Data Analysis in Python for Lean Six Sigma Professionals

Data Analysis in Python for Lean Six Sigma Professionals

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

  
  

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

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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

Rating: 4.5

Level: Intermediate Level

Duration: 4.5 hours

Instructor: Nilakantasrinivasan Janakiraman