The following Data Science MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Data Science. We encourage you to answer these multiple-choice questions to assess your proficiency.
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A. The entity is required in relationship
B. The entity is not required in relationship
C. Both
D. None
A. A proposed solution to observed phenomena
B. A question derived from observed phenomena
C. A testable explanation for observed phenomena
D. Generated as the final step in scientific inquiry
A. Surrogate
B. Intelligent
C. Secondary
D. Defining
A. Graininess
B. Opacity
C. Coarseness
D. Summarization
E. Granularity
A. Block.
B. Lightening bolt.
C. Line.
D. Cloud.
A. The process of creating data visualizations
B. The study of computer programming languages
C. The interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from data
D. The process of collecting data from various sources
A. To delete all data entries with missing values
B. To reduce the size of the dataset
C. To ensure data accuracy and remove errors and inconsistencies
D. To convert categorical data into numerical format
A. Java
B. Python
C. C++
D. Ruby
A. Building and managing databases
B. Designing data visualizations
C. Collecting and analyzing data to make data-driven decisions
D. Creating user interfaces for data entry
A. Data visualization
B. Data preprocessing
C. Data modeling
D. Data aggregation
A. To predict future trends in the data
B. To clean and preprocess the data
C. To understand the distribution and characteristics of the data
D. To build machine learning models
A. Regression analysis
B. Hypothesis testing
C. Data clustering
D. Time series analysis
A. Data cleaning
B. Feature engineering
C. Model training
D. Model validation
A. Trigonometry
B. Calculus
C. Linear algebra
D. Statistics
A. Data visualization
B. Data extraction
C. Data inference
D. Data exploration