While many people are familiar with the basics of Excel, such as entering data into cells, formatting cells, and performing basic calculations, a vast array of features and functions are often underutilised. Microsoft offers an online course called Microsoft Excel Masterclass that you can use to learn advanced Excel skills. These advanced Excel skills include creating complex formulas, using pivot tables and charts to analyse large data sets, automating tasks using macros, and utilising add-ins to extend Excel's functionality. You can use these Excel Skills for Business development and advancing your career.

Having advanced Excel skills can provide numerous benefits in the workplace, including increased productivity, improved accuracy in data analysis, and the ability to handle complex tasks efficiently. In a personal context, advanced Excel skills can help manage personal finances, analyse data for personal projects, and organise large amounts of information.

Table of Contents

  1. Excel Features for Power Users
  2. Advanced Techniques for Data Analysis
  3. Advanced Techniques for Data Visualization
  4. Tips and Tricks for Power Users
  5. Conclusion

Excel Features for Power Users

Excel is an excellent tool that can be used to manage, analyse, and visualise data effectively. PivotTables, Power Query, Power Pivot, Macros, and VBA are advanced Excel features that can take your data analysis to a new level. PivotTables allow you to summarise and analyse large amounts of data flexibly and dynamically. Power Query allows you to import and transform data from different sources, and Power Pivot allows you to create complex data models and calculations. 

Macros and VBA allow you to automate repetitive tasks and customise Excel to suit your needs. The benefits of using these advanced features include the following:

  • Saving time and effort.
  • Analysing data more effectively.
  • Creating dynamic and interactive reports.
  • Increasing productivity.
  • Customising Excel.

By mastering these advanced features, you can unlock new insights and opportunities from your data.

Advanced Techniques for Data Analysis and Data Visualisation

In this section, we'll dive into some advanced data analysis and visualisation techniques using Excel. We'll cover how to use PivotTables, Power Query, Power Pivot, and VBA to analyse and transform data.

PivotTables:

PivotTables are a powerful tool for analysing and summarising large amounts of data. PivotTables can aggregate data by sum, count, average, and other functions. You can also use filters and slicers to drill down into your data and analyse it more thoroughly. PivotTables are a great way to create summary reports, charts, and dashboards.

Power Query:

Power Query is an advanced tool for importing and transforming data from different sources. You can use Power Query to transform it into a format that's suitable for analysis. Power Query has many transformation options, including splitting columns, merging tables, pivoting data, and aggregating values. You can also use Power Query to clean and reshape your data, removing duplicates, errors, and inconsistencies.

Power Pivot:

Power Pivot is an advanced data modelling tool that allows you to create complex calculations and relationships between tables. You can create a data model by importing data from different sources and defining relationships between tables. To perform advanced calculations, you can also create calculated columns and measures using DAX (Data Analysis Expressions) formulas. Power Pivot is a powerful tool for creating custom KPIs and dashboards.

VBA:

VBA is a programming language built into Excel, allowing you to create custom functions and automate repetitive tasks. VBA can automate tasks such as formatting, data entry, and reporting. You can also use VBA to create custom user interfaces, adding buttons and menus to Excel. VBA is a powerful tool for advanced users who want to customise Excel to suit their needs.

Conditional Formatting

This is a powerful feature in Excel that allows users to highlight important data and trends. By using conditional formatting, users can change the formatting of cells based on their values or content. Below are some examples of how to use conditional formatting:

Highlight cells that meet a certain condition: 

Select the cells you want to format, then choose Home > Conditional formatting> Highlight Cells Rules > Greater Than or Less Than. Enter the desired value and formatting.

Colour code cells based on content:

Select the cells you want to format, then choose Home > Conditional Formatting > Color Scales. Choose the desired colour scheme.

Create data bars: Select the cells you want to format, then choose Home > Conditional Formatting > Data Bars. Choose the desired colour scheme and formatting.

Tips and Tricks for Power Users

You can use the following tips to optimise your workbooks on Excel and reduce the workload on your system. 

Optimising Excel Workbooks

Working with large datasets in Excel can sometimes cause the workbook to become slow or unresponsive. Here are some tips for optimising your Excel workbook for better performance:

Use Tables

Convert your data range into an Excel Table by selecting the range and pressing Ctrl + T. Tables are more efficient than ranges, making it easier to sort, filter, and analyse data.

Minimise Formulas

Complex formulas can slow down your workbook, especially if recalculated frequently. Use helper columns or break up complex formulas into smaller parts to improve performance.

Conclusion

Overall, this article highlights the power and potential of Excel as a tool for data analysis and financial modelling. From Pivot Points to Optimising your Excel workbooks, this article covers everything. Explore and master Excel's many features and capabilities by learning these advanced techniques.