Report automation tool
Deliverable: A workbook that takes a raw export, cleans it, builds a formatted summary with a PivotTable and chart, and saves a dated copy — all from one button, with errors reported clearly.
Course
Excel automation taught as programming rather than as macro recording, so the tools you build keep working when the data changes and somebody else opens the file.
6 modules · 2 months
Deliverable: A workbook that takes a raw export, cleans it, builds a formatted summary with a PivotTable and chart, and saves a dated copy — all from one button, with errors reported clearly.
Deliverable: A userform that captures records, validates every field before writing, refuses malformed input with a useful message, and appends to a structured table.
Deliverable: A macro that opens every file in a folder, extracts the same range from each, and consolidates them into one sheet with a source column, handling a missing or malformed file without stopping.
Every student gets placement assistance — that is what 100% placement assistance means. It is support for all, not a job for all. We do not promise a specific salary, a specific number of interviews, or placement at any named company, and you should be wary of anyone who does.
Almost everybody arrives having recorded a macro once and watched it break the following week.
It breaks because the recorder writes down exactly what you did to exactly the cells you touched — row 2 to row 847, that sheet, that file. Change the number of rows and it either misses data or writes over something. This is not a flaw you can work around by recording more carefully.
So the first module is reading recorded code and understanding why it is fragile, and the rest of the course is writing code that is not.
A macro that works when you run it, on your machine, on a file you prepared, has solved almost none of the problem.
That is why error handling gets a full module and why the projects are specified the way they are: the consolidator has to cope with a missing file, the userform has to refuse bad input with a message a colleague can act on, and the report tool has to be safe to run twice. This is the part that separates a course exercise from something you can actually hand over.
Real Excel fluency. Lookups, PivotTables, and a sense of how a workbook should be structured.
You do not need any programming — that is taught here from variables upward. But VBA automates Excel work, and automating something you cannot yet do by hand means writing code to produce a result you cannot check. If you are not there yet, take Advanced Excel first; it is the shorter road to the same place.
When the data outgrows a workbook, or when the job has to run somewhere other than a desktop, VBA is the wrong tool and we will say so.
Python and Power BI take over at that boundary, and part of what this course teaches is recognising where the boundary is. Plenty of analysts use all three and choose per problem, which is the position worth reaching.
Questions
No. The second module covers variables, conditions, loops and procedures from scratch. What you do need is real fluency in Excel itself — formulas, lookups and PivotTables — because VBA automates Excel work and you cannot automate something you cannot yet do by hand.
For work that lives inside Excel and has to be handed to colleagues who only have Excel, yes — VBA ships with the application, needs no installation and no permission from IT. Python is the better tool for large data and for anything outside a workbook. Most analysts end up using both, and we will say which one fits a problem you bring in.
A recorded macro repeats exactly what you did, against exactly the cells you touched. It breaks the moment the data has a different number of rows. This course starts by reading recorded code and then teaches you to write it properly, which is the difference between a macro that works once and a tool that survives the next quarter.
Yes, with caveats you will learn to handle — macro security settings, trusted locations and file formats all matter. The last module covers exactly this, because a tool that only runs on your machine has not really solved the problem it was built for.
Three details is all we need. A course advisor will call you back.
The Excel that offices actually run on — lookup logic, PivotTables, Power Query pipelines, dashboards and enough VBA to automate the work you repeat every month.
Database work for the office — designing tables that hold up, querying them properly, and building forms and reports colleagues can use without breaking anything.
Power BI taught as a data modelling tool rather than a chart menu — star schemas, relationships and DAX first, because that is what separates a report that scales from one that breaks.
A structured path from spreadsheets to SQL, Power BI and Python, built around the four things a data analyst is actually paid to do — pull the data, clean it, analyse it and explain it.
Next step
Tell us what you want to learn and we will help you pick the right course, batch and mode.