Data Analytics Interview Questions | Eklavya Online

Data Analytics Interview Questions

Take a few minutes to explain how you would estimate how many tourists visit Paris every May.

Many interviewers ask you this type of behavioral questions to see an analyst’s thought process without the help of computers and data sets. After all, technology is only as good and reliable as the people behind it. In your answer include: how you identified the variables, how you communicated them, and ideas you had to …

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What tools or software do you prefer using in the various phases of data analysis and why?

Although you might think you should have experience with as many tools as possible to ace this question, this is not the case. Each company uses specific data analysis tools, so it’s normal that your expertise is limited to those. Of course, if you have worked for a large number of companies, you’re bound to …

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Describe a time when you had to persuade others. How did you get buy-in?

The trick to this question is to demonstrate that you not only persuaded others of a decision, but that it was the right decision. As a data analyst intern at my last company, we didn’t really have a modern means of transferring files between coworkers. We used flash drives. It took some work, but eventually …

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Can you share details about the largest data set you’ve worked with? How many entries and variables did the data set comprise? What kind of data was included?

Working with large datasets and dealing with a substantial number of variables and columns is important for a lot of hiring managers. When answering the question, you don’t have to reveal background information about the project or how you managed each stage. Focus on the size and type of data. Example Answer “I believe the …

Can you share details about the largest data set you’ve worked with? How many entries and variables did the data set comprise? What kind of data was included? Read More »

Explain what is collaborative filtering?

Collaborative filtering is a simple algorithm to create a recommendation system based on user behavioral data. The most important components of collaborative filtering are users- items- interest. A good example of collaborative filtering is when you see a statement like “recommended for you” on online shopping sites that’s pops out based on your browsing history.

Explain “Normal Distribution.”

One of the popular data analyst interview questions. Normal distribution, better known as the Bell Curve or Gaussian curve, refers to a probability function that describes and measures how the values of a variable are distributed, that is, how they differ in their means and their standard deviations. In the curve, the distribution is symmetric. …

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What is the main difference between overfitting and underfitting?

Overfitting – In overfitting, a statistical model describes any random error or noise, and occurs when a model is super complicated. An overfit model has poor predictive performance as it overreacts to minor fluctuations in training data. Underfitting – In underfitting, a statistical model is unable to capture the underlying data trend. This type of …

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What is a hash table collision? How can it be prevented?

This is one of the important data analyst interview questions. When two separate keys hash to a common value, a hash table collision occurs. This means that two different data cannot be stored in the same slot. Hash collisions can be avoided by: Separate chaining – In this method, a data structure is used to …

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