Description
New in 2023New Lecture added (Lecture 3) - Is Lean Six Sigma Relevant in the Age of AI and Industry 4.0 New Lecture added (Lecture 12) - Cost of Poor QualityNew Resource Added (Lecture 68) - Sample Size Cheat Sheet added in resourcesWhy you should consider the FIRST LEAN SIX SIGMA GREEN BELT CERTIFICATION COURSE USING PYTHON?There is no need to emphasize the importance of Data Science or Lean Six Sigma in today's Job MarketPython is the most popular and trending tool for Data Science nowLean Six Sigma involves a lot of Data Analysis & Statistical DiscoveryTraditionally Lean Six Sigma Data Analysis uses Minitab & ExcelIN CURRENT SCENARIO, if you are NOT learning Lean Six Sigma Green Belt Data Analysis using Python, it's obvious what you are missing! GET THE BEST OF LEAN SIX SIGMA GREEN BELT CERTIFICATION & DATA SCIENCE WITH PYTHON IN ONE COURSE & AT ONE SHOTWhat to Expect in this Course?Prepare for ASQ / IASSC CSSGB Certification 176 Lectures / 17 Hours of ContentData Analysis in Python with Step by Step Procedure for All Six Sigma Analysis - No Programming Experience NeededData Manupulation in PythonDescriptive StatisticsHistogram, Distribution Curve, Confidence levelsBoxplotStem & Leaf PlotScatter PlotHeat MapPearson's CorrelationMultiple Linear RegressionANOVAT-tests - 1t, 2t and Paired tProportions Test - 1P, 2PChi-square TestSPC (Control Charts - mR, XbarR, XbarS, NP, P, C, U charts)Python Packages - Numpy, Pandas, Matplotlib, Seaborn, Statsmodels, Scipy, PySPC, StemgraphicFull Fledged Lean Six Sigma Case Study with Solutions (in Python Scripts)More than 100 Resources to Download (including Python Source Files for all the analysisPractice questions - 19 Crossword puzzle questions on various six sigma topics included
