Course10910718240 lectures
Handling Large-Scale Unit Level Data
Prof. Pratap C. Mohanty · IIT Roorkee
About
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
Lectures
Week 1
- Introduction to Data
- Introduction to Unit Level Data
- Understanding Unit Level Data: NSSO
- Understanding Unit Level Data: IHDS
- Understanding Unit Level Data: NFHS
Week 2
- Review of Sample Techniques-I
- Review of Sample Techniques-II
- Sample Size
- Sample Size Determination-I
- Sample Size Determination-II
Week 3
- Introduction to Stata
- Exploring Data in Stata
- Managing Data in Stata-I
- Managing Data in Stata-II
- Managing Data in Stata-III
Week 4
- 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
- Extraction in Stata-I
- Extraction in Stata-II
- Combining Datasets in Stata-I
- Combining Datasets in Stata-II
- Review of Commands
Week 6
- 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
- Introduction to Qualitative Variables
- Binary Response Model-I
- Binary Response Model-II
- Binary Response Model-III
- Binary Response Model-IV
Week 8
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Roorkee
- Department
- Humanities and Social Sciences
- Teacher
- Prof. Pratap C. Mohanty
- Level
- Undergraduate
- Language
- English
- Subjects
- Society and politics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed