NOC:Practitioners Course In Descriptive, Predictive and Prescriptive Analytics


Lecture 1 - Introduction


Lecture 2 - Analytics for Decision Making Support


Lecture 3 - Decision Needs and Analytics


Lecture 4 - Systems, Models and Modeling Process


Lecture 5 - Types of Models


Lecture 6 - Data and its Types


Lecture 7 - Overview of Probability


Lecture 8 - Statistics and Analytics (Private)


Lecture 9 - Descriptive Statistics – Graphical Tools (Private)


Lecture 10 - Frequency Distribution and Histogram


Lecture 11 - Stem and Leaf Plot


Lecture 12 - Box Plots


Lecture 13 - Business Intelligence and Analytics


Lecture 14 - Normal Distribution


Lecture 15 - Sampling


Lecture 16 - Sampling Techniques


Lecture 17 - Hypothesis Testing


Lecture 18 - Hypothesis Testing continued


Lecture 19 - Machine Learning


Lecture 20 - Correlation


Lecture 21 - Correlation continued


Lecture 22 - Regression


Lecture 23 - Analysis of Varience (ANOVA) - Part 1


Lecture 24 - Analysis of Varience (ANOVA) - Part 2


Lecture 25 - Machine Learning - Part 2


Lecture 26 - Machine Learning - Part 3


Lecture 27 - Machine Learning - Part 4


Lecture 28 - Machine Learning - Part 5