Build practical data analytics skills using Microsoft Excel through hands-on learning, guided exercises, and real-world business scenarios. Learn how to clean, analyze, visualize, and interpret data to support data-driven decision-making and reporting workflows.
Learn data analysis fundamentals using Microsoft Excel
Clean, prepare, and manage real-world datasets for analysis
Analyze data using formulas, functions, PivotTables, and charts
Create dashboards, reports, and business-focused visualizations
Beginner-friendly - no prior Excel or data analytics experience require
Complete beginners seeking a structured introduction to data analytics using Microsoft Excel
Students and job seekers preparing for entry-level data analysis and reporting roles
Professionals looking to build practical Excel and business data analysis skills
Career changers transitioning into data, analytics, business intelligence, or operations roles
Business professionals working with reports, spreadsheets, and operational data
Anyone interested in learning how to clean, analyze, and visualize data using Excel
Data Analytics with Excel is a practical, beginner-friendly program focused on building foundational data analysis and reporting skills using Microsoft Excel. Learners work with formulas, functions, PivotTables, charts, dashboards, and data visualization tools while exploring real-world business analysis scenarios and structured analytical workflows. By the end of the course, learners develop practical Excel analytics skills needed to organize, analyze, visualize, and interpret data for business reporting and decision-making.
Learn Microsoft Excel for real-world data analysis and business decision-making
Build practical Excel skills including formulas, functions, PivotTables, and charts
Clean, organize, and analyze datasets using structured analytical workflows
Create dashboards and business-focused visualizations using Excel tools
Apply analytical thinking and problem-solving techniques using data
Complete a real-world Excel data analytics project
Delivered using OCA’s Skill Sprint™ Method with hands-on practice, real-world exercises, and instructor-led feedback.
The following basic skills are recommended to maximize learning outcomes:
Comfort using a computer, browser, and basic typing skills
Familiarity with Microsoft Office or spreadsheet applications (helpful but not required)
Basic understanding of mathematics concepts including percentages and averages
Interest in data analysis, reporting, and business decision-making
Willingness to learn Microsoft Excel through hands-on exercises
By the end of this course, you will be able to:
Understand core data analytics concepts and how Excel supports business decision-making
Work confidently with Excel worksheets, tables, formulas, and structured datasets
Clean and prepare real-world datasets by handling missing values, duplicates, and inconsistencies
Use formulas, functions, PivotTables, and charts to analyze business data
Create dashboards and business-focused visualizations using Excel
Apply analytical thinking and problem-solving techniques using data
Interpret trends, patterns, and insights to support business reporting and decision-making
Complete a real-world Excel data analytics project
After completing the course, learners will be better prepared for positions such as:
Data Analyst
Reporting Analyst
Business Operations Associate
Data Coordinator
Excel Reporting Specialist
Operations Analyst
Business Support Analyst
Learn through focused Skill Sprints built around practical application and real-world tasks.
Data analytics and Excel skills are essential across business, finance, healthcare, operations, marketing, and administrative environments as organizations increasingly rely on data-driven decision-making and reporting. Microsoft Excel remains one of the most widely used business analytics tools for organizing, analyzing, and visualizing data. This course helps learners build practical Excel analytics skills aligned with modern reporting, business analysis, and operational decision-making workflows.
Build foundational data visualization and business intelligence skills using Tableau Desktop through...
Learn how to confidently interpret Tableau dashboards and turn visual data into meaningful business ...
Build practical data preparation, transformation, and business intelligence skills using Alteryx and...
Master advanced Tableau analytics and dashboard development skills through hands-on learning, guided...
Build practical Tableau skills in data visualization and business reporting through hands-on learnin...
Build foundational business intelligence and reporting skills using Microsoft Power BI through hands...
Master advanced Power BI techniques to build enterprise-grade dashboards, develop powerful DAX calcu...
Build practical business intelligence and reporting skills using IBM Cognos Analytics through hands-...