Pivot Tables Practice Exam

Pivot Tables mainly refers to the tool in Microsoft Excel, which is used for data analysis. The tool enables users to group and analyze data easily and effectively. The tool aggregates large amounts of data into desired summary or in charts with Pivot Charts by using sum, average, or count. It helps in getting a holistic view of data to generate reports, know the trends, and making decisions.

A certification in Pivot Tables certifies your skills in developing and using Pivot Tables, calculated fields, data grouping, slicers, and using Pivot Tables with external data sources.
Why is Pivot Tables certification important?

• The certification certifies your skills in Pivot Tables.
  
• Increases your credibility in data analysis roles.
• Validates your expertise in using advanced Excel features.
• Increases your employability in data  analysis roles.
• Shows your expertise in analyzing large datasets.
• Gets qualified for promotions or advanced job roles.

Who should take the Pivot Tables Exam?

• Data Analysts
• Business Analysts
• Financial Analysts
• Accountants
• Project Managers
• HR Analysts
• Supply Chain Analysts
• Marketing Analysts
• IT Professionals managing business tools
• Administrative Professionals

Skills Evaluated

Candidates taking the certification exam on the Pivot Tables is evaluated for the following skills:

• Creating Pivot Tables
• Filter, sort, and group data
  
• Calculated fields and items
• External data sources
• Pivot Charts
• Slicers and timelines

Pivot Tables Certification Course Outline
The course outline for Pivot Tables certification is as below -

• Creating Pivot Tables
• Understanding Pivot Table fields

• Sorting and filtering data
• Grouping data by categories and dates

• Creating custom calculations
• Using formulas in Pivot Tables

• Creating Pivot Charts
• Using slicers and timelines

• Connecting to external data sources
• Refreshing and updating Pivot Table data

• Creating multiple Pivot Tables from one dataset
• Using GETPIVOTDATA function

• Resolving errors in Pivot Tables
• Managing large datasets in Pivot Tables