selflearn/Data Analytics.txt at master · the-code-teller/selflearn · GitHub

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Course 2: Data Analytics with Python

Teacher Name: Prof. A Ramesh

Teacher Designation: Assistant Professor at the Department of Management Studies at Indian Institute of Technology Roorkee.

Course Description: I am looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and I hope that students will learn how we can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models.

Lectures:

Data Analytics with Python
    Link:   https://www.youtube.com/embed/4SJ7bEILPJk


Lec 1, Introduction to Data Analytics
     Link:  https://www.youtube.com/embed/YZf5q-ICf8Y

Lec 2, Python Fundamentals -I
    Link:  https://www.youtube.com/embed/HMAf_dSJujM

Lec 3, Python Fundamentals -II
    Link:  https://www.youtube.com/embed/zcvetGj_FSY

Lec 4, Central Tendency and Dispersion - I
    Link:  https://www.youtube.com/embed/1MiT06JFNo4

Lec 5, Central Tendency and Dispersion - II
    Link:  https://www.youtube.com/embed/6lQn1hdG43o

Lec 6, Introduction to Probability-I
    Link:  https://www.youtube.com/embed/yr7zgeJ_XTA

Lec 7, Introduction to Probability-II
    Link:  https://www.youtube.com/embed/oYRKXOsgPEM

Lec 8, Probability Distribution - I
    Link:  https://www.youtube.com/embed/CU0XDuT3Qew

Lec 9, Probability Distribution - II
    Link:  https://www.youtube.com/embed/xY-5a0YFuRs

Lec 10, Probability Distributions - III
    Link:  https://www.youtube.com/embed/HRjNiUdKqmU

Lecture 11, Python Demo for Distribution
    Link:  https://www.youtube.com/embed/7inQUia4r60