Data Science Exam Prep
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Data Science Exam Prep
This section covers the foundational concepts of Data Science, including the distinction between data engineering and analytics, the types of analytical techniques, and the traits of big data. Additionally, it emphasizes...
Sample questions with model answers
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Explain the concept of Maximum Likelihood Estimation.
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Maximum Likelihood Estimation (MLE) is a method of estimating the parameters of a statistical model by maximizing the likelihood function, ensuring that the observed data is most probable under the assumed model.
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Describe the process of data manipulation using Pandas.
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Data manipulation in Pandas involves loading data into DataFrames, cleaning data, filtering, grouping, and aggregating to prepare it for analysis.
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Explain the Central Limit Theorem (CLT).
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The CLT states that the distribution of the sample means approaches a normal distribution as the sample size increases, regardless of the population's distribution.
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List and explain the types of Analytical Techniques.
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Types include Descriptive (summarizing data), Diagnostic (understanding causes), Predictive (forecasting future outcomes), and Prescriptive (suggesting actions).
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