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Microsoft Excel Data Analysis Practice Exam

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Microsoft Excel Data Analysis Practice Exam

Microsoft Excel Data Analysis is the practice of using Microsoft Excel from Microsoft for analyzing data for visualization, insights and decision making.  The practice includes data organization, visualization, summarization, and analysis of data using Microsoft Excel's  pivot tables, charts, formulas, functions, and data modeling function. Microsoft Excel provides the facility to store and organize data in spreadsheet or tabular format and on whihc analysis can be done for understanding trends to make an informed decision.

Certification in Microsoft Excel Data Analysis validates your skills and knowledge in Microsoft Excel’s data manipulation, visualization functions, pivot table, charts and formulas.
Why is Microsoft Excel Data Analysis certification important?

  • The certification validates your skills and knowledge to analyze and visualize data using Microsoft Excel.
  • Validates your expertise in Microsoft Excel’s advanced features and functions.
  • Boosts your credibility for data analysis related roles.
  • Increases your employability by showing your competency in data management.
  • Provides you career advancement opportunities in data analysis roles.

Who should take the Microsoft Excel Data Analysis Exam?

  • Data Analyst
  • Business Analyst
  • Financial Analyst
  • Marketing Analyst
  • Operations Manager
  • Project Manager
  • Research Analyst
  • Data Scientist
  • Excel Trainer
  • IT Support Specialist

Skills Evaluated

Candidates taking the certification exam on the Microsoft Excel Data Analysis is evaluated for the following skills:

  • Data cleaning, preparation, and transformation.
  • Using pivot tables to summarize and analyze data.
  • Creating and managing complex formulas and functions.
  • Visualizing data with charts and graphs.
  • Performing statistical analysis using Excel tools.
  • Data modeling and management using Power Query and Power Pivot.
  • Analyzing trends, patterns, and correlations in data.
  • Automating data analysis tasks using macros and VBA.

Microsoft Excel Data Analysis Certification Course Outline
The course outline for Microsoft Excel Data Analysis certification is as below -

 

1. Data Management and Organization:

  • Importing and cleaning data.
  • Sorting and filtering data.
  • Using named ranges and tables.

2. Formulas and Functions:

  • Writing and using basic and complex formulas.
  • Using functions like VLOOKUP, INDEX, MATCH, and IF.
  • Working with logical and date/time functions.

3. Data Visualization:

  • Creating and formatting charts (bar, line, scatter, etc.).
  • Using conditional formatting.
  • Creating dynamic charts and dashboards.

4. Understanding Pivot Tables and Pivot Charts

  • Pivot tables.
  • Group data and calculated fields.
  • Pivot charts.

5. Understanding Statistical Analysis

  • Statistical functions
  • Regression analysis and hypothesis testing.
  • Data distributions and probability.

6. Power Query and Power Pivot:

  • Data extraction and transformation with Power Query.
  • Creating data models using Power Pivot.
  • Using DAX functions in Power Pivot.

7. Macros and Automation:

  • Recording and editing macros.
  • Writing VBA code for data analysis automation.


Reviews

Tags: Microsoft Excel Data Analysis Online Test, Microsoft Excel Data Analysis Certification Exam, Microsoft Excel Data Analysis Certificate, Microsoft Excel Data Analysis Online Exam, Microsoft Excel Data Analysis Practice Questions, Microsoft Excel Data Analysis Practice Exam,

Microsoft Excel Data Analysis Practice Exam

Microsoft Excel Data Analysis Practice Exam

  • Test Code:9306-P
  • Availability:In Stock
  • $7.99

  • Ex Tax:$7.99


Microsoft Excel Data Analysis Practice Exam

Microsoft Excel Data Analysis is the practice of using Microsoft Excel from Microsoft for analyzing data for visualization, insights and decision making.  The practice includes data organization, visualization, summarization, and analysis of data using Microsoft Excel's  pivot tables, charts, formulas, functions, and data modeling function. Microsoft Excel provides the facility to store and organize data in spreadsheet or tabular format and on whihc analysis can be done for understanding trends to make an informed decision.

Certification in Microsoft Excel Data Analysis validates your skills and knowledge in Microsoft Excel’s data manipulation, visualization functions, pivot table, charts and formulas.
Why is Microsoft Excel Data Analysis certification important?

  • The certification validates your skills and knowledge to analyze and visualize data using Microsoft Excel.
  • Validates your expertise in Microsoft Excel’s advanced features and functions.
  • Boosts your credibility for data analysis related roles.
  • Increases your employability by showing your competency in data management.
  • Provides you career advancement opportunities in data analysis roles.

Who should take the Microsoft Excel Data Analysis Exam?

  • Data Analyst
  • Business Analyst
  • Financial Analyst
  • Marketing Analyst
  • Operations Manager
  • Project Manager
  • Research Analyst
  • Data Scientist
  • Excel Trainer
  • IT Support Specialist

Skills Evaluated

Candidates taking the certification exam on the Microsoft Excel Data Analysis is evaluated for the following skills:

  • Data cleaning, preparation, and transformation.
  • Using pivot tables to summarize and analyze data.
  • Creating and managing complex formulas and functions.
  • Visualizing data with charts and graphs.
  • Performing statistical analysis using Excel tools.
  • Data modeling and management using Power Query and Power Pivot.
  • Analyzing trends, patterns, and correlations in data.
  • Automating data analysis tasks using macros and VBA.

Microsoft Excel Data Analysis Certification Course Outline
The course outline for Microsoft Excel Data Analysis certification is as below -

 

1. Data Management and Organization:

  • Importing and cleaning data.
  • Sorting and filtering data.
  • Using named ranges and tables.

2. Formulas and Functions:

  • Writing and using basic and complex formulas.
  • Using functions like VLOOKUP, INDEX, MATCH, and IF.
  • Working with logical and date/time functions.

3. Data Visualization:

  • Creating and formatting charts (bar, line, scatter, etc.).
  • Using conditional formatting.
  • Creating dynamic charts and dashboards.

4. Understanding Pivot Tables and Pivot Charts

  • Pivot tables.
  • Group data and calculated fields.
  • Pivot charts.

5. Understanding Statistical Analysis

  • Statistical functions
  • Regression analysis and hypothesis testing.
  • Data distributions and probability.

6. Power Query and Power Pivot:

  • Data extraction and transformation with Power Query.
  • Creating data models using Power Pivot.
  • Using DAX functions in Power Pivot.

7. Macros and Automation:

  • Recording and editing macros.
  • Writing VBA code for data analysis automation.