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Data Analytics Practice Test
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Avg score: 52% • Most missed: “Amongst which of the following is / are not a major data analysis approach?”

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data Analytics Practice Test
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25 Questions

1. The Mean Squared Error is a measure of the average of the squares of the residuals.
2. Predictive analytics involves taking historical data -
3. Error is the difference between the actual value and Predicted value and the goal is to reduce this difference.
4. A Linear Regression model's main aim is to find the best fit linear line and the ___ of intercept and coefficients such that the error is minimized.
5. For each value of the ___, the distribution of the dependent variable must be normal.
6. Amongst which of the following is / are the challenges overcome by the data strategy to make a business in a strong position -
7. Amongst which of the following is / are the features of Tableau for data analytics -
8. An advantage of using computer programs for qualitative data is that they ___.
9. A good data analytics solution includes a viable self-service ___.
10. By 2025, the volume of data will increase to,
11. Metadata and data modeling tools support the creation and documentation of models -
12. Big data analytics refers to collecting, processing, cleaning, and analyzing large datasets -
13. Amongst which of the following is / are not a major data analysis approach?
14. With reference to data, dependent and independent variables should be quantitative.
15. If the null hypothesis is false then which of the following is accepted?
16. Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.
17. Customer analytics refers -
18. To glean insights from the data, many analysts and data scientists rely on ___.
19. The Process of describing the data that is huge and complex to store and process is known as ___.
20. ___ are the basic building blocks of qualitative data.
21. Amongst which of the following is / are the applications of Linear Regression,
22. Residual plot helps in analyzing the model using the values of residues.
23. ___ refers to the ability to turn your data useful for business.
24. Amongst which of the following is / are not an example of social media?
25. The process of quantifying data is referred to as ___.

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