Essential Six Sigma for Management Consultants

Essential Six Sigma for Management Consultants, available at $74.99, has an average rating of 4.5, with 79 lectures, based on 204 reviews, and has 1434 subscribers.

You will learn about How to conduct fast and efficiently analyses during Six Sigma projects What is Six Sigma How to define the problem you want to solve What are SIPOC, CTQ, and the voice of customers How to use Fishbone Diagram How to identify the things causing the problem How to conduct analysis of data in Excel Essential Linear Regression in Excel How to find and manage potential improvements What is Random Variable and Normal Distribution This course is ideal for individuals who are Management Consultants or Business Analysts or Financial Controllers or Analysts working in PMO It is particularly useful for Management Consultants or Business Analysts or Financial Controllers or Analysts working in PMO.

Enroll now: Essential Six Sigma for Management Consultants

Summary

Title: Essential Six Sigma for Management Consultants

Price: $74.99

Average Rating: 4.5

Number of Lectures: 79

Number of Published Lectures: 78

Number of Curriculum Items: 79

Number of Published Curriculum Objects: 78

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

How to conduct fast and efficiently analyses during Six Sigma projects
What is Six Sigma
How to define the problem you want to solve
What are SIPOC, CTQ, and the voice of customers
How to use Fishbone Diagram
How to identify the things causing the problem
How to conduct analysis of data in Excel
Essential Linear Regression in Excel
How to find and manage potential improvements
What is Random Variable and Normal Distribution

Who Should Attend

Management Consultants
Business Analysts
Financial Controllers
Analysts working in PMO

Target Audiences

Management Consultants
Business Analysts
Financial Controllers
Analysts working in PMO

What is the aim of this course?

Consulting firms are hired very often to help optimize processes and improve the quality of the products delivered. One of the frameworks used is the so-called Six Sigma which tries to find the root cause of problems using simple statistical analysis. In this course, I will show you the essential things that you should know about Six Sigma that may come in handy during consulting projects.

In the course you will learn the following things:

What is Six Sigma
How to define the problemyou want to solve
How to identifythethings causing the problem
How to conduct in Excel analysis of data related to Six Sigma projects
How to find and managepotential improvements

This course is based on my 15 years of experience as a consultant in top consulting firms and as a Board Member responsible for strategy, performance improvement, and turn-arounds in the biggest firms from Retail, FMCG, SMG, B2B, and services sectors that I worked for. I have carried out or supervised over 90 different performance improvement projects in different industries that generated a total of 2 billion in additional EBITDA. On the basis of what you will find in this course, I have trained in person over 100 consultants, business analysts, and managers who now are Partners in PE and VC funds, Investment Directors and Business Analysts in PE and VC, Operational Directors, COO, CRO, CEO, Directors in Consulting Companies, Board Members, etc. On top of that my courses on Udemy were already taken by more than 224 000 students including people working in EY, McKinsey, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.

I teach through case studies, so you will have a lot of lectures showing examples of analyses, and tools that we use. To every lecture, you will find attached the Excel files as well as additional presentations, and materials shown in the lectures. Therefore, as a part of this course, you will also get a library of ready-made analyses that can, with certain modifications, be applied by you or your team in your work.

Why have I decided to create this course?

Tools and approaches used in Six Sigma can be extremely useful during certain consulting projects. Most books and courses will flood you with tons of methods that you can use. This may lead to huge frustration during consulting projects as you will have problems with choosing the right method or tool. Therefore, I have decided to create this course that will help students understand or refresh the essential concepts and toolsthat they need during consulting projects, devoted to using Six Sigma to improve processes. The course will give you the knowledge and insight into real-life case studies that will make your life during a consulting project much easier. Thanks to this course, you will know what and how to do during consulting projects. You will master how to analyze data and draw conclusions from the analyses.

To sum it up, I believe that if you want to become a world-class Management Consultant or Business Analyst you have to have a good understanding of essential Six Sigma tools. That is why, I highly recommend this course to Management Consultants or Business Analysts, especially those that did not finish Math or Physics. The course will help you become an expert in process improvement on the level of McKinsey, BCG, Bain, and other top consulting firms.

In what way will you benefit from this course?

The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve the speed with which you understand, and analyze businesses. There is little theory – mainly examples, a lot of tips from my own experience as well as other notable examples worth mentioning. Our intention is that thanks to the course you will learn:

What is Six Sigma
How to define the problemyou want to solve
How to identifythethings causing the problem
How to conduct in Excel analysis of data related to Six Sigma projects
How to find and managepotential improvements

You can also ask me any question either through the discussion field or by messaging me directly.

How is the course organized?

The course is divided currently into the following sections:

Introduction.We begin with a little introduction to the course as well as some general info on how the course is organized
Essential Concepts in Six Sigma.Let’s start with the essential things around Six Sigma. We will discuss what Six Sigma is and we will briefly discuss the most often-used framework – DMAIC.
Define Stage. In this section, we will discuss what you will have to do during the Define stage. We will discuss tools and frameworks used during this stage. You will learn things like SIPOC, the voice of the customer, CTQ, Fishbone Diagram, Issue tree, and 5 Why.
Measure Stage. In this section, we will discuss what you will have to do during the Measure stage. We will discuss tools and frameworks used during this stage.
Analyze Stage. The analysis phase turns raw data into conclusions. It is important to choose the right analytical techniques. Based on analyses we will be able to improve processes. In this section, we will see how this can be done in practice. You will learn things like correlation, regression analysis, comparison of averages, random variables, and normal distribution.
Improve Stage. One of the most interesting stages is the improvement stage. You know what the problem is, so now you have to come up with potential solutions and test them. In this section, we will discuss what you can do to improve the situation based on previous analysis.
Control Stage. Once you have improved certain KPIs. It’s a good idea to make sure that the progress you have made is not wasted. Therefore, you need to implement some control mechanisms. In this section, we will see how this can be achieved.
Case Study in Six Sigma.In the last section, we will try to apply the techniques we have discussed to improve the situation in a clinic.

You will also be able to download many additional resources

1. Useful frameworks and techniques

2. Analyses shown in the course

3. Additional resources

4. Links to additional presentations, articles, and movies

5. Links to books worth reading

At the end of my course, students will be able to…

How to conduct fast and efficiently analyses during Six Sigma projects
What is Six Sigma
How to define the problem you want to solve
What are SIPOC, CTQ, and the voice of customers
How to use Fishbone Diagram
How to identify the things causing the problem
How to conduct analysis of data in Excel
Essential Linear Regression in Excel
How to find and manage potential improvements
What is Random Variable and Normal Distribution

Who should take this course? Who should not?

Management Consultants and Business Analysts
Managers
Financial Controllers
Investment Analysts
Startup Founders
Project Managers
Managers responsible for Acquisitions and Mergers

What will students need to know or do before starting this course?

Basic or intermediate Excel
Basic knowledge of economics
Basic or intermediate knowledge of finance & accounting

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: A little bit about me

Lecture 3: How the course is organized

Lecture 4: How to deal with Blurry image

Lecture 5: How to reach additional resources

Chapter 2: Essential Concepts in Six Sigma

Lecture 1: Essential Concepts in Six Sigma – Introduction

Lecture 2: Six Sigma Definition

Lecture 3: What we mean by a defect

Lecture 4: DMAIC overview

Chapter 3: Define Stage

Lecture 1: Define Stage – Introduction

Lecture 2: What is the problem

Lecture 3: The Voice of Customers

Lecture 4: Needs vs Requirements

Lecture 5: CTQ (Critical to Quality)

Lecture 6: SIPOC

Lecture 7: Guess the root cause

Lecture 8: Fishbone (Ishikawa) Diagram

Lecture 9: Fishbone Diagram for shortening Service time in a Restaurant

Lecture 10: Customized Fishbone Diagram

Lecture 11: 5 Whys

Lecture 12: Issue tree – Introduction

Lecture 13: Issue tree – Examples

Lecture 14: Issue tree – Logistics

Lecture 15: Issue tree – Retail

Lecture 16: Issue tree – FMCG

Chapter 4: Measure Stage

Lecture 1: Measure Stage – Introduction

Lecture 2: What you want to measure

Lecture 3: Data Type

Lecture 4: Define Sources of Data

Lecture 5: Data Collection Plan

Lecture 6: Data Collection Plan – Example for the Restaurant Chain

Chapter 5: Analyze Stage

Lecture 1: Analyze Stage – Introduction

Lecture 2: What analysis method you should use?

Lecture 3: Correlation Analysis

Lecture 4: Correlation Analysis – Restaurant Chain – Data Available

Lecture 5: Correlation Analysis – Restaurant Chain – Analysis Tool Pak

Lecture 6: Correlation Analysis – Restaurant Chain – Results

Lecture 7: Introduction to Random Variables

Lecture 8: Random Variables

Lecture 9: Random Variables in Excel – Introduction

Lecture 10: Random Variables in Excel – Examples

Lecture 11: Normal Distribution

Lecture 12: Standard Deviation

Lecture 13: Conclusions from Normal Distribution

Lecture 14: Simple Regression Model – Introduction

Lecture 15: Simple Regression Model – Example

Lecture 16: Regression Analysis – Data Available

Lecture 17: Regression Analysis – Restaurant Chain

Lecture 18: Comparison of Averages

Lecture 19: Comparison of Averages – Restaurant Chain – Data Available

Lecture 20: Comparison of Averages – Restaurant Chain – Results

Lecture 21: Chart Analysis

Lecture 22: Testing as a form of Analysis

Lecture 23: Testing – Restaurant Chain

Chapter 6: Improve Stage

Lecture 1: Improve Stage – Introduction

Lecture 2: Definition of a Funnel Analysis

Lecture 3: Definition of Funnel Analyses in Testing

Lecture 4: Funnel Analyses in Testing – the Process

Lecture 5: How you can find ideas worth testing

Lecture 6: Ranking of Ideas in Fashion – Case Introduction

Lecture 7: Ranking of Ideas in Fashion – Data Avaialble

Lecture 8: Ranking of Ideas in Fashion – Ranking and Self-checkout

Lecture 9: Ranking of Ideas in Fashion – Cost Benefit Analysis

Lecture 10: Analysis of Tests results in Fashion – Case Introduction

Lecture 11: Analysis of Tests results in Fashion – Data Available

Lecture 12: Analysis of Tests results in Fashion – Solution

Chapter 7: Control Stage

Lecture 1: Control Stage – Introduction

Lecture 2: Zero defect rule

Lecture 3: Poka Yoke in the Office

Chapter 8: Case Study in Six Sigma

Lecture 1: Eyes Surgery Clinic – Case Introduction

Lecture 2: Eyes Surgery Clinic – Data Available

Lecture 3: Eye surgery – Analysis of Averages

Lecture 4: Eye surgery – Correlation Analysis

Lecture 5: Eye surgery – Regression – Dummy Variables (Part 1)

Lecture 6: Eye surgery – Regression – Results (Part 2)

Lecture 7: Eye surgery – Regression – Forecasting (Part 3)

Lecture 8: Confirm or refute the Hypotheses

Chapter 9: Conclusions

Lecture 1: Bonus Lecture

Instructors

Asen Gyczew
Expert in performance improvement, turnaround and startups

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 24 votes
4 stars: 62 votes
5 stars: 114 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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