![]() ![]() Sometimes simple data science interview questions like the above can catch you off-guard, make sure you are prepared with such questions. Here are Data Analyst interview questions and answers for freshers as well as experienced data analytics candidates to get their dream job. Marketing Data Analyst Interview Questions & Answers How do you define Big Data When someone has trouble understanding your data model, how do you. Solutions include using a linear algorithm and using parameters such as maximal depth. Overfitting occurs when non-parametric and non-linear methods are used. When too much data is used the model learns from the noise and inaccurate data as well, resulting in the inability of the model to categorize the data accurately. Situational questions like this one measure your problem-solving skills, communication skills and ability to resolve difficult situations. Overfitting: A statistical model is overfitted when a lot of data is used to train it. How would you work with a difficult stakeholder As a business analyst, you will likely deal with many different personalities occupying various positions. It can be avoided if more data is used and the number of features is reduced by using feature selection. ![]() Underfitting can ruin the accuracy of the machine learning model. Identify the business question you’d like to answer. The statistical model in underfitting is extremely weak in identifying the relationship in the data and thus, unable to identify any underlying trends. ![]() Answers should include identifying a business problem, selecting the appropriate data. Underfitting occurs when less training data is provided. Candidates should describe, in detail, their method of data exploration. Underfitting: Underfitting means that the statistical model does not fit the existing data set. ![]()
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