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Internship on Data Analytics with Managerial Applications

Internship in
Data Analytics with Managerial Applications
IIM Lucknow


I am offering an internship in Data Science and Analytics with Managerial Applications. This document has detailed information about the internship and instructions on how to apply.



  • This is a remote internship. This means that if you are selected, you will do your assigned work, long-distance, as per your own convenience. You will interact with me by means of email, phone and/or other digital media.
  • There are no fees. There is no stipend. You do need purchase some teaching materials prescribed by me, in original -  some Cases sold by Harvard Business Publishing and some videos on Data Science and Analytics using R programming.
  • If you successfully complete this internship, you will receive a certificate from me.
If you are interested, please carefully review this document and precisely follow the instructions on how to apply. Thank you for your interest.


Yours sincerely,
Prof. Sameer Mathur, Ph.D. (Carnegie Mellon University)
Marketing Professor (IIM Lucknow) 


Marketing Management: You may also be interested in my Internship in Marketing Management. Please see https://goo.gl/iA0zzR for details.


Authenticity Check: If you doubt the genuineness of this internship, you may seek confirmation from me, Prof. Sameer Mathur, by sending an email to my official email address sameer@iiml.ac.in.


Internship Information
This internship is divided into the following 7 modules and a project that will be completed over 4 weeks.


MODULE
DATA ANALYTICS TOPIC(S) COVERED
1
Describing Data
2a
Visualizing Data
2b
Visualizing Data (2)
3
Frequency Tables
4
Correlations
5
T - Tests
6
Linear Regression: Ordinary Least Squares (OLS)
7
Analysis of Variation (ANOVA)


Project: Interns will need to complete a final project during the last few days of the internship. The project will be related to the Hotel Industry or the Airline Industry. It will provide the interns with an open-ended, unstructured opportunity to explore and apply the data analytics skills taught by me during the internship. Additional information about the project will be separately shared.
Readings: The quantitative training using the R programming language will be supplemented by some qualitative readings on Data Analytics and Data Science.
 


Study Materials - Cases and Videos
The course materials used during this internship will be a mix of the following learning aids: (i) Videos, (ii) Slides, (iii) R code samples, (iv) Cases available on Harvard Business Publishing. You will also need a computer with regular internet access.  
There are no fees and no stipend. 
The total expenses that each intern will individually incur in purchasing teaching materials will be approximately Rs 4800/- , as follows:

Expected Expense
3 Cases from Harvard Business Publishing ($7.46 + $8.95 + $7.46 = $23.87)
Rs 1550/-
Videos from UDemy.com on “Data Science and Analytics using R programming” $50
Rs 3250/-
Total Expected Expenses on Teaching Materials
Rs 4800/-


Marketing Videos from UDemy.com: Your learning will be closely tied to several hours of videos on Data Science and Analytics using R programming, created by me, published by www.UDemy.com. Please see https://www.udemy.com/data-science-and-analytics-using-r   


Cases from Harvard Business Publishing: During the internship, I will also expose you to how to analyse cases from Harvard Business Publishing.
Pioneered by HBS faculty, the case method is a profound educational innovation that presents the greatest challenges confronting companies—complete with the constraints and incomplete information found in real business issues—and places the student in the role of the decision maker.
Top MBA schools in India, including the well-known IIM ABCL, use the Case Method. I extensively employ Harvard Cases in my own teaching at IIM Lucknow. For example, I use Harvard cases while teaching the compulsory Marketing Management II course to 1st year MBA students. I also use them extensively while teaching my 2nd year electives on Data Analysis in Marketing and Brand Management at IIM Lucknow.
During your internship, I will give you a flavour of what a typical MBA student learns. You will be analysing the following three cases during your internship:


CASE
CASE TITLE
SUBJECT
DATA ANALYTICS CONCEPTS
C1.
LEADERSHIP & MANAGING PEOPLE
Contingency Tables, Logistic regression
C2.
FINANCE & ACCOUNTING
Descriptive Statistics, TTest, ANOVA
C3.
TECHNOLOGY & OPERATIONS
Employee Retention, Service Management


These three cases have been thoughtfully prescribed by me, since they are applicable to a variety of Management subjects and cover a variety of topics related to Data Analytics.


Assignments
You will also be doing two assignments during this internship, as described below.


ASSIGNMENT

ASSIGNMENT TITLE

SUBJECT

DATA ANALYTICS CONCEPTS

A1.

Predicting Titanic Deaths

LEADERSHIP & MANAGING PEOPLE

Contingency Tables, Logistic regression

A2.

Box Office Performance of Movie Sequels

SALES & MARKETING

Descriptive Statistics, TTest, ANOVA



Additional information about the Assignments will be separately shared by me after the internship begins.


TED Videos
TED Talks are influential videos from expert speakers on education, business, science, tech and creativity. TED (Technology, Entertainment, Design) is a media organization which posts talks online for free distribution, under the slogan "ideas worth spreading". During your internship, you will watch and critically analyze a few TED Talks of special relevance to Data Analytics.


Free Articles and Blog Posts from www.hbr.org
Harvard Business Review's mission is to improve the practice of management in a changing world. HBR provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact. During your internship, you will critically read and analyze some recent, free articles posted on www.hbr.org


Tentative Schedule of the Internship


You will be expected to work six-days a week, for four weeks, during this internship. There will be a fixed set of tasks for you to do everyday of the internship (except Sundays).
The tentative schedule for Week X, Day Y, where X = {1,2,3,4,} and Y = {1,2,3,4,5,6} is shown below.


Week 1*:
Day
Modules
Schedule
Mon
1
Describing Data using R
Tue
2a
Visualizing Data using R
Wed
2b
Visualizing Data (2) using R
Thu
3, 4
Frequency Tables; Correlations using R
Fri
1,2,3,4
HBR Case 1: A Dean's Dilemma
Sat
1,2,3,4
Assignment 1: Predicting Titanic Deaths
Sun
-
-


Week 2*:
Day
Modules
Schedule
Mon
5, 6
T-Test, Linear Regression
Tue
1,2,5
Wed
1,2,3,4,5
Assignment 2: Box Office Performance of Movie Sequels
Thu
6
Linear Regression
Fri
6
HBR Case 2: MBA Starting Salaries continued
Sat
6
HBR Case 1: A Dean's Dilemma continued
Sun
-
-


* In addition to your quantitative training using the R programming language, you will be learning Data Analytics from a qualitative perspective by analyzing a TED Video and / or analyzing a free HBR.org article.
Week 3*:
Day
Modules
Schedule
Mon
6
HBR Case 1: A Dean's Dilemma (continued)
Tue
6
HBR Case 3: Store24 (A)
Wed
6
HBR Case 3: Store24 (A)
Thu
7
Analysis of Variance (ANOVA)
Fri
7
Analysis of Variance (ANOVA)
Sat
7
HBR Case 2: MBA Starting Salaries (continued)
Sun
-
-


* In addition to your quantitative training using the R programming language, you will be learning Data Analytics from a qualitative perspective by analyzing a TED Video and / or analyzing a free HBR.org article.


Week 4:
Day
Modules
Schedule
Mon
7
HBR Case 2: MBA Starting Salaries (continued)
Tue
7
Assignment 2: Box Office Performance of Movie Sequels(continued)
Wed

Final Project
Thu

Final Project
Fri

Final Project
Sat

Final Project
Sun
-
-


Eligibility
1. This internship is meant for current students / working professionals who are currently pursuing / have completed a bachelor's degree in any branch of Engineering or Science.


2. Some prior programming experience is recommended. It does not matter which programming language you have previously used (e.g. C / C++ / Java). A prior knowledge of R programming is NOT required -- you will be taught R programming during this internship.


3. Some prior background in college-level Mathematics is recommended. If you have not studied Mathematics beyond Class XII, your application will be rejected.


4. Prospective Interns will be screened by Prof. Sameer Mathur based on their academic merit and experience.


How To Apply
This is a remote / long-distance internship, four-weeks in duration. You may select any one of the following time-frames to pursue this internship.


Internship Duration
Application Deadline
Aug 7 - Sep 2, 2017
July  30, 2017


Please follow the following three steps to submit your application:
STEP 1:  Please review this document carefully and follow this link to fill the APPLICATION FORM at https://goo.gl/bkkAad


STEP 2: Please send an email to MBASkillsIN@GMail.COM
  • The subject of your email should indicate your internship dates (e.g. July 10, 2017 - Aug 5, 2017)
  • The body of your email should have a cover letter addressing the following points.
    1. Your College, Subject, Year In College, CGPA/Percentage (if you are a current student) / The name of your Company and your work profile (if you are working)
  • Your email should have the following attachments:
    1. CV
    2. A recent passport-sized photo
    3. College / Company identity card
    4. Marksheets of each term of college education
    5. Adhaar Card or Passport
    6. If you are working full-time, your college degree and recent payslip from your employer


STEP 3: Please create / update your LinkedIn profile and connect with Prof. Sameer Mathur. Please ensure that your LinkedIn profile includes your photograph and current education. LinkedIn Profile: https://in.linkedin.com/in/sameermathur   
Questions / Concerns / Doubts: If you have any questions or concerns regarding this internship, please email Prof. Mathur at MBASkillsIN@GMail.COM


Prof. Sameer Mathur’s profile
http://www.iiml.ac.in/wp-content/uploads/2013/11/sameer.jpg


Sameer Mathur
Associate Professor
Specialization
:
Marketing
Qualification
:
  • Carnegie Mellon University, Ph.D. (Marketing)
  • Carnegie Mellon University, M.S. (Marketing)
  • University of Illinois at Urbana-Champaign, M.S. (Computer Science)
  •  Indian Institute of Technology, Roorkee (Bachelor of Engineering)
Experience
:
  • Indian Institute of Management, Lucknow (Marketing Professor, 2013-)
  • McGill University, Montreal, Canada (Marketing Professor, 2009-2013)




Testimonials from Past Interns who did my remote Internship on Data Analytics with Managerial Application

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