University of Cape Town Data Science with Python Readiness Test Survey

The test will assess your competencies in mathematics, statistics, and understanding of programming languages.

Please note: answering the questions below incorrectly does not bar you from registering for the course.

Should you choose to participate in this readiness test, please note that the information collected from and about you via the aforesaid test may be used to obtain insights for market research purposes, to improve and develop our data-related online short courses. All information submitted by you will be processed in accordance with our privacy policy.

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* 1. What is your full name?

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* 2. What type of data would you use for supervised learning?

Ordered Data

Unlabeled Data

Labeled Data

Unordered Data

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* 3. What type of data would you use with logistic regression?

Continuous

Dichotomous

Temporary

Numeric

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* 4. What type of operation would you use linear regression for?

Summation

Classification

Clustering

Predictive analysis

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* 5. What does the K in KNN indicate?

The type of graph

The number of data points to assess against

The Kings method

The number of data points in the dataset

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* 6. Is a python list mutable?

Yes

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* 7. In Python3.7 how do you add an item to the end of a list?

.append(item)

.add(item)

.insert(0, item)

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* 8. In Python3.7 what is the index of the first element in a tuple?

-1

“A”

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* 9. Do you understand what differentiation is?

Yes

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* 10. Have you ever used version control software? (GIT, SVN, Mercurial)?

Yes

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* 11. Using Python3.7: what result does {1,2,3,4}.difference({2,5,6}) give?

An error

{1, 3, 4}

{1,2,2,3,4,5,6}

{1,2,3,4,5,6}