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Thyssenkrupp | AI ML Training | 2025
Start Here - Tips to Finish This Course Effectively
Learn the important tips to finish this course effectively
Class Materials
Day 1 Reference Materials
Day 2 Reference Materials
Session Recordings
Day 1 Recording (407:15)
Day 2 Recording (421:43)
Quizzes
Pre-Training Assessment Link
Quiz 1 - Introduction to AI
Quiz 2 - Agentic AI
Quiz 3 - AI vs ML
Quiz 4 - Predictive Maintenance
Introduction to AI (Artificial Intelligence)
What is AI? (Learn how McKinsey explains AI)
Introduction to ML & Generative AI (Learn how Google explains ML & GenAI)
Generative AI in Nutshell (Fun take to AI)
Quiz on AI
Recommended Book for Statistics
Statistics by Deborah Rumsey
Our Favorite Tutorial Blog on Machine Learning - Very Easy To Read
Descriptive Statistics
Reference Materials Used in This Section
Stats 1 Introduction to data (13:28)
Stats 2 Types of data (7:34)
Stats 3 Data Presentation (6:48)
Stats 4 Charts & Diagrams (13:11)
Stats 5 Correlation (10:20)
Stats 6 Data Modeling (5:12)
Stats 7 Index Number (5:37)
Quiz - Descriptive Statistics
Self Practice Exercise Descriptive Statistics
Measures of Central Tendency & Dispersion
Reference Materials Used in This Section
Stats 8 Measures of Central Tendency (11:10)
Stats 9 Measures of Central Dispersion (14:55)
Stats 10 Measures of Central Dispersion (Variance) (12:48)
Probability & Bayesian Theory, Probability Distribution, Sampling and Sampling Distribution
Stats 15 Probability (13:26)
Stats 16 Computing joint & marginal probabilities (13:22)
Stats 17 Bayes’ Theorem (25:02)
Stats 18 Random Variables (12:15)
Stats 19 Probability Distribution (Discrete) (13:36)
Stats 20 Probability Distribution (Continuous) (8:34)
Stats 21 Finding Normal Probabilities (17:52)
Stats 22 Normal Distribution (14:17)
Quiz _ Probability
Stats 23 Sample, Types of sample (10:20)
Stats 24 Sampling Distribution (12:04)
Stats 25 Example of Sampling (5:21)
Quiz - Sampling Distribution
Self Practice Exercise - Sampling, Distribution
Theory of Estimation ,Testing of Hypothesis & Regression
Reference Materials Used in This Section
Stats 26 Theory of Estimation, Estimation Process,Statistical Inference (7:15)
Stats 27 Test of Hypothesis, Decision Errors, OneLevel of Significance (8:24)
Stats 28 Two-tail test, Testing of hypothesis (18:23)
Stats 29 Degrees of Freedom (8:58)
Quiz - Theory of Estimation ,Testing of Hypothesis
Stats 30 Anova (12:44)
Stats 31 Hypothesis One-Way ANOVA (14:49)
Stats 32 Two Way Anova (6:15)
Stats 33 Regression: Simple Linear & Multiple (14:48)
Stats 34 Coefficient of Determination, R-square, Adjusted R-sqare (13:58)
Stats 35 Example using Excel (18:48)
Quiz - Regression
Exercise _ Regression
Statistics Refresher Summary
Quick Reference Guide on Business Statistics Concepts
Python Installation
Anaconda Installation
Python Introduction
Introduction to Python (4:22)
Python Essentials
Python - Notebook setup and variables basics (12:26)
Python Data Processing 1.0 & 1.1 (31:30)
Python Data Processing 1.2 (17:24)
Python Data Processing 1.3 (13:02)
Python Data Processing 1.3 (20:42)
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Stats 20 Probability Distribution (Continuous)
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