Linear | Logistic | Regression | Free Online Course

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Module 1: Maximum Estimations and Regression

Module 1: Introduction to Data Analytics and Python Fundamentals

Introduction to Data Analytics and Python Fundamentals - Learning Outcomes

Introduction to Data Analytics

Fundamentals of Python

Central Tendency and Dispersion

Introduction to Data Analytics and Python Fundamentals - Lesson Summary

Module 2: Introduction to probability

Introduction to probability - Learning Outcomes

Introduction to Probability

Probability Distribution

Introduction to Probability - Lesson Summary

Module 3: Sampling and Sampling Distribution

Sampling and Sampling Distribution - Learning Outcomes

Python Demo for Distributions

Sampling and Sampling Distribution

Distribution of Sample Means, Population and Variance

Confidence Interval Estimation

Sampling and Sampling Distribution - Lesson Summary

Module 4: Hypothesis Testing

Hypothesis Testing - Learning Outcomes

Hypothesis Testing

Errors in Hypothesis Testing

Hypothesis Testing - Lesson Summary

Module 5: Two Sample Testing

Two Sample Testing - Learning Outcomes

Two Sample Testing

ANOVA

Post Hoc Analysis - Tukey's Test

Two Sample Testing - Lesson Summary

Module 6: Diploma in Data Analytics with Python - First Assessment

Diploma in Data Analytics with Python - First Assessment

Module 7: Linear Regression

Linear Regression - Learning Outcomes

Randomized Block Design

Two Way ANOVA

Linear Regression

Linear Regression - Lesson Summary

Module 8: Regression Model Analysis

Regression Model Analysis - Learning Outcomes

Estimation and Prediction of Regression Model Residual Analysis

Multiple Regression Model

Categorical Variable Regression

Regression Model Analysis - Lesson Summary

Module 9: Maximum Estimations and Regression

Maximum Estimations and Regression - Learning Outcomes

Maximum Likelihood Estimations

Logisitic Regression

Relationship between Linear and Logistic Regression Model

Maximum Estimations and Regression - Lesson Summary

Module 10: Regression Analysis

Regression Analysis - Learning Outcomes

Confusion matrix and Receiver Operating characteristics

Performance of Logistics Model

Regression Analysis Model Building

Regression Analysis - Lesson Summary

Module 11: Chi Square Test

Cluster Analysis

Chi Square Test - Learning Outcomes

Chi Square Test of Independence

Chi Square Goodness of Fit Test

Chi Square Test - Lesson Summary

Module 12: Diploma in Data Analytics with Python - Second Assessment

Diploma in Data Analytics with Python - Second Assessment

Course assessment

Diploma in Data Analytics with Python - Final Assessment

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