YoVDO

Probability and Statistics

Offered By: NPTEL via YouTube

Tags

Statistics & Probability Courses Data Analysis Courses Algebra Courses Probability Courses

Course Description

Overview

COURSE OUTLINE: The use of statistical reasoning and methodology is indispensable in the modern world. It is applicable to every discipline, be it physical sciences, engineering and technology, economics or social sciences. Much of the advanced research in electronics, electrical, computer science, industrial engineering, biology, genetics, and information science relies increasingly on use of statistical tools. It is essential for the students to get acquainted with the subject of probability and statistics at an early stage. The present course has been designed to introduce the subject to undergraduate/postgraduate students in science and engineering.


Syllabus

Lecture 1.
Lec 2.
Ring, Field (Algebra).
Lecture 4.
Lec 5.
Lecture - 6.
Lecture -7.
Lecture - 8.
Lecture - 9.
Lecture - 10.
Lecture - 11.
Lecture - 12.
Lecture - 13.
Lecture - 14.
Lecture - 15.
Lecture - 16.
Lecture - 17.
Lecture-18.
Lecture-19.
Lecture-20.
Lecture-21.
Lecture-22.
Lecture-23.
Lecture-24.
Lecture- 25.
Lecture- 26.
Lecture- 27.
Lecture- 28.
Lecture- 29.
Lecture- 30.
Lecture- 31.
Lecture- 32.
Lecture - 33.
Lecture - 34.
Lecture - 35.
Lecture - 36.
Lecture - 37.
Lecture - 38.
Lecture - 39.
Lecture - 40.
Lecture - 41.
Lecture - 42.
Lecture - 43.
Lecture - 44.
Lecture - 45.
Lecture - 46.
Lecture - 47.
Lecture - 48.
Lecture - 49.
Lecture - 50.
Lecture - 51.
Lecture - 52.
Lecture - 53.
Lecture - 54.
Lecture - 55.
Lecture - 56.
Lecture- 57.
Lecture - 58.
Lecture - 59.
Lecture - 60.
Lecture - 61.
Lecture - 62.
Lecture - 63.
Lecture - 64.
Lecture - 65.
Lecture - 66.
Lecture - 67.
Lecture - 68.
Lecture - 69.
Lecture - 70.
Lecture - 71.
Lecture - 72.
Lecture- 73.
Lecture- 74.
Lecture- 75.
Lecture- 76.
Lecture- 77.
Lecture- 78.
Lecture- 79.


Taught by

Probability and Statistics

Tags

Related Courses

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX