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Data Science Fundamentals

Description: This quiz covers the fundamental concepts of Data Science, including data types, data collection, data analysis, and data visualization.
Number of Questions: 15
Created by:
Tags: data science data analysis data visualization
Attempted 0/15 Correct 0 Score 0

Which of the following is a continuous data type?

  1. Age

  2. Gender

  3. Height

  4. Occupation


Correct Option: C
Explanation:

Continuous data types can take on any value within a range, such as height or weight.

Which of the following is a discrete data type?

  1. Age

  2. Gender

  3. Height

  4. Occupation


Correct Option: B
Explanation:

Discrete data types can only take on specific values, such as gender or occupation.

What is the process of collecting data called?

  1. Data mining

  2. Data analysis

  3. Data collection

  4. Data visualization


Correct Option: C
Explanation:

Data collection is the process of gathering data from various sources, such as surveys, experiments, or online databases.

What is the process of cleaning and preparing data for analysis called?

  1. Data mining

  2. Data analysis

  3. Data collection

  4. Data preprocessing


Correct Option: D
Explanation:

Data preprocessing is the process of cleaning and preparing data for analysis, which includes removing errors, handling missing values, and normalizing data.

What is the process of extracting meaningful information from data called?

  1. Data mining

  2. Data analysis

  3. Data collection

  4. Data visualization


Correct Option: B
Explanation:

Data analysis is the process of extracting meaningful information from data, which includes using statistical methods, machine learning algorithms, and data visualization techniques.

What is the process of presenting data in a visual format called?

  1. Data mining

  2. Data analysis

  3. Data collection

  4. Data visualization


Correct Option: D
Explanation:

Data visualization is the process of presenting data in a visual format, such as charts, graphs, and maps, to make it easier to understand and interpret.

Which of the following is a common data visualization technique?

  1. Histogram

  2. Scatter plot

  3. Bar chart

  4. All of the above


Correct Option: D
Explanation:

Histogram, scatter plot, and bar chart are all common data visualization techniques used to present data in a visual format.

What is the process of using data to make predictions or decisions called?

  1. Data mining

  2. Data analysis

  3. Data collection

  4. Machine learning


Correct Option: D
Explanation:

Machine learning is the process of using data to train algorithms to make predictions or decisions, without being explicitly programmed to do so.

Which of the following is a common machine learning algorithm?

  1. Linear regression

  2. Decision tree

  3. Support vector machine

  4. All of the above


Correct Option: D
Explanation:

Linear regression, decision tree, and support vector machine are all common machine learning algorithms used for various tasks such as prediction, classification, and regression.

What is the process of evaluating the performance of a machine learning model called?

  1. Model evaluation

  2. Model training

  3. Model selection

  4. Model deployment


Correct Option: A
Explanation:

Model evaluation is the process of assessing the performance of a machine learning model using metrics such as accuracy, precision, and recall.

Which of the following is a common model evaluation metric?

  1. Accuracy

  2. Precision

  3. Recall

  4. All of the above


Correct Option: D
Explanation:

Accuracy, precision, and recall are all common model evaluation metrics used to assess the performance of a machine learning model.

What is the process of deploying a machine learning model into production called?

  1. Model evaluation

  2. Model training

  3. Model selection

  4. Model deployment


Correct Option: D
Explanation:

Model deployment is the process of deploying a machine learning model into production, which involves making the model available to end-users or other systems.

Which of the following is a common data science tool?

  1. Python

  2. R

  3. Tableau

  4. All of the above


Correct Option: D
Explanation:

Python, R, and Tableau are all common data science tools used for data analysis, data visualization, and machine learning.

What is the process of communicating the results of a data science project called?

  1. Data storytelling

  2. Data visualization

  3. Data analysis

  4. Machine learning


Correct Option: A
Explanation:

Data storytelling is the process of communicating the results of a data science project in a clear and concise manner, often using data visualization and narrative techniques.

What is the role of a data scientist?

  1. To collect and analyze data

  2. To build and deploy machine learning models

  3. To communicate the results of data science projects

  4. All of the above


Correct Option: D
Explanation:

Data scientists are responsible for collecting and analyzing data, building and deploying machine learning models, and communicating the results of data science projects.

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