Data Analysis In Excel Specialization

CFI’s Data Analysis in Excel (DAE) Specialization Program positions you to master the world of data analysis using Microsoft Excel. Save hours by automating and streamlining data collection, transformation, and analysis. The DAE Certificate program is designed to propel your career forward as a Microsoft Excel wizard, equipping you with the skills to generate actionable business insights by creating compelling data models and visuals.

The article below contains the following information about CFI's Data Analysis in Excel Specialization:

Skills You'll Gain

Data Collection, Data Transformation, Data Modeling & Analysis, Data visualization.

The DAE Specialization is great for Data Analysts, Finance Analysts, Data Scientists, and Business Intelligence Specialists.

To enroll in the DAE Specialization Program, you must have an active Self-Study or Full-Immersion Subscription. Click here to review and select the subscription that best suits your needs!

No additional fees are required to earn your certification once you've enrolled.

Data Analysis in Excel Specialization Requirements

Please click here and select "How it Works" to learn more about earning your Business Essentials Specialization requirements.

  • Step 1: Complete all required coursework.
  • Step 2: Sign the CFI Honor Pledge. Program candidates must sign and abide by the CFI Honor Pledge to receive and maintain program certification. Failure to abide by the CFI Honor Pledge will result in the revocation of one's certificates.
  • Step 3 (optional): View and download your online certificate & student transcript.

Duration & Delivery

Lectures, study materials, and exams are all online and accessible worldwide, allowing the program to be completed anytime on a self-paced timeline. 

The estimated time to complete the Data Analysis in Excel Specialization is 26-30 hours.

Career Paths

CFI's Data Analysis Specialization is designed to help students be the Microsoft Excel wizard everyone admires! Learn to manipulate and connect data, create and visualize insights from raw data, and leverage the latest Excel data analysis course tools and add-ins to enhance productivity. Career paths include:

  • Data Analyst: Data analysts collect and transform data, creating models and metrics for analysis. Microsoft Excel is their primary tool for this work.
  • Business Intelligence Specialist: Business intelligence specialists have diverse skills, including SQL and data visualization. Microsoft Excel remains the preferred choice for quick calculations and testing ideas.
  • Data Scientist: Data scientists use various tools to create predictive models and analyses. Again, Microsoft Excel is a useful tool to manipulate data and interrogate smaller datasets.
  • Finance Analyst: Finance analysts perform many of the same tasks as data analysts, but using finance specific data. Microsoft Excel is by a significant margin the most widely used financial analysis tool.

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