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Python for Lean Six Sigma Professionals

Python for Lean Six Sigma Professionals

KEEP YOURSELF UP TO DATE. DON’T MISS OUT BIG TIME ON DATA SCIENCE JUST BECAUSE YOU DON’T KNOW PYTHON

Why you should consider this PYTHON course?

• You are already exposed to Lean Six Sigma Data Analysis & Discovery using other tool such as Minitab, Excel, JMP or SPSS
• There is no need to emphasize the importance of Data Science in today’s Job Market
• You have an added advantage because of prior Six Sigma Data Analysis proficiency
• But Python is the most popular and trending tool for Data Science now
• IN CURRENT SCENARIO, if you are NOT able use Python to do Data Analysis, it’s obvious what you are missing!

What to Expect in this Course?

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

Pre-requisites

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 instead)

Duration

1 Month