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Course Curriculum

0.0 Statistics for Business Analytics & Data Science A-Z Course Details
0.0 Statistics for Business Analytics & Data Science A-Z Course Details 00:00:00
1.1 Plan of Attack
1.1 Plan of Attack 00:00:00
1.2 Continuous vs Discrete
1.2 Continuous vs Discrete 00:00:00
1.3 What is a Distribution
1.3 What is a Distribution 00:00:00
1.4 What is Standard Deviation
1.4 What is Standard Deviation 00:00:00
1.5 Normal Distribution
1.5 Normal Distribution 00:00:00
1.6 Skewness
1.6 Skewness 00:00:00
1.7 Mean, Median, Mode
1.7 Mean, Median, Mode 00:00:00
1.8 Homework
1.8 Homework 00:00:00
1.9 Homework Solution - Part 1
1.9 Homework Solution – Part 1 00:00:00
1.10 Homework Solution - Part 2
1.10 Homework Solution – Part 2 00:00:00
1.11 Extra Cantor's Diagonal Argument
1.11 Extra Cantor’s Diagonal Argument 00:00:00
2.1 Plan of Attack
2.1 Plan of Attack 00:00:00
2.2 Populations and Samples
2.2 Populations and Samples 00:00:00
2.3 Sampling Distribution
2.3 Sampling Distribution 00:00:00
2.4 Central Limit Theorem
2.4 Central Limit Theorem 00:00:00
2.5 Central Limit Theorem - Intuition
2.5 Central Limit Theorem – Intuition 00:00:00
2.6 Central Limit Theorem - Visualization
2.6 Central Limit Theorem – Visualization 00:00:00
2.7 Z-Score
2.7 Z-Score 00:00:00
2.8 Hands-On CLT - Analytics Challenge
2.8 Hands-On CLT – Analytics Challenge 00:00:00
2.9 Homework
2.9 Homework 00:00:00
2.10 Homework Solution
2.10 Homework Solution 00:00:00
3.1 Hypothesis Testing - Steps
3.1 Hypothesis Testing – Steps 00:00:00
3.2 Statistical Significance
3.2 Statistical Significance 00:00:00
3.3 Hypothesis Testing - Rejection Region
3.3 Hypothesis Testing – Rejection Region 00:00:00
3.4 Hypothesis Testing Assumptions
3.4 Hypothesis Testing Assumptions 00:00:00
3.5 Proportion Testing
3.5 Proportion Testing 00:00:00
3.6 Homework
3.6 Homework 00:00:00
3.7 Homework Solution
3.7 Homework Solution 00:00:00
4.1 What it means when you cannot reject the Null Hypothesis
4.1 What it means when you cannot reject the Null Hypothesis 00:00:00
4.2 Student's t-distribution
4.2 Student’s t-distribution 00:00:00
4.3 T-Tests
4.3 T-Tests 00:00:00
4.4 1-Tailed And 2-Tailed Tests
4.4 1-Tailed And 2-Tailed Tests 00:00:00
4.5 2-Tailed Test Exercise
4.5 2-Tailed Test Exercise 00:00:00
4.6 Warning about misuse and overuse of p-values
4.6 Warning about misuse and overuse of p-values 00:00:00
4.7 Real Life Example
4.7 Real Life Example 00:00:00
5.1 Who is Vitaly Dolgov
5.1 Who is Vitaly Dolgov 00:00:00
5.2 Pareto Principle - Part 1
5.2 Pareto Principle – Part 1 00:00:00
5.3 Pareto Principle - Part 2
5.3 Pareto Principle – Part 2 00:00:00
5.4 Pareto Principle - Part 3
5.4 Pareto Principle – Part 3 00:00:00
5.5 Trends in Analytics - Part 1
5.5 Trends in Analytics – Part 1 00:00:00
5.6 Trends in Analytics - Part 2
5.6 Trends in Analytics – Part 2 00:00:00

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