Data Analysis 101

person icon Ross Maynard

Data Analysis 101

Getting to the heart of performance data

updated on icon Updated on Oct, 2023

language icon Language - English

person icon Ross Maynard

architecture icon Business,Data Analytics,Business Intelligence

Lectures -22

Duration -2 hours


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Course Description

We accountants have some very sophisticated data analysis tools at our disposal, and it’s fun to experiment with the advanced formulae available in Excel and other programs.

However, data analysis is an iterative process and it is important to start with some simple analysis tools to highlight the key issues in the data before exploring those issues with more advanced tools.

That’s where this course – Data Analysis 101 - comes in. This course covers the four basic tools of data analysis that everyone working in an organisation should know. These four tools will help you carry out the initial filtering of performance data in order to highlight the important trends and issues. Often these tools are not covered adequately in business or finance training and this course will give you a good grounding in these simple but immensely useful analysis tools.

Advanced analysis is often difficult to understand for people who are not finance or data experts. Using simple tools to draw out the main points in performance data will improve engagement with the data and will help drive discussions about the appropriate actions to take, rather than heated discussions about what the analysis actually means.

This course will help you get to the heart of understanding the performance data in your organisation, and it will help you present that information to others in the organisation so that the decisions made, and the actions taken, address the real issues affecting performance.

I hope you enjoy the course.

Who this course is for:

  • Business managers
  • Accountants
  • CFOs
  • Accounting students
  • Finance staff


What will you learn in this course:

  • Principles of Process Management
  • An Introduction to Performance Data: Tools for Data Analysis that Works
  • Understanding Variation
  • The Control Chart: Highlighting the variation in data
  • Control Chart Special Cases
  • Interpreting the Control Chart
  • Strategies to deal with Special Cause and Common Cause Variation
  • Using Data to Drive Improvement
  • A Structure for Performance Management


What are the prerequisites for this course?

  • There are no pre-course requirements
Data Analysis 101


Check out the detailed breakdown of what’s inside the course

Data Analysis 101
21 Lectures
  • play icon Agenda and Principles of Process Management 06:28 06:28
  • play icon The Voice of the Process 04:35 04:35
  • play icon Working as One Team for Improvement 04:18 04:18
  • play icon Exercise: The Voice of the Customer 03:05 03:05
  • play icon Tools for Data Analysis 07:10 07:10
  • play icon The Pareto Chart 02:51 02:51
  • play icon The Histogram 02:45 02:45
  • play icon The Run Chart 03:47 03:47
  • play icon Exercise: Presenting Performance Data 04:42 04:42
  • play icon Understanding Variation 06:05 06:05
  • play icon The Control Chart 06:16 06:16
  • play icon Control Chart Example 04:05 04:05
  • play icon Control Chart Special Cases 06:13 06:13
  • play icon Interpreting the Control Chart 09:42 09:42
  • play icon Control Chart Exercise 07:22 07:22
  • play icon Strategies to Deal with Variation 05:38 05:38
  • play icon Using Data to Drive Improvement 13:48 13:48
  • play icon A Structure for Performance Measurement 05:59 05:59
  • play icon Data Analysis Exercise 05:39 05:39
  • play icon Course Project 03:17 03:17
  • play icon Test your Understanding 16:36 16:36

Instructor Details

Ross Maynard

Ross Maynard

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