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Mastering Large Scale Unit Level Data with STATA
02:50
Mastering Large Scale Unit Level Data with STATA
02:50
Lecture 01: Introduction to Data
02:50
Lecture 02: Introduction to Unit Level Data
02:50
Lecture 03: Understanding Unit Level Data from NSSO
02:50
Lecture 04: Understanding Unit Level Data from IHDS
02:50
Lecture 05: Understanding Unit Level Data from NFHS
02:50
Lecture 06: Review of Sample Techniques I
02:50
Lecture 07: Review of Sample Techniques II
02:50
Lecture 08: Sample Size
02:50
Lecture 09: Sample Size Determination I
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Lecture 10: Sample Size Determination II
02:50
Lecture 11: Introduction to STATA
02:50
Lecture 12: Exploring Data in STATA
02:50
Lecture 13: Managing Data in STATA I
02:50
Lecture 14: Managing Data in STATA II
02:50
Lecture 15: Managing Data in STATA III
02:50
Lecture 16: Questionnaire Design
02:50
Lecture 17: Tabulation and Creation of New Variables in STATA I
02:50
Lecture 18: Tabulation and Creation of New Variables in STATA II
02:50
Lecture 19: Tabulation and Creation of New Variables in STATA III
02:50
Lecture 20: Variable and Value Labels
02:50
Lecture 21: Extraction in STATA I
02:50
Lecture 22: Extraction in STATA II
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Lecture 23: Combining Datasets in STATA I
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Lecture 24: Combining Datasets in STATA II
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Lecture 25: Review of Commands
02:50
Lecture 26: Factor Analysis with STATA I
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Lecture 27: Factor Analysis with STATA II
02:50
Lecture 28: Linear Regression Analysis in STATA I
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Lecture 29: Linear Regression Analysis in STATA II
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Lecture 30: Linear Regression Analysis in STATA III
02:50
Lecture 31: Introduction to Qualitative Variables
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Lecture 32: Binary Response Model I
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Lecture 33: Binary Response Model II
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Lecture 34: Binary Response Model III
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Lecture 35: Binary Response Model IV
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Lecture 36: Introduction to Panel Data
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Lecture 37: Panel Data Models
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Lecture 38: Pooled Cross Sectional Data
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Lecture 39: Construction of Panel Data
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Lecture 40: Analysis of Panel Data in STATA
02:50
Final Exam - Mastering Large Scale Unit Level Data Analysis
Mastering Large Scale Unit Level Data Analysis

Understand the methods for constructing panel data for analysis.

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