Complete Introduction to Business Data Analysis 2020

Complete Introduction to Business Data Analysis 2020   Free Tutorial Download

What you’ll learn

  • Transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools
  • Learn data analysis using easy to master drag and drop techniques – NO CONFUSING FORMULAS, macros or VBA
  • Learn 8 different techniques for DATA ANALYSIS that can be easily implemented in Excel (2010 – Office 365)
  • LIFE TIME ACCESS to course materials and practice activities from a BEST SELLING Udemy instructor
  • Learn to ask the RIGHT questions of your data using comparison, trend, ranking, variance, pareto and many other techniques
  • Learn BEST practices for data analysis and data presentation
  • Learn BEST practices for the design and setup of INTERACTIVE dashboards


  • An understanding of working with data in Excel
  • Excel (2010 – Office 365)
  • Some examples will require Excel Power Pivot and Power View – which are only available on Windows
  • Excel on Mac may not have access to all techniques


Recent reviews:

“Yes the course was absolutely good. Somebody who want to have a quick grasp or learn on more if not most of the key analysis techniques then this the place.”

“This course was very knowledgeable for me. Along with data analysis, I have also progressed from beginner to advanced stage in MS Excel. The speciality of this course is that it was a very systematically organized and also consistently progressing through the chapters with hands-on practical experience! I enjoyed this course!”

“Excellent explanation and Practice activity.It was simple, crisp and clear.”

In this course you will learn the BEST techniques and tools for turning data into MEANINGFUL analysis using Excel

This course is lead by Ian Littlejohn – an international trainer, consultant and data analyst with over 100 000 enrollments on Udemy and consistently high reviews.  Ian specialises in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI and Google Data Studio.

**** Life time access to course materials and practice activities.  ****

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.

During the course you will understand why the form of analysis is important and also provide examples of analysis using Excel.

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 in Office 365.  However the course is also suitable for:

  • Excel 2013
  • Excel 2016
  • Excel 2019

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 this course is for:

  • 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


Download  Complete Introduction to Business Data Analysis 2020  Free

https://www.dropbox.com/s/y5iifi6ubwzf4ea/[ freetuts.download ] Udemy – Complete Introduction to Business Data Analysis 2020.zip?dl=0

Password : freetuts.download

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