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Craig Gygi
If you're using data, you could be causing harm with the approach you've been taught for analyzing data. This course teaches you the truth about how to analyze data correctly so that you can gain valid insights and make powerful, accurate decisions. Software required: Microsoft Excel.
Read more
If you're using data, you could be causing harm with the approach you've been taught for analyzing data. This course teaches you the truth about how to analyze data correctly so that you can gain valid insights and make powerful, accurate decisions. Software required: Microsoft Excel.
Read more
If you're using data, you could be causing harm with the approach you've been taught for analyzing data. This course teaches you the truth about how to analyze data correctly so that you can gain valid insights and make powerful, accurate decisions. Software required: Microsoft Excel.
Every day, in every field, data is becoming more and more important. While you may think you know how to gain insights from data, you're most likely using flawed approaches that lead you to incorrect, sometimes even dangerous, conclusions. This widespread data naiveté comes from generations of invalid data practices that have become ingrained as the norm for business, government, education, media, and even engineering and science. In this course, Truth About Data: Getting Started with Lean Six Sigma Analytics, you'll first uncover the flaws in the usual data approaches. Next, you'll learn correct methods for arriving at valid insights. Finally, you'll master simple practices for communicating quickly and powerfully with data. When you're finished with this course, you'll be equipped to stand out and excel in today's increasingly data-driven world. Software required: Microsoft Excel.
Register for this course and see more details by visiting:
OpenCourser.com/course/bvuob8/truth
What's inside
Syllabus
Course Overview
The Unrecognized Problem of Data Naiveté
Data Is Only Validly Understood Within Its Context
Valid Insight Comes from Valid Analysis
Read more
Syllabus
Course Overview
The Unrecognized Problem of Data Naiveté
Data Is Only Validly Understood Within Its Context
Valid Insight Comes from Valid Analysis
Read more
Using System Behavior Charts to Validly Analyze Data
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners with no background in data analysis or Lean Six Sigma
Introduces foundational concepts and practices in data analysis using Lean Six Sigma
Empowers learners to make valid insights and informed decisions based on data
Provides practical guidance for communicating data effectively
Led by Craig Gygi, an experienced instructor in data analysis and Lean Six Sigma
May require access to Microsoft Excel software for practical applications
Save this course
Save Truth About Data: Getting Started with Lean Six Sigma Analytics to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Truth About Data: Getting Started with Lean Six Sigma Analytics with these
activities:
Review Statistics and Probability Concepts
Show steps
Reviewing these foundational concepts will provide a stronger base to stand on as you advance in the course.
Browse courses on
Statistics
Show steps
-
Review your notes from previous statistics and probability courses
-
Take practice quizzes or exams to test your understanding
-
Identify any areas where you need additional review
Review Data Analytics Concepts
Show steps
Reading foundational material before the course begins will help you build a base of knowledge to draw from when class begins.
View
Big Data: Second Edition
on Amazon
Show steps
-
Read chapters 1-3
-
Take short notes or create a visual summary of the concepts covered in the chapters
-
Think about how to apply the concepts to real-world data sets
Complete Data Analysis Online Tutorials
Show steps
Following structured tutorials will introduce you to the topic and help you understand the key concepts.
Browse courses on
Data Analysis
Show steps
-
Find online tutorials on data analysis topics that you are interested in
-
Follow the tutorials step-by-step
-
Complete the exercises and quizzes that are included in the tutorials
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a Data Analysis Study Group or Online Community
Show steps
Connecting with other learners will provide support and help you gain different perspectives on the material.
Show steps
-
Find a study group or online community that focuses on data analysis
-
Participate in discussions and ask questions
-
Share your own insights and knowledge with other members of the group
Practice Data Analysis Exercises
Show steps
Doing exercises based on what you are learning in class will help you to internalize the concepts and master new skills.
Show steps
-
Work through the practice exercises at the end of each chapter in the textbook
-
Find additional practice exercises online or in other resources
-
Try to solve the exercises without looking at the solutions
-
Review the solutions and identify any areas where you need more practice
Analyze data with Lean Six Sigma
Show steps
Practice applying Lean Six Sigma methodologies to analyze and interpret data
Browse courses on
Lean Six Sigma
Show steps
-
Gather data from a relevant source
-
Create a process map to identify data points
-
Use statistical tools to analyze the data
-
Identify trends and patterns in the data
-
Develop recommendations for improvement
Create a Data Analysis Portfolio
Show steps
Building a portfolio of your work will not only illustrate your skills to employers, but will also give you a better understanding of the material.
Show steps
-
Choose a few of your best data analysis projects
-
Write up a brief description of each project, including the problem you solved, the methods you used, and the results you achieved
-
Create a website or online portfolio to showcase your work
Start a Data Analysis Project
Show steps
Working on a project will help you gain practical experience and apply the concepts you are learning in class.
Show steps
-
Identify a real-world problem that you can solve using data analysis
-
Gather data from a variety of sources
-
Clean and prepare the data for analysis
-
Conduct data analysis to identify patterns and insights
-
Communicate your findings in a clear and concise way
Contribute to Open Source Data Analysis Projects
Show steps
Contributing to open source projects will give you real-world experience and help you build your skills.
Show steps
-
Find open source data analysis projects that interest you
-
Review the project documentation and code
-
Identify areas where you can contribute
-
Make changes to the code and submit pull requests
Review Statistics and Probability Concepts
Show steps
Reviewing these foundational concepts will provide a stronger base to stand on as you advance in the course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from previous statistics and probability courses
- Take practice quizzes or exams to test your understanding
- Identify any areas where you need additional review
Review Data Analytics Concepts
Show steps
Reading foundational material before the course begins will help you build a base of knowledge to draw from when class begins.
View
Big Data: Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Take short notes or create a visual summary of the concepts covered in the chapters
- Think about how to apply the concepts to real-world data sets
Complete Data Analysis Online Tutorials
Show steps
Following structured tutorials will introduce you to the topic and help you understand the key concepts.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online tutorials on data analysis topics that you are interested in
- Follow the tutorials step-by-step
- Complete the exercises and quizzes that are included in the tutorials
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a Data Analysis Study Group or Online Community
Show steps
Connecting with other learners will provide support and help you gain different perspectives on the material.
Show steps
Show steps
Show steps
- Find a study group or online community that focuses on data analysis
- Participate in discussions and ask questions
- Share your own insights and knowledge with other members of the group
Practice Data Analysis Exercises
Show steps
Doing exercises based on what you are learning in class will help you to internalize the concepts and master new skills.
Show steps
Show steps
Show steps
- Work through the practice exercises at the end of each chapter in the textbook
- Find additional practice exercises online or in other resources
- Try to solve the exercises without looking at the solutions
- Review the solutions and identify any areas where you need more practice
Analyze data with Lean Six Sigma
Show steps
Practice applying Lean Six Sigma methodologies to analyze and interpret data
Browse courses on
Lean Six Sigma
Show steps
Show steps
Show steps
- Gather data from a relevant source
- Create a process map to identify data points
- Use statistical tools to analyze the data
- Identify trends and patterns in the data
- Develop recommendations for improvement
Create a Data Analysis Portfolio
Show steps
Building a portfolio of your work will not only illustrate your skills to employers, but will also give you a better understanding of the material.
Show steps
Show steps
Show steps
- Choose a few of your best data analysis projects
- Write up a brief description of each project, including the problem you solved, the methods you used, and the results you achieved
- Create a website or online portfolio to showcase your work
Start a Data Analysis Project
Show steps
Working on a project will help you gain practical experience and apply the concepts you are learning in class.
Show steps
Show steps
Show steps
- Identify a real-world problem that you can solve using data analysis
- Gather data from a variety of sources
- Clean and prepare the data for analysis
- Conduct data analysis to identify patterns and insights
- Communicate your findings in a clear and concise way
Contribute to Open Source Data Analysis Projects
Show steps
Contributing to open source projects will give you real-world experience and help you build your skills.
Show steps
Show steps
Show steps
- Find open source data analysis projects that interest you
- Review the project documentation and code
- Identify areas where you can contribute
- Make changes to the code and submit pull requests
Career center
Learners who complete Truth About Data: Getting Started with Lean Six Sigma Analytics will develop knowledge and skills
that may be useful to these careers:
Financial Analyst
Financial Analyst
Financial analysts are responsible for understanding financial data and making recommendations based on insights gained from their analysis. This course can be very helpful for financial analysts because it teaches how to analyze data correctly so that valid insights can be gained. This is a critical skill for financial analysts, as they need to be able to make sound recommendations based on their analysis of financial data.
Market Researcher
Market Researcher
Market researchers are responsible for collecting, analyzing, and interpreting data about markets and customers. This course can be very helpful for market researchers because it teaches how to analyze data correctly so that valid insights can be gained. This is a critical skill for market researchers, as they need to be able to make sound recommendations based on their analysis of market data.
Data Scientist
Data Scientist
Data scientists are responsible for using data to solve problems and make predictions. This course can be very helpful for data scientists because it teaches how to analyze data correctly so that valid insights can be gained. This is a critical skill for data scientists, as they need to be able to make sound predictions based on their analysis of data.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. This course can be very helpful for statisticians because it teaches how to analyze data correctly so that valid insights can be gained. This is a critical skill for statisticians, as they need to be able to make sound inferences based on their analysis of data.
Business Analyst
Business Analyst
Business analysts are responsible for analyzing business data to identify problems and opportunities. This course can be very helpful for business analysts because it teaches how to analyze data correctly so that valid insights can be gained. This is a critical skill for business analysts, as they need to be able to make sound recommendations based on their analysis of business data.
For more career information including salaries, visit:
OpenCourser.com/course/bvuob8/truth
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Truth About Data: Getting Started with Lean Six Sigma Analytics.
Comprehensive guide to Lean Six Sigma, a methodology that helps businesses improve their processes and reduce waste. It would be particularly useful for learners who are new to Lean Six Sigma or who want to learn more about its basic principles. This book reads at a 6th grade level and may be more useful as additional reading.
Concise and practical guide to Lean Six Sigma. It would be particularly useful for learners who are looking for a quick and easy way to learn about the methodology. This book reads at a 7th grade level and may be more useful as additional reading.
Focuses on how to apply Lean Six Sigma to service businesses. It would be particularly useful for learners who work in service industries or who are interested in learning more about how to improve service processes.
Comprehensive guide to Lean Six Sigma for Black Belts. It would be particularly useful for learners who are preparing for the Black Belt certification or who want to learn more about the advanced concepts of Lean Six Sigma.
Save
Classic work on lean manufacturing. It would be particularly useful for learners who want to learn more about the origins and philosophy of Lean Six Sigma.
Provides a detailed overview of the Toyota Production System, which is the foundation of Lean Six Sigma. It would be particularly useful for learners who want to learn more about the practical application of Lean Six Sigma in a manufacturing setting.
Provides a comprehensive overview of statistical quality control methods. It would be particularly useful for learners who want to learn more about the statistical tools and techniques used to improve quality in manufacturing and service processes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bvuob8/truth
Share
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Time
83 hours
Level
Introductory
Via
Pluralsight
Instructor
Craig Gygi
Language
English
Good to know
Suitable for learners with no background in data analysis or Lean Six Sigma
Introduces foundational concepts and practices in data analysis using Lean Six Sigma
Empowers learners to make valid insights and informed decisions based on data
Provides practical guidance for communicating data effectively
Led by Craig Gygi, an experienced instructor in data analysis and Lean Six Sigma
May require access to Microsoft Excel software for practical applications
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