![]() 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. Which data analyst software are you trained in What was your most difficult data analysis project Take a few minutes to explain how you would estimate how. ![]() 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. Overfitting: A statistical model is overfitted when a lot of data is used to train it. Congratulations You’ve landed an interview for a data analyst position at the perfect company. It can be avoided if more data is used and the number of features is reduced by using feature selection. In this type of screening, you’re given a whiteboard and a marker to write out your queries by hand. Underfitting can ruin the accuracy of the machine learning model. Whiteboard test: The most common type of SQL screening is the whiteboard interview. The statistical model in underfitting is extremely weak in identifying the relationship in the data and thus, unable to identify any underlying trends. Underfitting occurs when less training data is provided. Underfitting: Underfitting means that the statistical model does not fit the existing data set. ![]()
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