Answer / Km. Anuma Singh

To become a data analyst, one should have a strong foundation in statistics, mathematics, and computer programming. Familiarity with tools such as R, Python, SQL, and Excel is essential for data manipulation and analysis. Additionally, understanding of concepts like probability distributions, regression, time series analysis, and machine learning is crucial. Other important skills include problem-solving, communication, and the ability to work with large datasets.

Give a large dataset, find the median.

1 Answers   Twitter,

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Define a sql query? How do you use sql in sas, python, r languages?

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What is selection bias and why does it matter?

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Can you define data discretization?

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Can you define cluster sampling?

1 Answers  

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What is the central limit theorem and why is it important?

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Explain Examples of Data Science?

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Explain calculate distance methods briefly?

1 Answers  

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What is machine learning and how can it be used for time series analysis?

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Estimate the number of square feet pizza's eaten in US each year.

1 Answers   Goldman Sachs,

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What is the differences between univariate, bivariate and multivariate analysis?

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Implement a sorting algorithm for a numerical dataset in Python.

1 Answers   Facebook,

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