This set of MCQ(multiple choice questions) focuses on the Data Analytics with Python NPTEL Week 1 Assignment Solutions.
You should practice these questions to improve fundamentals of Data Analytics with Python needed for various interviews (like company interview, campus interview, walk-in interview), entrance exams, placements and other competitive exams. All the questions in this particular section are based on only “Data Analytics with Python NPTEL Week 1 Assignment Solutions“.
Course layout
Week 1: Basics of Python Spyder
Week 2 : Introduction to probability
Week 3 : Sampling and sampling distributions
Week 4 : Hypothesis testing
Week 5 : Two sample testing and introduction to ANOVA
Week 6 : Two way ANOVA and linear regression
Week 7 : Linear regression and multiple regression
Week 8 : Concepts of MLE and Logistic regression
Week 9 : ROC and Regression Analysis Model Building
Week 10 : c2 Test and introduction to cluster analysis
Week 11 : Clustering analysis
Week 12 : Classification and Regression Trees (CART)
NOTE: You can check your answer immediately by clicking show answer button. Moreover, this set of “Data Analytics with Python NPTEL Week 1 Assignment Solution” contains 10 questions.
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Data Analytics with Python NPTEL Week 1 Assignment Solutions
Q1. Statement: Descriptive Analytics, is the conventional form of Business Intelligence and data analysis.
a) True
b) False
Answer: True
Q2. Which of the following is not an example of predictive analytics?
a) Linear regression
b) Time series analysis and forecasting
c) Bar Graphs
d) Data mining
Answer: Bar Graphs
Q3. State true or False: Statement: Data can be numerical and categorical but cannot be continuous or discrete
a) True
b) False
Answer: False
Q4. Which of the following is not an example of Ratio Data?
a) Height
b) Year
c) Age
d) Weight
Answer: Year
Q5. Which of the following is a command to have a message appear on the screen?
a) print
b) Input
c) Write
d) Msg
Answer: print
Q6. What is the output from this print() function call: print( ‘$100 $200 $300’.count(‘$’), ‘$100 $200 $300’.count(‘$’, 5, 10), ‘$100 $200 $300’.count(‘$’, 5) )
a) 3 1 0
b) 3 1 1
c) 3 1 2
d) 3 1 3
Answer: 3 1 0
Q7. Median is not applicable to
a) Ordinal
b) Interval
c) Nominal
d) None of the above
Answer: Nominal
Q8. State True or false: Statement: data can be generated by machines but not by humans.
a) True
b) False
Answer: False
Q9. Which one of the following is not a classification of Data Analytics?
a) Diagnostic analytics
b) Deceptive analytics
c) Predictive analytics
d) Prescriptive analytics
Answer: Deceptive analytics
Q10. For getting 2nd, 4th & 7th row of a datafile “df”in Python programming, we can write:
a) df.loc[[2,3,5]]
b) df.loc[[1,3,6]]
c) df.iloc[2,4,7]
d) None of the above
Answer: None of the above
Previous Year Data Analytics with Python NPTEL Week 1 Assignment Solutions
Q1. State True or false:
Statement: Data can be generated by machines but not by humans.
a) True
b) False
Answer: b) False
Q2. Which one of the following is not a classification of Data Analytics?
a) Diagnostic analytics
b) Deceptive analytics
c) Predictive analytics
d) Prescriptive analytics
Answer: b) Deceptive analytics
Q3. State True of false:
Statement: Nominal scale is the lowest level of measurement and ratio scale is the highest level of measurement.
a) True
b) False
Answer: a) True
Q4. Consider the following statements –
Statement A: With iloc, we can pass in the negative value.
Statement B: With loc, we can pass in the negative value.
a) A and B are correct
b) Both are false
c) A is correct B is false
d) B is correct A is false
Answer: c) A is correct B is false
Q5. For getting 4th, 5th and 7th row of a datafile “df” in Python programming, we can write:
a) df.loc[[3,4,6]]
b) df.loc[[4,5,,7]]
c) df.iloc[3,4,6]
d) None of these
Answer: a) df.loc[[3,4,6]]
Q6. Which of the following is not a measure of dispersion?
a) Skewness
b) Kurtosis
c) Range
d) percentile
Answer: d) percentile
Q7. State the following true or false?
Statement: Bimodal Data sets contains two modes.
a) True
b) False
Answer: a) True
Q8. Bar Charts are used for:
a) Continuous data
b) Categorical data
c) Both of these
d) None of these
Answer: b) Categorical data
Q9. Median is not applicable to:
a) Ordinal data
b) Interval data
c) Nominal data
d) None of these
Answer: c) Nominal data
Q10. State true or false:
Statement: Arithmetic mean is not applicable for ordinal or nominal data
a) True
b) False
Answer: a) True
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