
This is an intro lecture on Data Analysis in Python for Lean Six Sigma Professionals
Learn the tools for Lean Six Sigma Data Analysis in Python
Introduction to Python for Lean Six Sigma Data Analysis
Learn the procedure to install Python for Lean Six Sigma Data Analysis
Learn to install Jupyter for Lean Six Sigma Data Analysis
Continuation of previous lecture
Learn the data types in Python for Lean Six Sigma Data Analysis
Learn the Python packages for Lean Six Sigma Data Analysis
Learn Numpy basics for Lean Six Sigma Data Analysis in Python
Learn Panda basics for Lean Six Sigma Data Analysis in Python
Learn data clean up in Pandas for Lean Six Sigma Data Analysis in Python
Learn descriptive statistics for Lean Six Sigma Data Analysis in Python
Learn to plot Histogram in Python for Lean Six Sigma Data Analysis in Python
Learn to compute confidence interval in Python for Lean Six Sigma Data Analysis
Learn Normality Test in Python for Lean Six Sigma Data Analysis
Learn to perform Process Capability in Python for Lean Six Sigma Data Analysis
Learn to perform 1t Test in Python for Lean Six Sigma Data Analysis
Learn to perform 2 t Test in Python for Lean Six Sigma Data Analysis
Learn to perform Paired t Test in Python for Lean Six Sigma Data Analysis
Learn to perform ANOVA in Python for Lean Six Sigma Data Analysis
Learn to perform Chi-square test in Python for Lean Six Sigma Data Analysis
Learn to perform 1P test in Python for Lean Six Sigma Data Analysis
Learn to perform 2P test in Python for Lean Six Sigma Data Analysis
Learn to create Scatter Diagram in Python for Lean Six Sigma Data Analysis
Learn to compute Correlation coefficient in Python for Lean Six Sigma Data Analysis
Learn to perform Regression in Python for Lean Six Sigma Data Analysis
Learn to plot Control Charts in Python for Lean Six Sigma Data Analysis
ClearCalls Case Study overview & Python Data Analysis Source Files with solution for Lean Six Sigma Data Analysis
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