.Cells For Beginners

Let’s learn the Excel VBA .cells technique

Click here to download the STARTER file used in the series.

Click here to download the COMPLETED file used in the series.

The Excel VBA .Cells technique is incredibly powerful – and slightly confusing! Learn it and use it with this series of four videos.


In the first video, we deal with the basic concept and apply .cells to select a single cell. The .cells technique uses numbers to reference cells in the spreadsheet; this makes sense for rows (we are used to using numbers to refer to them) but less so for columns. So, we first use an =column formula to show how Excel can reference columns using numbers. Cool!

After opening up the VBA editor, we attempt a simple application of .cells. Chris explains the basic cells(a,b) concept where ‘a’ determines the number of rows down, and ‘b’ the number of columns across. Armed with this concept, you can use .cells to select a cell in the spreadsheet. Remember to try different combinations – it should feel like you are ‘playing’ with the code; this really is the best way to build confidence.

Finally, we introduce the idea of the ‘anchor point’. By integrating a cell reference before .cells (eg. Range(“A1”).cells(1,1)), we can ‘anchor’ the cells technique anywhere on the spreadsheet. Chris demonstrates this by using A1 as an anchor point. Those experienced with .offset will notice a subtle but important difference in the referencing here, which Chris explains in the video.

Hopefully you are beginning to feel the power of the .cells technique! How did you get on, and what applications have you found for .cells in your work? Please leave a comment.


Having learned the basic concept in video 1 (above), we explore a more complex application in video 2. We witness what Chris terms ‘Poetry in Motion’ – spreadsheet cells and VBA code working together to create dynamic functionality. A profound capability indeed – but how does it work in this context?

We are familiar with the .cells(rows, columns) basic construct. In the first video, we used ‘hard-coded’ values, inputted in the VBA editor, in the rows / columns components, to select cells. But we can do better than that – nobody wishes to access the VBA editor every time they need to tweak a function! In the second video, we substitute the ‘hard-coded’ values (which are best avoided in Excel VBA) for cell references.

What does this do? It means that we can control the selected cell *from the spreadsheet*, with no need to open the VBA editor at all! This interplay between the spreadsheet and VBA editor is what Chris terms dynamic functionality; it is a feature of many powerful VBA routines. In the video, Chris sets up the mechanism and does some testing and experimentation (‘play’) to build confidence in its robustness.

Ah, Poetry in Motion … 🙂


Video 1 – 08/03/19 – https://youtu.be/x_PCdMlO41M
Video 2 – 22/03/19 – https://youtu.be/tlmFmcimIwU
Video 3 – 05/04/19
Video 4 – 19/04/19

Playlist link:

These introductory videos will be supported by ‘long-play’ application videos (below) showing how to apply the technique to real-world problems. These will be viewable in the series playlist when released.


Click here to download the STARTER file used in the video.

Click here to download the COMPLETED file used in the video.

This video is a viewer request (thank you to Hugo) and an example of the power of the VBA .cells technique.

In the video, we combine .cells with two different kinds of loops to get a mind-boggling amount of work done at the click of a button.

The briefing asks for every sixth row to be copied to a different sheet for analysis. At the beginning of the video, Chris puts together the main elements of the routine (.cells, a loop, conditional statement), and introduces the VBA Mod function to identify every sixth row on the worksheet. Two integer variables are used to control position: they synergise beautifully with .cells to create the required mechanism.

Next, we explore how to delete ‘unwanted’ rows. Chris gets in a coding tangle and, in the end, implements two different loops to get the job done. The second loop uses Do Until to repeat an instruction until an empty cell is found, ie. until the bottom of the dataset. Though the code is functional, it is CPU-intensive, and takes a few seconds to execute. We conclude that moving target data to another area can be preferable to asking VBA to delete rows.

We hope this application video helps you feel the power of the VBA .cells technique. What have you managed to do using .cells? Leave a comment on the YouTube channel, we would love to hear from you!

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