Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
17 Hour(s) 43 Minute(s)
Language
English
Taught by
Dr. Nilakantasrinivasan J, Canopus Business Management Group
Rating
1 views
Course Overview
Prepare for Six Sigma Green Belt Certification & Perform Data Analysis Using Python - No Programming Experience Needed
New in 2023
New 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 Quality
New Resource Added (Lecture 68) - Sample Size Cheat Sheet added in resources
Why 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 Market
Python is the most popular and trending tool for Data Science now
Lean Six Sigma involves a lot of Data Analysis & Statistical Discovery
Traditionally Lean Six Sigma Data Analysis uses Minitab & Excel
IN 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 SHOT
What to Expect in this Course?
Prepare for ASQ / IASSC CSSGB Certification
176 Lectures / 17 Hours of Content
Data Analysis in Python with Step by Step Procedure for All Six Sigma Analysis - No Programming Experience Needed
Data Manupulation 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
Full Fledged Lean Six Sigma Case Study with Solutions (in Python Scripts)
More than 100 Resources to Download (including Python Source Files for all the analysis
Practice questions - 19 Crossword puzzle questions on various six sigma topics included
Course Content
- 24 section(s)
- 179 lecture(s)
- Section 1 Welcome
- Section 2 Getting Started With Six Sigma
- Section 3 Six Sigma Problem Solving Approach
- Section 4 Listening to Customers
- Section 5 Define Phase : Completing a Project Charter
- Section 6 Define Phase : Process Mapping Tools
- Section 7 Measure : Cause & Effect Relationships
- Section 8 Measure Phase : Measurement System Analysis (MSA) or Gage R&R
- Section 9 Measure Phase : Data Collection - Planning & Execution
- Section 10 Measure Phase: Data Sampling
- Section 11 Getting started with Python
- Section 12 Measure Phase : Introduction to Business Statistics
- Section 13 Measure Phase : Graphical Analysis Methods
- Section 14 Measure Phase: Assessing Process Capability
- Section 15 Analyze Phase : Root Cause Analysis
- Section 16 Analyze Phase : Theory of Hypothesis Testing
- Section 17 Analyze Phase : Performing Hypothesis Tests
- Section 18 Analyze Phase : Quantification of Opportunity to Improve
- Section 19 Improve Phase : Generating & Screening Solutions
- Section 20 Improve Phase: Lean Management Systems (Repeated from Section 2)
- Section 21 Improve Phase : Failure Modes & Effects Analysis (FMEA)
- Section 22 Control Phase : Statistical Process Control
- Section 23 Control Phase : Control Plan
- Section 24 Lean Six Sigma Green Belt Certification - Next Steps
What You’ll Learn
- Prepare for Lean Six Sigma Green Belt Certification, Able to perform various Lean Six Sigma Dat Analysis using Python, No Programming Experience Needed - Python Data Analysis will be covered step by step in videos, Easily solve real life business & home related problems using Lean Six Sigma Techniques
Skills covered in this course
Reviews
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HHenrik Karlsson
Overall I am pleased with the curse. It is nice to do it in your own tempo. The videos are good constructed and are quite easy to follow. However, the resources and excercises have been a bit hard to do on your own. I think they could be better constructed if they where based on new cases that has not been introduced in the videos, together with a video going over the excercise.
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AAbdulhaqq Ibrahim
This is great. Nothing short of perfection! Absolute satisfaction!
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AAbhishek Jeyanthan
The explanations by the author were quiet clear crisp. So it makes understand the concepts easily.
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EEdwin Okoronkwo
I am happy that the course uses Python open source and not Minitab. Most important data analysis are covered using Python. I am happy that the course has a case study/project. This is really a big deal as it provides a template for future projects (end-to-end). However, I did not like that the case study was not discussed in the lectures. Only attachments were provided. Explanations are clear, voice is clear. Overall really great course and I am happy that I purchased it.
