The hardest part of running a data training session is rarely the material, pacing, or expectation setting.
It is often the first ten minutes, when a room full of people open their laptops and find out whether the tools and the files in front of them actually work. I have taught enough Excel, Python, SQL, and Power BI sessions to know that this moment influences how the whole day feels.
A room that gets to work in the first five minutes will trust you for the rest of it. A room that watches a third of its people fight an activation prompt, a blocked install, or a connection that will not open spends the morning uneasy and behind, and you spend it doing tech support instead of teaching.
So before any session I run, I want a tech check, and I want it done early.
The trainer almost never controls the environment
This is the part that catches people new to corporate delivery off guard. When something is broken on a managed laptop, the instructor usually cannot do anything about it. We do not have admin rights on the client machines, we cannot change a tenant setting, and we certainly cannot open a port on someone’s firewall. What actually happens is that the problem gets routed to an internal IT or technical support team, and that handoff is where the tech check clicks or doesn’t.
IT teams are busy, and a vague request earns a vague response. A note that says “can you make sure everyone has Python?” drifts to the bottom of a queue and sits there. A specific list of what to confirm, with the platform named and the permissions spelled out, gives them something they can act on and close.
Most IT teams want a ticket-shaped artifact before they will move, and that is reasonable, because that is how their work gets prioritized and tracked. A good tech check is really just that artifact. It turns a fuzzy worry into a short set of yes-or-no confirmations that someone can run down in an afternoon.
Specific beats comprehensive
When I sit down to write one of these, the temptation is to try to anticipate every possible failure. I have learned to resist that. Every corporate environment has its own quirks. You will meet locked-down banks where nothing installs without a change request, bring-your-own-device shops where every machine is different, virtual desktops where nothing you install survives a reboot, regional IT teams who each read the same policy a little differently, and proxy servers that block the one resource your demo depends on. No checklist survives contact with a real environment unchanged.
That is fine, because anticipating every workaround was never the point. The point is to open the conversation with enough specificity that IT can tell you fast where the real problems are. You are writing the opening move that surfaces the missing license, the firewall rule, or the one Mac user who cannot run Power BI Desktop, while there is still time to fix it.
The handful of things that account for most rough starts
A few checks earn their place every single time, so I lead with them.
For Excel, I confirm the version and whether learners are on desktop, web, or a mix, because the same ribbon looks different across builds and a feature the course leans on may simply not be there. When the materials use Power Query, I add one more: confirm the source files sit in an accessible, decompressed folder. Power Query wants a real path, and if the data is still inside a zip or a temporary preview window, the refresh fails in a way that looks like a content problem when it is really a location problem.
For Power BI, the first thing I check is the one that catches the most people, which is that Power BI Desktop runs only on Windows. Any Mac learners need a plan before the roster is final. After that it is the same Power Query point, since Get Data runs the same engine, so the sources have to live somewhere real and reachable rather than zipped or temporary.
For Python, the most common stall is package installation, where a machine has Python but cannot reach the sources the course depends on. I confirm the environment learners will use, whether that is Anaconda, a notebook, VS Code, or a browser-based setup, and whether the packages are reachable or pre-installed. I also confirm the sample data has been extracted to a real folder learners can browse to. Code reads a file by its path, and if that file is still sitting inside a zip or a synced placeholder, the path will not resolve and the exercise stops on line one.
For SQL, almost everything depends on infrastructure I cannot see. The dialect in the materials has to match the engine learners connect to, whether that is Snowflake, SQL Server, Postgres, or something else. The sandbox has to be provisioned and loaded with the sample data, and the training network has to be able to reach the database in the first place. That last one is the item people overlook most often, because the credentials work and the server exists, yet the room simply cannot get to it.
A checklist you can download and keep
To make this easier on myself and on the teams I work with, I built the whole thing into a guide, with a section per tool and a companion checklist for each one. I treat them as living documents. Every time a new environment teaches me something, the note goes into the relevant checklist, so the next session starts a step ahead of the last.
I built them right into Word because those travel anywhere, but the format is the least important part. Make a copy, turn it into a fillable form, paste it into an email, or make it a line in your project tracker. The questions are what matter, and they hold up no matter how you send them.
Run it early
If there is one habit worth building, it is running the tech check at least a week out, and ideally two. Every blocker you find has a lead time attached. A missing license might be a same-day fix, a firewall change might take a few days of approvals, and a Mac-versus-Windows problem might need a whole virtual machine arranged. The earlier you surface these, the more calmly everyone can solve them, instead of improvising while a room full of people watches a frozen screen.
A tech check will not catch everything. It will turn the most common failures into a short conversation you have before the session rather than a crisis you manage during it. That trade is worth the half hour it takes to send the document, every time.
Planning a training?
A tech check will not catch everything. But it will turn the most common failures into a short conversation you have before the session rather than a crisis you manage during it. That trade is worth the half hour it takes to fill out the document, every time.
If you are planning a data training session and want help making sure the class is built around the environment your team actually uses, you can read more about how I work with organizations here: