CS3352 Foundations of Data Science
Important Questions
Unit 1
1 i)Explain the benefits of data science
ii)List the facets of data with example
2. Briefly explain the steps in data science process with diagram
3. Briefly explain the architecture of Data Mining
4. Briefly explain the architecture of Data warehouse
5. Explain briefly the need for Data Science with real time application
6.How do you set the research goal, retrieving data and Data preparation process in Data Science
process
7. How do you set the research goal, retrieving data and Data preparation process in Data Science
process
8. . Explain the Data exploration ,data modeling and presentation process in Data Science
9. Explain briefly above Normal curve.
Unit 2
1. Explain the different types of frequency distribution with example.
2. Specify the real limits for the lowest class interval in this frequency distribution
3. Analyze how graph can be used to represent qualitative and quantitative data?
4. Suppose the IQ score have a bell shaped distribution with a mean of 100 and standard deviation of 15 then calculate the following,
(i) What percentage of people should have an IQ score between 85 and 115 .
(ii) What percentage of people should have an IQ score between 70 and 130
(iii) What percentage of people should have an IQ score more than 130
(iv) A person with an IQ score greater than 145 is considered as genius. Does the empirical rule support this statement
Unit 3
1.How correlation coefficient can be calculated for the quantitative data?
2. Explain the different type of regression analysis in detail.
3. Briefly explain in detail standard error of estimate.
4. Explain about regression towards mean in detail.
Unit 4
1.Briefly explain the basics of numpy arrays with example
2.Describe about fancy indexing with example
3.Explain structured data in numpy array.
4.What is universal function? Explain clearly each function with example.
5. Explain aggregate functions with example
6.What is broadcasting and explain the rules with examples
7.Explain data objects in pandas.
8. Briefly explain the hierarchical indexing with examples
9. What is pivot table? Explain it clearly
Unit 5
1.What is matplotlib? Specify the two interfaces used by it.
2.Briefly explain about the line plot and scatter plot.
3.Explain contour plot and histogram.
4.What is 3D plotting? Explain it with example.
5.How graphical data can be projected using matplotlib? Explain with example.