Field of studies Data Scientist (studies in English) - WSB University - Faculty in Gliwice (Akademia WSB - Wydział Zamiejscowy w Gliwicach), WSB Gliwice (Gliwice) - Study Bachelor's and Master's in English in Poland

1. A manager asks you why sales have dropped. Where do you start?

Pin down the question, form some hypotheses and test them against the data. Make a few charts and see what turns up. Say it’s probably seasonal.

2. Your model performs brilliantly on training data but poorly on new data. What do you do?

Recognise overfitting, simplify the model, use cross-validation and check for leakage between the datasets. Try other algorithms at random. Call it done – the training scores look great.

3. How do you feel about statistics?

It’s my foundation – distributions, tests and uncertainty keep me from jumping to conclusions. I know the basics and let libraries handle the rest. It’s the hardest part of working with data for me.

4. You find that two variables are strongly correlated. How do you interpret it?

Cautiously – I check whether it’s causal or whether a hidden factor is at play, and think about how to test it. Assume one drives the other, but flag my doubts. Announce a discovery – the numbers don’t lie.

5. You’ll be reading research papers, writing reports and presenting your analyses in English, working in teams with people from many countries. How does that sound?

Great – I already read machine learning papers in English, and presenting results to an international team is good preparation for the job. Code and papers in English are fine, but presenting stresses me out. I’d rather study in my own language.

6. You need to present your findings to a board with no background in statistics. How do you go about it?

Tell a story with the data – clear takeaways, clean charts and concrete recommendations. Show every table and metric so nothing gets left out. Send them the notebook – it’s all in there.

7. A model used in recruitment rejects candidates from one group more often than others. What do you do?

Examine the data and features for bias and propose ways to reduce it. Flag it, though I’m not sure how to fix it. The model just reflects the data, so it’s not my problem.

8. On a placement, you get to pick a project. Which one do you go for?

Predicting customer churn from real, messy data. Analysing a ready-made, clean dataset from a course. One that doesn’t involve any coding.

9. How do you find a way forward when you don’t know how to tackle a problem?

Read papers and docs, try a few approaches on a small sample and compare the results. Find a ready-made solution and copy it. Put it aside until someone gives me a hint.

10. What motivates you most to pursue a Master’s degree in Data Scientist?

The chance to answer important questions with data, statistics and machine learning – and turn the results into real decisions. The popularity of the role and good job prospects. I’m not sure it’s for me

Data Scientist
(field of studies: Computer Science)

⇑Data Scientist at WSB Gliwice

⇑Test: Is Data Scientist the right fit for you?

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Data Scientist(field of studies: Computer Science)

⇑Data Scientist at WSB Gliwice

⇑Test: Is Data Scientist the right fit for you?

⇑Definitions and quotes

Data Scientist
(field of studies: Computer Science)