Interview Q&A / Data Science

INTERVIEW Q&A · 56 QUESTIONS

Data Science interview questions

Statistics, pandas, cleaning data and exploratory analysis for analyst and data science roles.

  1. How do you check whether data is normally distributed?

    Look first: a histogram and a Q-Q plot, where points hugging the straight line suggest normality. Then optionally confirm with a test such as Shapiro-Wilk, remembering that large samples reject for tiny, harmless deviations.

    IntermediateQuick answer1 min read
  2. What does the exponential distribution model?

    The exponential distribution models the waiting time until the next event when events arrive randomly at a constant rate. It is memoryless: the time already waited does not change the remaining wait.

    IntermediateQuick answer1 min read
  3. What is the Poisson distribution, and what kind of data does it model?

    Poisson models the number of events in a fixed interval of time or space when events occur independently at a constant average rate. It has one parameter, the rate lambda, which is both its mean and its variance.

    IntermediateQuick answer1 min read
  4. Why are incomes and prices right-skewed, and why does a log transform help?

    Such values grow by percentages rather than fixed amounts, so many small effects multiply and produce a long right tail (log-normal shape). Taking the log turns multiplication into addition and usually makes the data close to symmetric.

    IntermediateQuick answer1 min read