Handling Large-Scale Unit Level Data

By Prof. Pratap C. Mohanty | IIT Roorkee

Learners enrolled: 537 | Exam registration: 50

The primary objective of this module is to enable learners in handling various large-scale complex database for detailed analysis. The latest statistical software like STATA will be employed in explaining these concepts as stated in the module. This will be practically oriented. The module covers the topics from basics of data, their collection, tabulation and analysis. The data analysis will be performed on various real life data (both quantitative and qualitative) which is crucial to any research. Topics include familiarization with unit-level data, collection, prerequisites, descriptive and inferential statistics, analysis of data using STATA, analysis of qualitative variables, and handling longitudinal (panel) data, etc.

INTENDED AUDIENCE : Economics, Management, Sociology, Engineering, Science, Interdisciplinary

PREREQUISITES : Basics of Statistics

INDUSTRIES SUPPORT : Consultancy, training and capacity building, Research and Business Analytics, professionals both teaching as research

Summary

Course Status :	Completed
Course Type :	Elective
Language for course content :	English
Duration :	8 weeks
Category :	Humanities and Social Sciences Faculty Domain for Newly Joined
Credit Points :	2
Level :	Undergraduate/Postgraduate
Start Date :	21 Aug 2023
End Date :	13 Oct 2023
Enrollment Ends :	21 Aug 2023
Exam Registration Ends :	15 Sep 2023
Exam Date :	29 Oct 2023 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

WEEK 1: Familiarization with Unit Level Data

Introduction to Data
Introduction to Unit Level Data
Understanding Unit Level Data: NSS
Understanding Unit Level Data: IHDS
Understanding Unit Level Data: NFHS

WEEK 2: Collection of Unit Level data

Review of Sample Techniques-I
Review of Sample Techniques-II
Sample size
Sample Size Determination-I
Sample size Determination- II

WEEK 3: Getting Started With STATA

Introduction to Stata
Exploring Data in Stata
Managing Data in Stata-I
Managing Data in Stata-II
Managing Data in Stata-III

WEEK 4: Prerequisites of Unit level Data

Questionnaire Design
Tabulation and Creation of New Variables in STATA-I
Tabulation and Creation of New Variables in STATA-II
Tabulation and Creation of New Variables in STATA-III
Variable and Value labels

WEEK 5: Hand Holding of Unit Level Data

Extraction in STATA-I
Extraction in STATA-II
Combining Datasets in STATA-I
Combining Datasets in STATA-II
Review of Commands

WEEK 6: Analysis of Unit level Data

Factor Analysis with Stata- I
Factor Analysis with Stata- II
Linear Regression Analysis in Stata-I
Linear Regression Analysis in Stata-II
Linear Regression Analysis in Stata-III

WEEK 7: Analysis of Qualitative Variables

Introduction to Qualitative Variables
Binary Choice Model -I
Binary Choice Model -II
Binary Choice Model -III
Binary Choice Model -IV

WEEK 8: Analysis of Unit level Longitudinal Data

Introduction of Panel Data
Panel Data Models
Pooled Cross Sectional Data
Construction of Panel Data
Analysis of Panel Data in Stata

Books and references

Adesoji, F & Babatunde, Musibau. (2018), BASIC STATISTICAL TECHNIQUES IN RESEARCH

Lyon, A. (2014), Why are normal distributions normal?, The British Journal for the philosophy of science

William H Greene: Econometric Analysis, Pearson 8th Edn.

Freedman & Pisani & Purves: Statistics 4th Edn

Cameron & Trivedi: Microeconometrics using STATA, Revised Edn.

Wooldridge: Econometric Analysis of Cross-section and Panel Data, MIT Press

Instructor bio

Prof. Pratap C. Mohanty

IIT Roorkee

Dr. Pratap Mohanty is presently a faculty member in the Economics discipline of Dept. of Humanities and Social Sciences, IIT Roorkee. He has thirteen years of teaching and research experience from reputed universities and institutions. He has been teaching the paper ‘Research Methodology’ at IIT Roorkee for over four years to Masters’ and PhD students. He has also organized a Quality Improvement Program as a coordinator on ‘Quantitative Analysis of Qualitative Data using Large-Scale Database at IIT Roorkee. He has expertise in the NPTEL-MOOCs on large scale data handling.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 29 October 2023 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Roorkee.It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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