Data Science Quiz

Data science combines statistics, programming and domain knowledge to find insight in data. The quiz covers the data science workflow, data cleaning, visualisation, common libraries and basic statistics.

What this quiz covers

Study tip: Take a small public dataset and walk through the full workflow once: clean, explore, visualise, summarise.

Questions, answers and explanations

1. What is Data Science?

  1. The study of data to extract useful insights
  2. Creating websites
  3. Designing computer hardware
  4. Managing operating systems

Answer: The study of data to extract useful insights

Data Science combines statistics, programming, and machine learning to analyze data.

2. Which programming language is most commonly used in Data Science?

  1. Python
  2. HTML
  3. PHP
  4. C

Answer: Python

Python is the most widely used language for Data Science.

3. Which Python library is mainly used for data analysis?

  1. Pandas
  2. React
  3. Flutter
  4. Bootstrap

Answer: Pandas

Pandas provides powerful tools for data manipulation and analysis.

4. Which library is commonly used for numerical computing in Python?

  1. NumPy
  2. Laravel
  3. Express
  4. Django

Answer: NumPy

NumPy provides support for arrays and mathematical operations.

5. Which library is used for data visualization?

  1. Matplotlib
  2. Node.js
  3. MongoDB
  4. Git

Answer: Matplotlib

Matplotlib is widely used for creating charts and graphs.

6. Which file format is commonly used for datasets?

  1. CSV
  2. MP3
  3. PNG
  4. EXE

Answer: CSV

CSV (Comma-Separated Values) is commonly used to store datasets.

7. What does CSV stand for?

  1. Comma-Separated Values
  2. Computer Stored Values
  3. Common Standard Variables
  4. Central System Values

Answer: Comma-Separated Values

CSV is a simple text format for storing tabular data.

8. Which process involves cleaning and preparing data?

  1. Data Preprocessing
  2. Deployment
  3. Compilation
  4. Debugging

Answer: Data Preprocessing

Data preprocessing prepares raw data for analysis.

9. Which chart is commonly used to compare categories?

  1. Bar Chart
  2. Pie Chart
  3. Scatter Plot
  4. Histogram

Answer: Bar Chart

Bar charts are commonly used to compare categorical values.

10. What is the main goal of Data Science?

  1. Extract meaningful insights from data
  2. Create mobile apps
  3. Build operating systems
  4. Design websites

Answer: Extract meaningful insights from data

The primary goal of Data Science is to analyze data and generate valuable insights.

11. Which Python library is widely used for machine learning?

  1. Scikit-learn
  2. Bootstrap
  3. React
  4. Express

Answer: Scikit-learn

Scikit-learn provides machine learning algorithms for classification, regression, and clustering.

12. What is the process of finding patterns in large datasets called?

  1. Data Mining
  2. Debugging
  3. Compiling
  4. Deploying

Answer: Data Mining

Data mining discovers useful patterns and relationships in large datasets.

13. Which type of graph is best for showing relationships between two variables?

  1. Scatter Plot
  2. Bar Chart
  3. Pie Chart
  4. Histogram

Answer: Scatter Plot

Scatter plots help visualize relationships between two numerical variables.

14. What is the first step in a Data Science project?

  1. Collecting Data
  2. Building a Model
  3. Deploying the Model
  4. Testing the Model

Answer: Collecting Data

Data collection is the first step before cleaning, analyzing, and modeling.

15. Which measure represents the average value of a dataset?

  1. Mean
  2. Median
  3. Mode
  4. Range

Answer: Mean

The mean is calculated by dividing the sum of values by the total number of values.

16. What is missing data commonly handled by?

  1. Cleaning or Imputation
  2. Ignoring Forever
  3. Deleting the Project
  4. Formatting Code

Answer: Cleaning or Imputation

Missing values are often cleaned or replaced using imputation techniques.

17. Which SQL statement is commonly used to retrieve data?

  1. SELECT
  2. INSERT
  3. UPDATE
  4. DELETE

Answer: SELECT

The SELECT statement retrieves data from a database.

18. Which of the following is a supervised learning problem?

  1. Classification
  2. Clustering
  3. Association Rules
  4. Dimensionality Reduction

Answer: Classification

Classification is a supervised learning task using labeled data.

19. Which tool is commonly used for interactive Data Science notebooks?

  1. Jupyter Notebook
  2. Photoshop
  3. VS Code Only
  4. PowerPoint

Answer: Jupyter Notebook

Jupyter Notebook is widely used for writing and running Data Science code.

20. Which of the following is a major benefit of Data Science?

  1. Better Decision Making
  2. Predictive Analysis
  3. Business Insights
  4. All of the above

Answer: All of the above

Data Science helps organizations make informed decisions through analysis and prediction.

Take the timed quiz