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WorksheetsExploring Data Careers
Total questions: 10
Worksheet time: 5mins
What is data analysis?
Data analysis is the systematic examination of data to extract insights and inform decisions.
Data analysis is the process of storing data in databases.
Data analysis is the art of creating visual presentations of data.
Data analysis is the random collection of data without purpose.
Name one technique used in data analysis.
Regression analysis
Cluster analysis
Data mining
Time series forecasting
What does a data analyst do?
A data analyst designs software applications.
A data analyst interprets data to provide insights and support decision-making.
A data analyst collects data for marketing campaigns.
A data analyst manages company finances.
How can data analysts help businesses?
Data analysts help businesses by providing insights from data analysis to inform decision-making and improve efficiency.
Data analysts support businesses by designing websites and mobile applications.
Data analysts help businesses by creating marketing campaigns without data insights.
Data analysts assist businesses by managing employee schedules and payroll.
What is a common tool used by data analysts?
Excel
Google Sheets
Power BI
Tableau
What is the role of a statistical analyst?
The role of a statistical analyst is to design software applications.
The role of a statistical analyst is to manage financial accounts.
The role of a statistical analyst is to analyze data and provide insights to support decision-making.
The role of a statistical analyst is to create marketing strategies.
Name a popular accounting software tool.
QuickBooks
Wave Accounting
Xero
FreshBooks
What is the main job of an accountant?
To oversee company hiring processes.
To manage employee schedules.
To prepare and examine financial records.
To conduct market research.
How do data scientists differ from data analysts?
Data scientists primarily work with databases; data analysts manage server infrastructure.
Data scientists focus on data cleaning; data analysts create visualizations.
Data scientists build models and algorithms; data analysts interpret data for insights.
Data scientists analyze trends; data analysts develop software applications.
Why is data important in decision making?
Data is irrelevant in decision making as it complicates the process.
Data is important in decision making because it provides objective evidence that informs choices and reduces uncertainty.
Decisions should be made based on intuition rather than data analysis.
Data can often mislead decision makers and create confusion.
