Data Analysis in Python for Lean Six Sigma Professionals

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Nilakantasrinivasan Janakiraman

4:35:25

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1 - Welcome

1 - Introduction.mp4

03:13

2 - Six Sigma Data Analysis covered in Python in this Course.mp4

03:41

3 - Introduction to Python.mp4

11:02

2 - Getting started with Python

4 - Installing Python.mp4

07:20

5 - Getting Started with Jupyter I.mp4

08:16

6 - Getting Started with Jupyter II.mp4

12:34

7 - Data Types in Python.mp4

13:39

8 - Python Packages.mp4

07:04

9 - Numpy Basics.mp4

12:50

9 - numpy-practice.html

9 - numpy-practice.zip

10 - GB-Pandas-Data-Frame.xls

10 - Pandas Basics.mp4

16:30

10 - pandas-practice.html

10 - pandas-practice.zip

11 - Data Clean up using Pandas.mp4

14:34

11 - pandas-practice.html

11 - pandas-practice.zip

3 - Business Statistics

12 - Descriptive Statistics in Python.mp4

05:31

12 - Descriptive-Stats.html

12 - Descriptive-Stats.zip

12 - Descstats.xlsx

13 - Descriptive-Stats.html

13 - Descriptive-Stats.zip

13 - Plotting Histogram in Python.mp4

13:13

14 - Computing Confidence Interval in Python.mp4

04:59

14 - Confidence-Interval.html

14 - Confidence-Interval.zip

15 - Normality.xlsx

15 - Normality Tests in Python.mp4

11:52

15 - Normality-practice.html

15 - Normality-practice.zip

4 - Graphical Analysis Methods

16 - Boxplot-practice.html

16 - Boxplot-practice.zip

16 - Creating Box Plots in Python.mp4

10:21

17 - Stem Leaf Plots in Python.mp4

08:49

17 - stemleafplot.html

17 - stemleafplot.zip

5 - Assessing Process Capability

18 - Performing Process Capability in Python.mp4

07:07

18 - ProcessCapa.xlsx

18 - Process-Capa.html

18 - Process-Capa.zip

6 - Performing Hypothesis Tests

19 - Hypo-Practice.html

19 - Hypo-Practice.zip

19 - Perform 1 t Test in Python.mp4

05:37

19 - SLA1t.xlsx

20 - 2tandpairedt.xlsx

20 - Hypo-Practice.html

20 - Hypo-Practice.zip

20 - Perform 2 t Test in Python.mp4

09:17

21 - Hypo-Practice.html

21 - Perform Paired t Test in Python.mp4

07:29

22 - ANOVA.xlsx

22 - Hypo-Practice.html

22 - Perform ANOVA in Python.mp4

10:59

23 - ChiS.xlsx

23 - Chisquare.html

23 - Chisquare.zip

23 - Perform Chisquare test in Python.mp4

08:48

24 - Perform 1P Test in Python.mp4

07:27

24 - proportion-test.html

24 - proportion-test.zip

25 - Perform 2P Test in Python.mp4

04:25

25 - proportion-test.html

26 - Creating Scatter Diagram in Python.mp4

10:38

26 - Regression.xlsx

26 - Scatter-Plots.html

26 - Scatter-Plots.zip

27 - Computing Correlation Coefficient in Python.mp4

09:08

27 - Correlation.html

27 - Correlation.zip

28 - Regression.html

28 - Regression.zip

28 - Regression in Python.mp4

12:47

7 - Statistical Process Control

29 - Plotting Control Charts in Python.mp4

16:15

29 - SPC.html

29 - SPC.zip

29 - pyspc-NP.csv

29 - pyspc-P.csv

29 - pyspc-U.csv

29 - pyspc-X.csv

29 - pyspc-XbarR.xlsx

29 - pysp-C.csv

8 - Clear Calls Case Study

30 - Case-Study-Data-XY-for-python-GB.xls

30 - ClearCalls Case Study Overview Python Data Analysis Source Files with solution.html

30 - ClearCalls-Case-Study-2018.pdf

30 - GB-Case-in-Python.html

30 - GB-Case-in-Python.zip

31 - Bonus Lecture Details of our other courses.html

Description

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

What You'll 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
One Full Fledged Lean Six Sigma Case Study with Solutions
Download all Python Source Files for all the analysis

Who is this for?

Lean Six Sigma Professionals

More details

Description
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 usingÂ 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
Pearsonâ€™s Correlation
Multiple Linear Regression
ANOVA
T-tests â€“ 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

Who this course is for:
Lean Six Sigma Professionals

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Neil is the author of 2 Books - "The Master Book for Lean Six Sigma Green Belt Certification - Comprehensive Study Guide for Certification Exams & Job Interviews" & "The Little Book on Customer Experience". Being a Certified Six Sigma Master Black Belt, Neil has led several change initiatives & projects with approved financial benefits of over $20MN, of which $4Mn was executed by him personally. He has demonstrated results in unconventional areas such as sales, HR, technology, risk & compliance, program office, administration & security, procurement, etc.He has led transformation programs of Global Banks & Large Manufacturing firms.He is the founder of www.SixSigmaCertificationCourse.Com, a forum for Lean Six Sigma and Canopus Business Management Group.He is passionate about coaching executives on execution orientation and educating young professionals & students in Lean Six Sigma.

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