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Author: Admin | 2025-04-28
CS3352 FOUNDATIONS OF DATA SCIENCE QUESTION BANK UNIT -1 PART A 1.What is Data preparation? 2.Define Data Warehousing 3.Define Data Mining 4.DefineRegression 5.Define SVM 6.Define Data Science 7.Define Data Exploration PART B & PART C 1.Explain briefly about Data Preparation process in detail.-3 steps of data preparation like data cleaning, data integration, data transformation in detail,challenges and benefits 2. Explain briefly about Facets of data-types of data with an examples and necessary diagrams 3.Explain briefly about data mining and Data warehousing (definition, advantages,disadvantages,types,architecture) 4. Explain briefly about Data mining-Data mining definition ,types of data mining algorithms like a priority algorithm,kmeans clustering,classification,cdecision trees,support vector machine,Regression,Association rules classifier 5. Explain briefly about Steps involved on data mining same as data science process steps,benefits 4. Explain briefly about data science process 5. Explain briefly about Data exploration UNIT –2 PART A 1.Define Mean,Median Mode2.Define Quartile ranks3.Define Sample Mean Population4.Define zscore5.What is Frequency distribution problem?6.What is Cumulative, Relative frequency? 7.What is Range8.What is variance?9.Define Standard Deviation.
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