What are some common data analytics interview questions I should prepare for?
Some common questions include: 1. What is data cleaning? 2. Explain the difference between supervised and unsupervised learning. 3. How do you handle missing data?
Can you give me an example of a data cleaning process?
Sure! A data cleaning process might involve identifying and correcting inaccuracies, removing duplicates, and filling in missing values using techniques like mean imputation.
What tools should I be familiar with for data analytics?
You should be familiar with tools like Excel, SQL, Python, R, and data visualization tools like Tableau or Power BI.
How important is statistical knowledge in data analytics?
Statistical knowledge is crucial in data analytics as it helps in understanding data distributions, making inferences, and validating results.
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