Statistical Modeling Explained using Python

Comprehensive Course Description: Have you ever wanted to build a simple, easy and efficient Statistical Model for your business?

Course curriculum

1. Course Introduction
2. Instructor
3. AI Sciences
4. Course Outline
1. Module Intoduction
2. Overview
3. Summary Statistics
4. Average Types
5. Mean
6. Median
7. Median Example
8. Mode
9. Case Study For Average
10. IQR
11. Variance
12. Standard Deviation
13. Averages in Python
14. Std Deviation and Variance in Python
15. IQR in Python
1. Module Introduction
2. Hypothesis Testing Overview
3. Terminologies in Hypothesis Testing
4. Null Hypothesis
5. Alternate Hypothesis
6. Test Statistics
7. P-Value
8. Critical Value
9. Level of Significance
10. Case Study 1
11. Case Study 2
12. Calculations for Python
13. Steps of Hypothesis Testing
14. Code Outcomes
15. Calculation of Z in Python
16. Norm Function
17. P Value Python
1. Module Introduction
2. Covariance and Correlation
3. Correlation
4. Regression
5. Correlation and Covariance in Python
6. Entering Input
7. Linear Regression Results
1. Module Overview
2. Motivation for Multiple Regression
3. Formula for MR
4. Preparing the Data
5. Multiple Regression in Python