Complete Introduction to Business Data Analysis
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Complete Introduction to Business Data Analysis

Move beyond basic reports and learn data analysis. Learn to easily turn data into information, insight and intelligence
4.5 (275 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,543 students enrolled
Created by Ian Littlejohn
Last updated 11/2016
English
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Current price: $10 Original price: $100 Discount: 90% off
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Includes:
  • 4 hours on-demand video
  • 27 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Transform Data into Insight and Intelligence
  • Learn 8 different techniques for data analysis that can be easily implemented in Excel 2010, 2013 and 2016
  • Learn to ask the right questions of your data
  • Learn data analysis using easy to master drag and drop techniques - no confusing formulas, macros or VBA
  • Learn Comparison, Trend and Ranking methods of analysis
  • Learn Contribution and Variance methods of analysis
  • Learn advanced analysis with Frequency and Pareto analysis
  • Learn best practices for data analysis and data presentation
  • Learn best practices for dashboards
View Curriculum
Requirements
  • An understanding of working with data in Excel
  • Excel 2010, 2013 or 2016
Description

The Complete Introduction to Business Data Analysis teaches you how to apply different methods of data analysis to turn your data into new insight and intelligence.

The ability to ask questions of your data is a powerful competitive advantage, resulting in new income streams, better decision making and improved productivity. A recent McKinsey Consulting report has identified that data analysis is one of the most important skills required in the American economy at the current time.

This course focuses on the following different methods of analysis. During the course you will understand why the form of analysis is important and also provide examples of using the analysis using Excel 2013.

The following methods of analysis are included:

  • Comparison Analysis
  • Trend Analysis
  • Ranking Analysis
  • Interactive Dashboards
  • Contribution Analysis
  • Variance Analysis
  • Pareto Analysis
  • Frequency Analysis
  • Correlations

The Complete Introduction to Business Data Analysis is designed for all business professionals who want to take their ability to turn data into information to the next level. If you are an Excel user then you will want to learn the easy to use techniques that are taught in this course.

This course is presented using Excel 2013. Excel 2010 can be used for the majority of the training exercises. Small parts of the course do use Excel Power Pivot and Power View. Please note that this course does not include any complicated formulas, VBA or macros. The course utilizes drag and drop techniques to create the majority of the different data analysis techniques.

Who is the target audience?
  • All Business people who want to turn data into information
  • Excel users who want to take their reporting and analysis to the next level
  • Students who want to learn powerful methods of data analysis
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Curriculum For This Course
Expand All 67 Lectures Collapse All 67 Lectures 04:20:40
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Introduction
5 Lectures 04:05
Section Introduction
00:00

Introduction to Data Analysis
00:58

In this lesson we discuss the overview of the course and also review the different types of data analysis that you will learn in this course.

Preview 02:57

Please download the Sales Data file to complete the activities in the course.

Download the Sales Training Data Source
00:04

Please download the Employee Master data file to complete the activities in the course.

Download the Employee Master data file
00:05
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Preparing Data for Analysis
5 Lectures 16:52
Introduction to Section
00:00

Overview of the Preparing Data for Analysis section. In this section you will learn the best practices for preparing your data for analysis.

Preview 2 pages

In this lesson you will learn the best practices for preparing data for analysis.

Preparing Data for Analysis
05:31

In this lesson you will learn to deal with common data problems that may affect your ability to do data analysis.

Common Data Problems
11:11

Please download the completed common data problems data file.

The Completed Common Data Problems Data File
00:09
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Data Analysis - Key Metrics
6 Lectures 32:05
Key Metrics Introduction Section
00:00

Introduction to creating key metric and key performance indicator calculations.

Preview 02:47

Creating key metric and key performance indicator calculations.

Preview 12:50

Creating key metric and key performance indicator calculations.

Creating Key Metric Calculations - Part 2
07:34

Key Metric Practical Activity
00:32

The completed key metric activity

Key Metrics Practical Activity
08:21
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Comparison Analysis
6 Lectures 36:54
Introduction to Comparison Analysis Section
00:00

Overview of using comparison analysis to create reports and graphs.

Preview 02:43

Using comparison analysis to create reports, graphs and tables of data analysis

Comparison Analysis - Part 1
12:29

Using comparison analysis to create reports, graphs and tables of data analysis

Comparison Analysis - Part 2
12:41

Practical Activity Comparison Analysis
00:26

The completed comparison analysis practical activity

Comparison Analysis Practical Activity
08:34
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Trend Analysis
6 Lectures 27:14
Introduction to Trend Analysis Section
00:00

In this lesson we provide an overview of the different trend analysis techniques and methods

Preview 03:49

Learn to create trend graphs and tables. Learn to apply different trend lines.

Trend Analysis - Part 1
08:16

Learn to create trend graphs and tables. Learn to apply different trend lines.

Trend Analysis - Part 2
09:56

Practical Activity Trend Analysis
00:17

In this lesson we show how to complete the trend analysis practical activity

Trend Analysis Practical Activity
04:56
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Ranking Analysis
6 Lectures 24:24
Introduction to Ranking Section
00:00

Overview of ranking analysis and discussion about how to use the techniques

Preview 02:05

Ranking analysis including Top 10 analysis techniques

Preview 09:25

Ranking analysis including Top 10 analysis techniques

Ranking Analysis - Part 2
07:24

Practical Activity Ranking Analysis
00:18

Completion of the ranking analysis activity

Practical Activity Ranking Analysis
05:11
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Interactive Dashboard Creation
4 Lectures 17:55
Introduction to Interactive Dashboards Section
00:00

How to create interactive dashboards using key metrics, comparison analysis, trend analysis and rankings

Introduction to Interactive Dashboards
00:54

How to create interactive dashboards using key metrics, comparison analysis, trend analysis and rankings

Interactive Dashboards - Part 1
10:32

How to create interactive dashboards using key metrics, comparison analysis, trend analysis and rankings

Interactive Dashboards - Part 2
06:29
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Variance Analysis
7 Lectures 25:14
Introduction to Variance Section
00:00

Download the Sales Budget Data file
00:07

Introduction and overview of variance analysis concepts

Introduction to Variance Analysis
01:59

How to use and create variance analysis calculations and analysis

Variance Analysis - Part 1
10:06

How to use and create variance analysis calculations and analysis

Variance Analysis - Part 2
06:31

Practical Activity Variance Analysis
00:21

How to complete the variance analysis practical analysis activity

Variance Analysis Practical Activty
06:09
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Contribution Analysis
6 Lectures 23:15
Introduction to Contribution Analysis Section
00:00

Introduction and explanation of contribution analysis

Introduction to Contribution Analysis
03:45

How to create different contribution analysis calculations and techniques

Contribution Analysis - Part 1
07:50

How to create different contribution analysis calculations and techniques

Contribution Analysis - Part 2
06:45

Contribution Analysis Practical Activity
00:17

How to complete the contribution analysis practical activity

Contribution Analysis Practical Activity
04:37
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Frequency Analysis
6 Lectures 20:19
Frequency Analysis Section
00:00

Introduction and overview of frequency analysis. Learn to easily create frequency histograms and groupings

Introduction to Frequency Analysis
02:45

Learn to create and analyze age groupings and histograms

Frequency Analysis - Part 1
05:57

Learn to create and analyze age groupings and histograms

Frequency Analysis - Part 2
07:18

Frequency Analysis Practical Activity
00:21

How to complete the frequency practical activity

Frequency Analysis Practical Activity
03:57
3 More Sections
About the Instructor
Ian Littlejohn
4.4 Average rating
1,218 Reviews
8,342 Students
10 Courses
Excel Business Intelligence and Power BI Trainer

Ian is a trainer that specializes in Microsoft Excel Business Intelligence tools and techniques making it easy for learners to harness the power of Excel PivotTables, PivotCharts, PowerPivot, Power Query, PowerView and Power BI.

Ian has been training learners on these powerful technologies for a number of years making it easy for the business user to easily create management reports, develop interactive dashboards and generate new insight and intelligence from business data.

Ian has over 10 years of Management Consulting experience and he brings this knowledge and skills to his training course showing Excel users how to easily create sophisticated management reports, perform data analysis and create amazing interactive dashboards without using any complex programming or specialized tools.

Ian has consulted and worked with major organizations in the Banking, Insurance, Manufacturing, Telecommunications and Logistics industries across a number of countries and continents.