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MBA Analytics Data Science Basics — practice questions

Explore 30 free Data Science Basics questions in MBA Analytics Computer Science. Open each question or exercise to read its content, reference answers and available explanation.

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Data Science Basics questions and exercises with answers

Showing questions 1–30 of 30.

A team collects, manages and analyses data to pull out useful information. That field is:Read the answer and worked solution →Early on, data science work was spread across statistics, maths, social science and:Read the answer and worked solution →An intern gathers readings on variables of interest in an orderly way. That step is data:Read the answer and worked solution →A survey records heights in centimetres. Data measured and written as numbers is:Read the answer and worked solution →Open comments describing how a customer felt are non numerical. Such data is:Read the answer and worked solution →Every row in a table holds the same four fields. That dataset is:Read the answer and worked solution →A folder holds photos, audio clips and free text with no fixed fields. That dataset is:Read the answer and worked solution →Some argue the world holds more of which kind of dataset?Read the answer and worked solution →Before analysing a pile of raw comments, a team turns them into a table. This step makes them:Read the answer and worked solution →A column in a dataset is described as a feature or a:Read the answer and worked solution →Class sizes could take any number at all. Numbers from an infinite set are:Read the answer and worked solution →A campus caps every class at 200 seats, so only whole fixed values occur. The data is now:Read the answer and worked solution →Numeric data splits into discrete data and:Read the answer and worked solution →Categorical data splits into ordinal data and:Read the answer and worked solution →Answers of Yes and No carry no ranking between them. Such values are:Read the answer and worked solution →Three common ways to store a dataset are CSV, XML and:Read the answer and worked solution →In a CSV file, each item of the dataset takes up:Read the answer and worked solution →Inside one CSV line, the values for each variable are separated by:Read the answer and worked solution →A manager wants to open a CSV file quickly. A good tool is:Read the answer and worked solution →A web app sends data back and forth with a server. The most suitable format is:Read the answer and worked solution →A dataset has deep nesting inside nesting. The format that suits its hierarchy is:Read the answer and worked solution →A bank spots a fake transaction in real time. This detection now runs on:Read the answer and worked solution →Catch the data wordsRead the answer and worked solution →Pop the unstructured kindsRead the answer and worked solution →Run the data gatesRead the answer and worked solution →Slice the file formatsRead the answer and worked solution →Numbers or categoriesRead the answer and worked solution →Sort the data ideasRead the answer and worked solution →Type the numberRead the answer and worked solution →Data science bingoRead the answer and worked solution →

Worked practice questions

A team collects, manages and analyses data to pull out useful information. That field is:

  1. Data science
  2. Deep diving
  3. Desk sorting
  4. Disc mapping
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Correct answer: A. Data science

1. The work covers gathering, storing and studying data. 2. The aim is meaningful information at the end. 3. That field is data science. _Source: OpenStax Principles of Data Science, Chapter 1, What Is Data Science?_

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Early on, data science work was spread across statistics, maths, social science and:

  1. Camera repair
  2. Computer science
  3. Country studies
  4. Costume design
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Correct answer: B. Computer science

1. The work needed coding and computing power. 2. That discipline joined the other three. 3. It was computer science. _Source: OpenStax Principles of Data Science, Chapter 1, What Is Data Science?_

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An intern gathers readings on variables of interest in an orderly way. That step is data:

  1. Collection
  2. Correction
  3. Contraction
  4. Consumption
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Correct answer: A. Collection

1. Nothing can be analysed before it is gathered. 2. Gathering values on chosen variables comes first. 3. That step is data collection. _Source: OpenStax Principles of Data Science, Chapter 1, What Is Data Science?_

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