Applied Statistics and Econometrics
Offered By: NPTEL via YouTube
Course Description
Overview
Students of this course will learn the computational principles necessary to perform quantitative analysis of social sciences data. Starting from only basic statistics, the course builds up a foundation for linear regression and its application to causal inference. The course draws examples from across various disciplines of social sciences. Another course objective is to teach how to use freely available software so that students feel empowered working with real-life data.
INTENDED AUDIENCE : Students of Economics B.Sc./B.A. (Honors), M.Com. program, M.A. & Ph.D. program (in sociology and psychology disciplines) will benefit the most. The course may be helpful for engineering students who want to learn statistical methods well.
PREREQUISITES : Participant should have done mathematics at +2 level (Class XI-XII).
INDUSTRIES SUPPORT : None.
Syllabus
Applied Statistics and Econometrics - INTRO.
noc21-hs39-lec01.
noc21-hs39-lec02.
noc21-hs39-lec03.
noc21-hs39-lec04.
noc21-hs39-lec05.
noc21-hs39-lec06.
noc21-hs39-lec07.
noc21-hs39-lec08.
noc21-hs39-lec09.
noc21-hs39-lec10.
noc21-hs39-lec11.
noc21-hs39-lec12.
noc21-hs39-lec13.
noc21-hs39-lec14.
noc21-hs39-lec15.
noc21-hs39-lec16.
noc21-hs39-lec17.
noc21-hs39-lec18.
noc21-hs39-lec19.
noc21-hs39-lec20.
noc21-hs39-lec21.
noc21-hs39-lec22.
noc21-hs39-lec23.
noc21-hs39-lec24.
noc21-hs39-lec25.
noc21-hs39-lec26.
noc21-hs39-lec27.
noc21-hs39-lec28.
noc21-hs39-lec29.
noc21-hs39-lec30.
noc21-hs39-lec31.
noc21-hs39-lec32.
noc21-hs39-lec33.
noc21-hs39-lec34.
noc21-hs39-lec35.
noc21-hs39-lec36.
noc21-hs39-lec37.
noc21-hs39-lec38.
noc21-hs39-lec39.
noc21-hs39-Lec40.
noc21-hs39-Lec41.
noc21-hs39-Lec42.
Taught by
IIT Kanpur July 2018
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Statistics One
Princeton University via Coursera Intro to Statistics
Stanford University via Udacity Passion Driven Statistics
Wesleyan University via Coursera