Are there any topics that come up repeatedly with students?

[kumartk]

I am reminded of the principle of pivot tables in Excel vs. Sheets from Google, then the aforementioned understanding of relative references when working with VBA and the related difference between the VBA, DAX or M languages, which we partially discuss in the course.

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«Master M365 Copilot like a pro»

Peter Jankovič
Automation Senior Engineer at Orange Slovakia

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Programs
«Advanced Excel»

Jan Kudělka
Data Analyst & Data Quality Specialist at Heureka Group

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Do you have any funny "filming stories" from past runs of your course? Did anything interesting happen?
Probably if one of the participants doesn't mute their microphone and we get into the "broadcast". (laughter)

Students learn to practically master advanced Excel functions in your courses. But what does tutoring bring to you?
In short, the opportunity to pass on something I master myself to others,honduras phone number data who will gain skills that suit them, which fulfills me (even if I couldn't make a living doing it alone).

As part of my preparation, it also forces me to read up on the things we discuss in the lessons, in more detail, so that I can convey them as best as possible. So, I often learn something that I didn't know before. And last but not least, I often learn something new during the lessons themselves or when correcting homework.

Where do you think the field of data analysis is headed? Will Excel still play a major role in this area in the future?
Generally, these are terms like automation, big data, real-time analytics, artificial intelligence, cloud computing, data management, etc. (I'm sure I've forgotten something). I don't like to predict the future, I think it will depend a lot on the extent to which work will be automated in general, how Excel itself will develop, and how people will adopt other tools.

Today, thanks to tools like ChatGPT or others, we can already perform analysis purely by entering data directly into them and we no longer need a tool like Excel for this (although this also brings additional challenges).

On the other hand, I think that the general spread of the tool among people will ensure that Excel will remain key for basic data analysis. However, it depends on how much data we have to analyze, what form it is in, how good we are at Excel, etc. So I assume that it will still play a certain role, although certainly smaller than in the past.