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Automate Finance Tasks In Excel Course

Who should attend

Finance staff who want to automate repetitive tasks in Excel; streamline month-end processes, cut manual month-end effort, reduce errors, and speed up reporting. The benefits include:

Learning Objectives

Attendees will learn how to automate typical repetitive tasks in finance such as reconciling purchase orders with invoices and creating the month-end reports.

Course Content

The course has three modules:

The Excel formula language

The Excel formula language provides calculations and uses functions such as SUM. It is very powerful, and much improved over the last few years. The course will cover some typical tasks that finance staff face and show how to automate these with formulas and functions, for example:

Excel Tables

Excel tables are very useful whenever our Excel spreadsheets contains data in tabular format (arranged in rows and columns). Tables allow us to write formulas that do not need to change when the data expands or shrinks, for example if the data is updated on a daily basis. They also allows us to write formulas and build pivot tables more easily.

Use Generative AI and Copilot in Excel

Copilot in Excel is an AI assistant that can help you automate tasks, write formulas and build tables and pivot tables. If it is available to most attendees on the course, we will cover its use and capabilities.

If Copilot is not available to most attendees, the course will use whatever is the preferred AI assistant e.g. ChatGPT, Claude, Gemini, etc.

Course Length

1 day

Pre-requisites

Basic Excel knowledge, for example gained in by attendance of the Excel foundation course.

Snapshots from the course exercises

Excel automation

Using Excel formulas to automate tasks

Note: There is a separate course for data preparation with Power Query in Excel

The techniques covered in this course often go hand-in-hand with data preparation techniques, for example to clean up data before it is used in the month-end reports. Note that there is a separate course for data preparation with Power Query in Excel.