Truth About Data: Getting Started with Lean Six Sigma Analytics

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.
Course info
Rating
(63)
Level
Beginner
Updated
Dec 19, 2016
Duration
1h 23m
Table of contents
Description
Course info
Rating
(63)
Level
Beginner
Updated
Dec 19, 2016
Duration
1h 23m
Description

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.

About the author
About the author

Craig is a recognized expert, thought leader, speaker, and bestselling author in achieving Strategic Productivity. He integrates critical truths from data science, process improvement, and leadership to transform a company’s operations into a competitive advantage.

Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Craig Gygi, and welcome to my course, Truth About Data: Getting Started with Lean Six Sigma Analytics. I'm an expert in business operations, improvement, and data, and I've worked as a Lean Six Sigma Master Black Belt, sensei, guru, trainer, thought leader, and author for many years. I'm employed as a consultant and as a senior company executive. In this course, you'll see the myths, limitations, and problems of the usual data analysis methods, and how acting on the inaccurate conclusions they provide actually makes things worse than doing nothing at all. You'll learn the correct approaches for arriving at valid insights, and you'll master simple practices for communicating quickly and powerfully with data. Some of the major topics of this course include detecting invalid data approaches used by others, limited versus global data comparisons, the nature of variation in all data and routine compared to exceptional variation, the advantages of graphical data analysis and communication, and the link between this topic and the larger area of study called Lean Six Sigma. By the end of this course you'll know how to create your own system behavior charts using Microsoft Excel. This will enable you to consistently and quickly gain valid insights and make accurate decisions with any data you have, and avoid the errors that plague all the usual data approaches. From here, you'll be confident and qualified to dive into any other course about using data, or into full Lean Six Sigma training or certification, or into any of the tools and training that are specific to your field of work. Before beginning this course, you should be comfortable with basic math operations like adding, subtracting, multiplying, and dividing, and you should be familiar with how to use these math operations in Microsoft Excel formulas. That, and a genuine desire to question your own assumptions about using data are the only prerequisites for this course. I hope you'll join me in this journey to learn how to gain valid, powerful insights with the Truth About Data: Getting Started with Lean Six Sigma Analytics course, at Pluralsight.

Valid Insight Comes from Valid Analysis
In the previous module, you learned that data can only be interpreted accurately when they are analyzed within their context. You learned about limited comparisons and how they dominate the way data are analyzed, reported, and communicated, but how they can't provide valid or accurate insights. With that foundation, in this module you'll learn more details about analyzing data. You'll see a couple of different analysis options, with their advantages and drawbacks, and I'll introduce you to the most accurate way to analyze data, a way that includes the full context of the data. The reason you gather and use data is to make a better, more accurate, more correct decision. Data are meant to trump opinion, emotion, luck, and guessing, but before you can make a decision from data, you have to analyze it. You have to go through that step, no one can avoid it. So at the heart of using data is choosing a method for analyzing your data. Even if you don't consciously choose, you still do use some method. Your mind still analyzes, and different methods produce different results. Some lead you astray, some don't provide you any useful information, and some provide insight that reveals the underlying reality you're trying to discover. Those are the analysis methods you want to use.