Last updated 1/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.70 GB | Duration: 4h 38m

Perform Six Sigma Data Analysis using Python like Data Scientists - No Programming Exp Needed - Download Source Files

Overview
Section 1: Welcome

Lecture 1 Introduction

Lecture 2 Six Sigma Data Analysis covered in Python in this Course

Lecture 3 Introduction to Python

Section 2: Getting started with Python

Lecture 4 Installing Python

Lecture 5 Getting Started with Jupyter I

Lecture 6 Getting Started with Jupyter II

Lecture 7 Data Types in Python

Lecture 8 Python Packages

Lecture 9 Numpy Basics

Lecture 10 Pandas Basics

Lecture 11 Data Clean up using Pandas

Section 3: Business Statistics

Lecture 12 Descriptive Statistics in Python

Lecture 13 Plotting Histogram in Python

Lecture 14 Computing Confidence Interval in Python

Lecture 15 Normality Tests in Python

Section 4: Graphical Analysis Methods

Lecture 16 Creating Box Plots in Python

Lecture 17 Stem & Leaf Plots in Python

Section 5: Assessing Process Capability

Lecture 18 Performing Process Capability in Python

Section 6: Performing Hypothesis Tests

Lecture 19 Perform 1 t Test in Python

Lecture 20 Perform 2 t Test in Python

Lecture 21 Perform Paired t Test in Python

Lecture 22 Perform ANOVA in Python

Lecture 23 Perform Chi-square test in Python

Lecture 24 Perform 1P Test in Python

Lecture 25 Perform 2P Test in Python

Lecture 26 Creating Scatter Diagram in Python

Lecture 27 Computing Correlation Coefficient in Python

Lecture 28 Regression in Python

Section 7: Statistical Process Control

Lecture 29 Plotting Control Charts in Python

Section 8: Clear Calls Case Study

Lecture 30 ClearCalls Case Study Overview & Python Data Analysis Source Files with solution

Lecture 31 Bonus Lecture: Details of our other courses

Lean Six Sigma Professionals