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Proxera

Data Analytics with Excel

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proxera
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Data Analytics with Excel

Data Analytics with Excel is a practical professional training program designed to help employees, analysts, supervisors, and business professionals transform raw data into meaningful business insights using Microsoft Excel.

Participants will learn how to structure datasets, clean and prepare information, use advanced formulas, build PivotTables, create dashboards, apply quality controls, and communicate findings effectively to stakeholders.

The course emphasizes analytical thinking, data quality, governance, business reporting, and evidence-based decision-making through realistic workplace examples and hands-on exercises.

Important Course Notice

Data Analytics with Excel

Participants should complete all modules, practical activities, knowledge reviews, and the final assessment. Consistent practice using Excel tools and business datasets will maximize learning outcomes and workplace application.

Certificate included
Course details
Duration 3 Days
Lectures 1
Quizzes 1
Level Beginner
Basic info

Basic Information

  • Course Name: Data Analytics with Excel
  • Course Code: DAE-201
  • Category: Data Analytics & Business Intelligence
  • Level: Beginner to Intermediate
  • Duration: 3 Days
  • Modules: 10 Professional Modules
  • Training Type: Professional Skills Training
  • Delivery Method: Classroom or Online
  • Assessment: Final Assessment Included
  • Certificate: Certificate Issued Upon Completion
Course requirements

Course Requirements

  • Basic knowledge of Microsoft Excel.
  • Experience using spreadsheets in a workplace environment.
  • Interest in data analysis and business reporting.
  • Access to Microsoft Excel for practical exercises.
  • Commitment to completing activities and assessments.
Intended audience

Intended Audience

  • Business Analysts
  • Operations Professionals
  • Finance Personnel
  • Human Resources Staff
  • Sales and Marketing Teams
  • Project Coordinators
  • Administrative Professionals
  • Team Leaders and Supervisors
  • Management Staff
  • Anyone Responsible for Business Reporting and Data Analysis