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Beginner ~10 min

Data & Analytics Fundamentals: Data Literacy, BI, and Reporting

This assessment introduces core concepts in data literacy and analytics, including data types, basic statistics, dashboards, business intelligence (BI), and reporting best practices. Designed for beginners and non-technical professionals, the test focuses on understanding, interpreting, and communicating data effectively to support informed decision-making.

Progress: 0/20

Beginner � ~10 min

Q1. What does data literacy primarily refer to?

Select one answer � 1 pt

The ability to write computer code The storage of large datasets Advanced statistical modeling The ability to read and interpret data

Q2. Which of the following is an example of quantitative data?

Select one answer � 1 pt

Customer satisfaction rating (1–5) Product descriptions Employee names Customer comments

Q3. What is the primary purpose of data analytics?

Select one answer � 1 pt

To collect as much data as possible To replace human judgment To support decision-making To store data securely

Q4. Which tool is commonly used for business intelligence (BI)?

Select one answer � 1 pt

Microsoft Excel Adobe Photoshop Power BI Microsoft Word

Q5. What does a dashboard typically display?

Select one answer � 1 pt

System error logs Written reports Key performance indicators (KPIs) Raw data tables only

Q6. Which chart type is best for showing trends over time?

Select one answer � 1 pt

Scatter plot Pie chart Bar chart Line chart

Q7. What does KPI stand for?

Select one answer � 1 pt

Knowledge Performance Index Known Process Input Key Performance Indicator Key Program Interface

Q8. Which of the following is an example of qualitative data?

Select one answer � 1 pt

Sales revenue Number of customers Website traffic count Customer feedback comments

Q9. What is the main goal of data visualization?

Select one answer � 1 pt

Store data securely Hide complex data Make reports longer Communicate insights clearly

Q10. Which measure represents the average of a dataset?

Select one answer � 1 pt

Mode Median Mean Range

Q11. What does the median represent?

Select one answer � 1 pt

The total sum The highest value The most frequent value The middle value

Q12. Which data issue can negatively impact analysis results?

Select one answer � 1 pt

Clean data Accurate data Incomplete or incorrect data Well-documented data

Q13. What is data cleaning?

Select one answer � 1 pt

Creating dashboards Deleting all outliers Correcting errors and inconsistencies Collecting new data

Q14. Which chart is best for comparing categories?

Select one answer � 1 pt

Scatter plot Line chart Bar chart Heat map

Q15. What is a common use of spreadsheets in analytics?

Select one answer � 1 pt

Basic data analysis and calculations Web development Database administration Image editing

Q16. What does correlation indicate?

Select one answer � 1 pt

Causation Randomness Data accuracy Relationship between variables

Q17. Which statement about correlation is correct?

Select one answer � 1 pt

Correlation is always negative Correlation proves cause and effect Correlation does not imply causation Correlation always means causation

Q18. What is the purpose of reporting in analytics?

Select one answer � 1 pt

Automate data collection Share insights and results Replace dashboards Store raw data

Q19. Which role focuses on turning data into business insights?

Select one answer � 1 pt

Data analyst System technician Network administrator Graphic designer

Q20. What is one key benefit of data-driven decision-making?

Select one answer � 1 pt

Improves decision accuracy Guarantees profit Eliminates all risk Removes human judgment

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