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
Ratings 4.49 / 5.00
What You Will 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
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 Should Attend!
- Lean Six Sigma Professionals
