# Data Analytics with Python | NPTEL | Week 1 Assignment Solutions

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

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

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

Q3. State true or False: Statement: Data can be numerical and categorical but cannot be continuous or discrete

a) True
b) False

Q4. Which of the following is not an example of Ratio Data?

a) Height
b) Year
c) Age
d) Weight

Q5. Which of the following is a command to have a message appear on the screen?

a) print
b) Input
c) Write
d) Msg

Data Analytics with Python NPTEL Week 1 Assignment Solutions

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

Q7. Median is not applicable to

a) Ordinal
b) Interval
c) Nominal
d) None of the above

Q8. State True or false: Statement: data can be generated by machines but not by humans.

a) True
b) False

Data Analytics with Python NPTEL Week 1 Assignment Solutions

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

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

### 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

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

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

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

Data Analytics with Python NPTEL Week 1 Assignment Solutions

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

Q6. Which of the following is not a measure of dispersion?

a) Skewness
b) Kurtosis
c) Range
d) percentile

Q7. State the following true or false?
Statement: Bimodal Data sets contains two modes.

a) True
b) False

Data Analytics with Python NPTEL Week 1 Assignment Solutions

Q8. Bar Charts are used for:

a) Continuous data
b) Categorical data
c) Both of these
d) None of these

Q9. Median is not applicable to:

a) Ordinal data
b) Interval data
c) Nominal data
d) None of these

Q10. State true or false:
Statement: Arithmetic mean is not applicable for ordinal or nominal data

a) True
b) False

Data Analytics with Python NPTEL Week 1 Assignment Solutions

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