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Data Analysis in Python for Lean Six Sigma Professionals
Rating: 4.3 out of 5(67 ratings)
334 students

Data Analysis in Python for Lean Six Sigma Professionals

Perform Six Sigma Data Analysis using Python like Data Scientists - No Programming Exp Needed - Download Source Files
Last updated 2/2026
English

What you'll learn

  • Learn Lean Six Sigma Data Analysis in Python
  • Get Step by Step Procedure for all Six Sigma Analysis is covered
  • No Programming Experience Needed. Course will start with Python installation
  • One Full Fledged Lean Six Sigma Case Study with Solutions
  • Download all Python Source Files for all the analysis

Course content

8 sections31 lectures4h 40m total length
  • Introduction3:13

    This is an intro lecture on Data Analysis in Python for Lean Six Sigma Professionals

  • Six Sigma Data Analysis covered in Python in this Course3:41

    Learn the tools for Lean Six Sigma Data Analysis in Python

  • Introduction to Python11:02

    Introduction to Python for Lean Six Sigma Data Analysis

Requirements

  • Prior knowledge of the Six Sigma Analysis tools is needed.
  • If you don't have Green Belt Level proficiency, then register for "Lean Six Sigma Green Belt Course with Python" course instead

Description

Why you should consider this PYTHON course?

  • As a Lean Six Sigma Professional, you are already aware how to perform Six Sigma Data Analysis & Discovery using  Minitab, Excel, JMP or SPSS

  • Data Science is a skill in demand and you have an added advantage due to your prior Six Sigma Data Analysis proficiency

  • But without able to perform all the analysis in Python, you at Big Dis-advantage

What you will Get in this Course?

  • Step-by-Step Procedure starting with Python installation to perform all the below Six Sigma Data Analysis

  • No Programing Experience Needed

  • Learn data manipulation prior to analysis

  • Exposure to various Python Packages mentioned below

  • Download all Python Source Files

  • One End to End Six Sigma Analysis Case Study

Course Curriculum

Six Sigma Tools Covered using Python

  • Data Manipulation in Python

  • Descriptive Statistics

  • Histogram, Distribution Curve, Confidence levels

  • Boxplot

  • Stem & Leaf Plot

  • Scatter Plot

  • Heat Map

  • Pearson’s Correlation

  • Multiple Linear Regression

  • ANOVA

  • T-tests – 1t, 2t and Paired t

  • Proportions Test - 1P, 2P

  • Chi-square Test

  • SPC (Control Charts - mR, XbarR, XbarS, NP, P, C, U charts)

Python Packages

  • Numpy

  • Pandas

  • Matplotlib

  • Seaborn

  • Statsmodels

  • Scipy

  • PySPC

  • Stemgraphic


Who this course is for:

  • Lean Six Sigma Professionals