course and I would rate this course a 10 on 10 when its gauged against other similar courses offered.I have been interacting with the students who are from the other institutes at our Hughes center and I have learnt that none of those courses have the rigor that PGCBM demands. This is something I appreciate about the PGCBM course as this has forced us to study and work hard towards achieving a good grade albeit at a cost. The cost is the toll it has taken in managing the work and personal life as the course has been heavy and requires a focused study of a good 2-3 hours every day on an average. But I believe if it was not so then there would not have been any learning. With regards to the campus component I felt it was brilliantly organized and the effort put in by the VIL team is commendable. The faculty was superb, the accommodation was excellent and the food was an absolute treat.

I thank the entire XLRI team for this and hope to be associated with the XLRI family in the years to come.
Mr. Darshan Krishnamurthy – PGCBM 26

I would like to say a BIG THANK YOU…. for all that you all did when we were on campus.I wish we as HR, can be to our employees what you were to us in that week.It was one of the most hectic week but I loved every bit of it. If another week of campus stay is announced, I will register without a thought! Everything was almost perfect. Hearing, knowing of and admiring XLRI is different from experiencing it. In one word, I lived the most inspiring week of my life in Jamshedpur! Thanks again for everything.
Ms. Anindita Dey – PGCHRM 19

I am very proud to be an alumnus of the great institution ‘XLRI’ that has produced some of the greatest leaders in various fields. To have been taught by the professors at XLRI who are great academicians and who guide many global companies to drive their strategies was indeed a sought-after experience. I am very proud to have been a part of XLRI where students are not just students but managers, strategists and leaders in the making. Being an alumnus of XLRI where values and patriotism are omnipresent even today is one of my biggest achievements.
Ms. Rudrani Nalubolu – PGCHRM-14

I am proud to say that XLRI is my alma mater, and extremely happy to have done so well in the course. The best part about the VIL courses is the quality of teaching – we interact with the finest minds in the subject, and the intellectual stimulation that comes out of classroom discussions is simply mind blowing. I will always remember this one year as one of the most valuable years of my life.
Ms. Pushpa Jagadeesan – PGCHRM-13

I have had a wonderful experience as a student of the program and have learned a lot from my professors and fellow students. There are many options available in the education market to continue your education as a professional. However, the experience, exposure and access to years of research in the field of HR cannot even come close to what one can find at XLRI. Being a part of this institution makes me stand apart in the crowd and to believe in what I stand for as an HR professional. I am proud to call myself an XLRI alumnus and it is my honor to be one.
Godfrey Mitchell – PGCHRM-12

Its been an awesome ride at XLRI.I’ve meet some wonderful friends and meet some great leaders who have helped me take critical decisions of my life.I’ve already been recognized by top companies in my sector with offers from companies as renowned as pepper fry, which i had to let go cause i had a different vision.
Currently i have got an opportunity to lead the HR team of one the companies with not only the biggest vision’s in INDIA but in the world which has a vision to save millions of life’s on a click of a button and i would owe this to XLRI for giving me the XL tag, it certainly counts. i am working as a consultant though for 3 months but the opportunity is what I have always wanted lets just hope i make this count. Cheers!!!. Thanks a ton. Its just the beginning… 
Thanks a ton, Team XL.
Archie D souza – PGCHRM-20

With great pleasure and humility I would like to share this moment of happiness with my Respected Professors and Students.On 18th February 2017, I was honored  with prestigious ‘100 most Impactful CSR Leaders ( A Global Listing)’  by World CSR.The 100 Most Impactful CSR Leaders (Global Listing) is a tribute to those who are missionaries and passionate about CSR. Those Leaders who have believed that CSR Leadership must contribute to Social change are recognized. The World CSR Day pays a tribute to such leaders who are transformation agents. By recognizing Leaders who have contributed value & made a change. Such Leaders who are impactful & believe that there is a MAD (Making A Difference) approach to their workThe approach is driven by passion & commitment towards Social Change.I am really grateful towards  XLRI and  my Great Professors for the wonderful learning that helped me develop a new vision and  better approach to my work.I am a proud student of XLRI PGCHRM -20 Batch.
Kindly convey my gratitude to all the professors and batchmates who have contributed significantly for this achievement.
Vibha Natraj – PGCHRM-20

Wonder why something happens suddenly in our life? Explore not. It’s the lord who connects the dot. Such was the amazing experience when I first came to know about XLRI course. I had a quick glimpse of all the details, and thought why cannot I join this? After working for Indian Air force, for seventeen long years, I made up my mind to be an HR person, so that I can render my long term of experience so far to the organization, where I could get an opportunity to work.
The XLRI PGCHRM -21 courses gave me an extreme outlook, to enhance my HR skills to a large extent. The journey from day one was fantastic. It created a platform for getting to know each other, from different parts of the country. Each XLRI’an had many stories to share and learning experiences. In spite of all the hurdles faced by me professionally & personally during the course completion, I made it a point to succeed in all the areas of assessment. Now, a person with many master degrees in hand, feel proud and happy to say that XLRI has great impact on my career. Now after having so much of learning experience, I had been successful in dealing with many issues in my organization.
I should definitely quote here, an HR person deals with human resources, the most challenging task. It requires really great skill and learning. And I believe, XLRI has rendered me those skills. Now when I look back, I feel my quick judgement of enrolling myself in XLRI then was really a great decision.
Sreenivas.K RH-16142 – PGCHRM-21

I found the course extremely useful for working executives like me. The course coverage was exhaustive with all contemporary issues covered at length. The course pedagogy that included quizzes, assignments, mid-term and end-term exams, ensured that along with conceptual learning we also mastered the application of such concepts in real life situations. It was indeed a privilege to learn from the hugely experienced faculty, most of whom shared deep insights from the corporate world, which made our learning more practical and useful.In order to make the programme even more useful, I would like to suggest the following:
Presently, the immersion programme at XLRI campus is for a week during the entire duration of the programme. This needs to be conducted twice (a total of two weeks) during the programme. Such ‘face-to face’ interaction with the faculty is particularly helpful in having a better grasp of such courses/topics as Labour Laws, IR&PM, Collective Bargaining, Social Research Methods, etc.
On the whole, it was a great learning and enriching experience for me as a professional. I shall continue to have fond memories of the wonderful time spent in the classroom and campus with professors and co-students alike!
Arup Kumar – 26th March, 2017

Thank you all so so much for making our stay in the campus super comfortable and a memorable one. We are back at our work stations loaded with funtastic memories and friendships to be cherished forever.
Thank you all once again.
Ms. Srimoyee Basu – PGCBM 26

Campus Component was most wonderful event and it was an experience for lifetime.I never imagined myself as a student again attending classroom lectures. This was possible because of the Campus Component. Thanks for the wonderful hospitality during our stay.
Mr. Santosh Pawaskar – PGCBM 26

Though it was a VIL platform, but I didn’t observe any lack of quality in the teaching pedagogy. Faculty was always approachable. Studying through this platform was the same as studying at college.
                                           Bhim Sain Mirg – PGCBM-19

Visiting the XLRI campus is one of the most memorable experiences of my life. I appreciate the effort you and the team invested in the 1 year VIL program and CC. Hats off to the team. 
                                       Sonia Singh – PGCHRM 18