Data Science
Data Science Quiz Challenge
Test your knowledge of data science concepts and artificial intelligence in our engaging quiz! Whether you're a beginner or an expert, this quiz covers various aspects of data science from career options to algorithms.
Join us to enhance your understanding and see how well you know:
- Data Science Applications
- Careers in Data Science
- Data Types
- Machine Learning Algorithms
Data Science can help with:
Speech Recognition
Digital Advertising
All of the above
Which of the following is a goal of Artificial Intelligence?
Logical Reasoning
Knowledge Representation
Planning and Navigation
All of the above
Which of the following is not a career option in data science?
Game designer
Business Intelligence Analyst
Data Architect
Senior Data Scientist
A school named ABC has recorded the total marks of every student in the class. This an example of:
Qualitative data
Quantitative data
Both qualitative and quantitative data
None of the above
You want to build a way to segregate spam emails from good emails. Which algorithm will you use?
Clustering
Regression
Outliers
Binary classification
How is data used in the entertainment industry?
Predicting interests
Targeting ads
None of the above
Both of these
Which of the following best describes the principal goal of data science?
To collect and archive exhaustive data sets from various source systems for corporate record keeping uses.
To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains
To collect and prepare data for use as part of analytics applications.
What is the primary difference between a data scientist and a data engineer?
A data engineer collects and prepares data, and a data scientist then analyzes it
A data engineer analyzes data after a data scientist collects and prepares it
A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation and analysis.
____ are analytical experts who utilize their skills both in technology and social science to find trends and manage data
Data Scientist
Data Architect
Data Engineer
None of these
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