JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech III DATA ANALYTICS Previous Question Paper (January/February - 2023 - R18)
Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions. iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
Define Data Management.
Answer
Data Management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. Its primary goal is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation to maximize the benefit of the data asset.
Which source of Data is more reliable and Why?
Answer
Primary data sources are generally considered more reliable than secondary sources. This is because primary data is collected firsthand by the researcher specifically for the current investigation, ensuring the data is current, relevant, and collected under controlled conditions, whereas secondary data may be outdated, biased, or collected for a different purpose.
What are the steps involved in Analysis of Data?
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List out the features of Cloudera Impala.
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Where can be Logistic Regression concepts applied?
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Define Variable Rationalization.
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Mention the applications of Time Series Analysis.
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Name some Software to make Decision Tree.
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What is Chernoff Faces technique?
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What are the advantages of Data Visualization?
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Part B
What are the constraints and influences that will have an effect on Data Architecture Design? Explain.
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Discuss about the Data Reduction as a Data Preprocessing Step.
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What is Secondary Data? Classify the Secondary Data Sources.
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Discuss how data quality assessment can depend on the Intended Use of the data?
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List and explain the various Analytics techniques.
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Explain the various methods to identify the Gaps in the Data and their handling mechanisms.
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Discuss about the importance of Data Modeling in Business.
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What are the types of No SQL tools based on Data Models? Explain.
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What is meant by BLUE property? What are the blue properties of OLS method?
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Discuss in detail about Multinomial Logistic Regression.
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Explain the purpose of the Least Square Estimation in Regression with an example.
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Discuss in short about the following Model Fit Statistics: i) Hosmer Lemeshow Test ii) Error Matrix.
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What is Overfitting? How to Prevent Overfitting?
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Compare and Contrast between ARMA and ARIMA.
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Differentiate supervised and unsupervised learning.
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Discuss the STL approach for Time Series Decomposition.
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Demonstrate Geometric projection visualization techniques.
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List out various applications of data visualization.
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Write down steps involved in Data Visualization In Tableau.
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Explain about tag cloud visualization technique.
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