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Amazing Analytical Reporting with Microsoft Excel
Rating: 4.6 out of 5(2 ratings)
6 students

Amazing Analytical Reporting with Microsoft Excel

This is how it's done in business!
Created byLeo Drysdale
Last updated 6/2020
English

What you'll learn

  • How to create actionable insights with data originating from Excel
  • How to manage large data extracts with many rows/columns of data
  • Introduction to Pivot-tables and Pivot-table Graphs
  • Formatting Techniques to make your Excel easy to understand and clear to read
  • Learn about analytical modelling

Course content

3 sections12 lectures1h 25m total length
  • Introduction12:05

    This lecture will provide an introduction to the course and provides answers to the questions.
    - Why use Excel for analytical reporting?
    - What questions should you have when you are first given a brief?

  • What is Analytical Reporting?8:34

    This lecture will go into detail what analytical reporting is and the thought processes behind analytical reporting.

Requirements

  • An Existing basic knowledge of Excel is required
  • Willingness to learn about analytical modelling and Excel

Description

In this course, you will learn the ins-and-outs of analytical reporting through the eyes of an experienced professional analyst.
You will learn about several key aspects of reporting data and there will be step-by-step tutorials to help you create your very own analytical model that can be used to generate key insights. This course will then teach you how to use these new skills to create a presentation that displays your insights in the best possible way.

All of the techniques taught in this course is what is done in the real-world.  Many of the things taught are aspects of business that are only learned once you are in a professional environment, until now.


Mention what you learn, on this course, in a job interview and you will be sure to impress your potential future employer


It seems that many companies are moving away from Excel and using other methods such as AI (Artificial Intelligence) instead but the reality is that Excel is deeply embedded in many companies' systems and processes and it will be here for many years. It would take a multi-year plan and lots of investment to remove even the most technologically advanced teams away from Excel without even considering professions which are notoriously behind the times such as the legal and real estate industries.


Feel free to message me if you have any confusion and I will be very happy to help. Let me know, if you complete this course and then use Python to help with a project. I would love to hear how this course has helped you out.



Who this course is for:

  • Students with a basic knowledge of Excel who are looking to improve their Excel knowledge/abilities
  • Students who are thinking about a career in Data and Analytics
  • Existing Students/Analysts who work with lots of Data
  • Anyone who has an interest in how analytics works within business