Professional Training

Data Analysis with Excel - Advanced (ICAS)

BPP Professional Education, Online (+1 locations)
Length
1 day
Price
335 GBP
Next course start
16 October, 2024 See details
Course delivery
Self-Paced Online
Length
1 day
Price
335 GBP
Next course start
16 October, 2024 See details
Course delivery
Self-Paced Online

Course description

Overview

Many of us struggle with the sheer amount of data that is available in this information age. In many cases, reports are built to present the data, but find that the end result still has a limiting structure and usability.

This one-day course provides attendees with hands-on techniques with a focus on keeping things dynamic and expandable. Covering structured references, dynamic listing techniques, scenario modelling, and through the exercises we will get to use some of the more unexplored functions and areas in Excel.

Who is this for?

The course material includes advanced features of Excel and participants will gain the maximum benefit from this course if they are already competent spreadsheet users and / or have already attended the ‘Data Analysis with Excel – Intermediate’ course. This course is designed for users who use Excel on a regular basis and are looking to further their knowledge in producing more robust spreadsheets.

At a minimum, it is assumed that participants will know how to:

  • Navigate confidently in Excel
  • Use absolute cell references (e.g. =$A$1)
  • Familiarity with nested functions, or at least have an understanding of the benefits in nesting functions together

Finance professionals

  • Data analysts
  • Spreadsheet authors
  • Excel power users
  • Finance managers
  • Decision makers
  • Financial controllers
  • Junior accountants

What will you learn?

One of the key themes for the session is to keep data sets dynamic and expandable for minimum maintenance. We explore advanced functions and more complex techniques in nesting and facilitating calculations.

  • Advanced listing techniques
    • Tricks in creating dependent lists
    • Dynamic selection tips
    • Dynamic extraction of unique values
  • Facilitating calculations
    • Dynamic and expandable named ranges
    • Multi-nested functions / expandable referencing
    • Structured table references / Table nomenclature
    • Aggregate calculation using the ‘wildcard’ technique
  • Key functions
    • DSUM / SUMPRODUCT / SUMIFS (& building conditions)
    • Lookup: OFFSET / CHOOSE / INDEX / MATCH
    • ROWS
    • INDIRECT
  • Further advanced techniques for summarising & presenting data
    • Mini Pivot Table reports
    • Fast calculations with Data Tables
    • Data modelling with Scenario Manager
  • Bonus topics:
    • Dashboard techniques to build an interactive screen
    • Simple VBA exercises to speed up processes
    • Tips and tricks in custom formatting

All exercises and project files used on the course will be available to take home.

Please read the following guidance carefully, which applies only if you are attending this course online:

  • In addition to the Online Classroom, you will need to have your own version of Excel open to complete the exercises
  • It does prove to be challenging to follow-on with the exercises using only 1 screen as you will need to be regularly switching between open windows. We recommend to either:
    • Extend from a computer to a 2nd screen - please refer to this link for guidance on how to correctly setup a second monitor https://support.microsoft.com/en-us/help/4340331/windows-10-set-up-dual-monitors or
    • Use 2 computers, or
    • Use a tablet for the online classroom and a computer for the Excel
  • Please note that our courses are based on Excel for Windows and it is recommended that you are using at least Excel 2010 or a later version. MAC users are welcome but please note that there may be some tools and functionality that will differ from what is being presented. The presenter will accommodate for MAC versions on the course.

Other related courses

Introduction to Excel

Data Analysis with Excel - Intermediate

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Upcoming start dates

1 start date available

16 October, 2024

  • Self-Paced Online
  • Online

Suitability - Who should attend?

The course material includes advanced features of Excel and participants will gain the maximum benefit from this course if they are already competent spreadsheet users and / or have already attended the ‘Data Analysis with Excel – Intermediate’ course. This course is designed for users who use Excel on a regular basis and are looking to further their knowledge in producing more robust spreadsheets.

At a minimum, it is assumed that participants will know how to:

  • Navigate confidently in Excel
  • Use absolute cell references (e.g. =$A$1)
  • Familiarity with nested functions, or at least have an understanding of the benefits in nesting functions together

Finance professionals

  • Data analysts
  • Spreadsheet authors
  • Excel power users
  • Finance managers
  • Decision makers
  • Financial controllers
  • Junior accountants

Outcome / Qualification etc.

One of the key themes for the session is to keep data sets dynamic and expandable for minimum maintenance. We explore advanced functions and more complex techniques in nesting and facilitating calculations.

Advanced listing techniques

  • Tricks in creating dependent lists
  • Dynamic selection tips
  • Dynamic extraction of unique values

Facilitating calculations

  • Dynamic and expandable named ranges
  • Multi-nested functions / expandable referencing
  • Structured table references / Table nomenclature
  • Aggregate calculation using the ‘wildcard’ technique

Key functions

  • DSUM / SUMPRODUCT / SUMIFS (& building conditions)
  • Lookup: Offset / Choose / Index / Match
  • Rows
  • Indirect

Further advanced techniques for summarising & presenting data

  • Mini Pivot Table reports
  • Fast calculations with Data Tables
  • Data modelling with Scenario Manager

Bonus topics:

  • Dashboard techniques to build an interactive screen
  • Simple VBA exercises to speed up processes
  • Tips and tricks in custom formatting

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