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

Url: View Details

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


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