by robbie.conn
Data analytics is the backbone of informed decision-making in today’s data-driven world. This quiz will take you through various aspects of data analytics, including data collection, processing, and interpretation. Whether you’re a seasoned analyst or just starting, this quiz will help you gauge your understanding and identify areas for improvement. Good luck, and may your insights be as clear as your data!
We recommend that you do not leave the page that you are taking this quiz in. Stay honest 🙂
Data Analytics Quiz Questions Overview
1. What is the primary purpose of data analytics?
To store data
To visualize data
To extract meaningful insights
To collect data
2. Which of the following is a common data visualization tool?
SQL
Tableau
Python
Excel
3. What does ETL stand for in data analytics?
Extract, Transform, Load
Evaluate, Transform, Load
Extract, Transfer, Load
Evaluate, Transfer, Load
4. Which of the following is an example of a supervised learning algorithm?
K-means clustering
Principal Component Analysis (PCA)
Linear Regression
Apriori
5. In data analytics, what is a ‘null’ value?
A value that is zero
A missing or undefined value
A value that is negative
A placeholder for future data
6. What is the purpose of data normalization?
To remove duplicates
To scale data to a standard range
To encrypt data
To aggregate data
7. Which of the following is a measure of central tendency?
Variance
Standard Deviation
Mean
Range
8. What type of chart is best for showing the distribution of a single variable?
Bar Chart
Pie Chart
Histogram
Line Chart
9. Which of the following is a key benefit of using a data warehouse?
Real-time data processing
Enhanced data security
Centralized data storage
Automated data entry
10. What is the main difference between structured and unstructured data?
Structured data is organized and easily searchable, while unstructured data is not.
Structured data is always numerical, while unstructured data is always textual.
Structured data is stored in databases, while unstructured data is stored in spreadsheets.
Structured data is encrypted, while unstructured data is not.
11. Which of the following techniques is used to reduce the dimensionality of a dataset?
Random Forest
K-Nearest Neighbors
Principal Component Analysis (PCA)
Support Vector Machine
12. What is a ‘data lake’?
A repository for structured data only
A repository for unstructured data only
A centralized repository that stores both structured and unstructured data
A tool for data visualization
13. In the context of data analytics, what is ‘data wrangling’?
The process of collecting data
The process of cleaning and transforming raw data
The process of visualizing data
The process of storing data
14. Which of the following is an example of a NoSQL database?
MySQL
PostgreSQL
MongoDB
SQLite
15. What is the purpose of a ‘data mart’?
To store raw data
To provide a subset of data for a specific business function
To visualize data
To encrypt data
16. Which statistical measure is used to describe the spread of data points in a dataset?
Mean
Median
Standard Deviation
Mode
17. What is the main advantage of using cloud-based data analytics platforms?
Higher data security
Scalability and flexibility
Faster data processing
Lower initial cost
18. Which of the following is a common use case for predictive analytics?
Descriptive statistics
Data visualization
Customer churn prediction
Data encryption
19. In the context of machine learning, what is ‘overfitting’?
When a model performs well on training data but poorly on new data
When a model performs poorly on both training and new data
When a model performs well on new data but poorly on training data
When a model performs well on both training and new data
We recommend that you do not leave the page that you are taking this quiz in. Stay honest 🙂
