| 1 | Introduction to course, Course Objective and Overview of Topics | 11:11 |
| 2 | What is Analytics, Benefits from Analytics Preview | 13:07 |
| 3 | Analytics vs Reporting, Analytics Use Cases Part 1 | 16:55 |
| 4 | Analytics vs Reporting, Analytics Use Cases Part 2 | 15:45 |
| 5 | Listen from Experts on Analytics | 07:16 |
| 6 | Analytics Case Studies Part 1 | 09:29 |
| 7 | Analytics Case Studies Part 2 | 17:10 |
| 8 | Analytics Emerging Trends (Big Data) | 08:35 |
| 9 | Career in Analytics | 05:25 |
| 10 | Introduction to Statistics | 06:40 |
| 11 | Population and Sample, Descriptive and Inferential Statistics | 15:53 |
| 12 | Central Tendency and Dispersion Measures Part 1 | 18:09 |
| 13 | Central Tendency and Dispersion Measures Part 2 | 20:48 |
| 14 | Exercises using Excel | 09:05 |
| 15 | Distributions (Normal, Skewed and Uniform) | 15:42 |
| 16 | Excel Graphs with Exercises Part 1 | 10:10 |
| 17 | Excel Graphs with Exercises Part 2 | 13:40 |
| 18 | Assignments 1 and 2 | 06:36 |
| Assignment 1-2 Questions | ||
| 19 | Excel Pivots Part 1 | 16:55 |
| 20 | Excel Pivots Part 2 | 19:13 |
| 21 | Assignment 3 | 04:10 |
| Assignment 3 Questions |
| 22 | Correlation Concepts and Exercises Part 1 | 18:12 |
| 23 | Correlation Concepts and Exercises Part 2 | 20:00 |
| 24 | Regression Concepts and Exercises Part 1 | 21:23 |
| 25 | Regression Concepts and Exercises Part 2 | 16:09 |
| 26 | Assignments 4 and 5 | 01:48 |
| Assignment 4-5 Questions |
| 27 | Re-cap concepts of Dispersion | 18:16 |
| 28 | Hypothesis Testing Concepts with Examples Part 1 | 14:41 |
| 29 | Hypothesis Testing Concepts with Examples Part 2 | 20:13 |
| 30 | Multiple Regression through Exercises Part 1 | 16:11 |
| 31 | Multiple Regression through Exercises Part 2 | 15:51 |
| 32 | Multicollinearity Concept & its impact | 19:20 |
| 33 | Assignment 6 | 01:35 |
| Assignment 6 Questions |
| 34 | Logistic Regression Concepts Part 1 | 11:16 |
| 35 | Logistic Regression Concepts Part 2 | 18:20 |
| 36 | Introduction to Segmentation | 13:35 |
| 37 | Segmentation Techniques (Cluster Analysis) Part 1 | 21:10 |
| 38 | Segmentation Techniques (Cluster Analysis) Part 2 | 18:17 |
| 39 | Segmentation Techniques (Decision Tree) | 14:43 |
| 40 | Introduction to Time Series | 21:15 |
| 41 | Forecasting Techniques - Moving Average & Exponential Smoothing Part 1 | 23:07 |
| 42 | Forecasting Techniques - Moving Average & Exponential Smoothing Part 2 | 10:56 |
| 43 | Forecasting Techniques - Double and Triple Exponential Smoothing Part 1 | 13:54 |
| 44 | Forecasting Techniques - Double and Triple Exponential Smoothing Part 2 | 17:09 |
| 45 | Assignment 1 | 03:52 |
| 46 | Assignment 2 | 09:55 |
| 47 | Assignment 3 | 09:03 |
| 48 | Assignment 4 | 04:29 |
| 49 | Assignment 5 | 02:50 |
| 50 | Assignment 6 | 08:55 |
| Assignment 1-3 with solutions | ||
| Assignment 4-5 with solutions | ||
| Assignment 6 with solutions |
| 51 | Excels related to Exercises solved in the class | 00:05 |
| Graphs and Pivot Table - Excercise | ||
| Correlation & Regression - Exercise | ||
| Multiple Regression and Logistic Regression - Exercise | ||
| Time Series Forecasting - Exercise |
| Final Exam - Business Analytics |
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