Data Analytics with Excel

Data Analytics with Excel is a practical, beginner-friendly program designed to build a strong foundation in data analysis, reporting, and business decision-making using Microsoft Excel. The course provides a clear and structured introduction to analytics concepts without overwhelming technical complexity, making it suitable for individuals entering the data field as well as professionals strengthening their Excel-based analytical capabilities.

Through guided learning and hands-on practice, participants develop an understanding of how data is collected, cleaned, analyzed, and transformed into meaningful insights. The program covers core Excel skills, data management techniques, formulas and functions, PivotTables, data visualization, and basic dashboard creation. Emphasis is placed on structured problem-solving, working with real-world datasets, and applying analytical thinking to business and operational scenarios.

Upon completion, learners possess the foundational knowledge and practical skills required to clean and analyze datasets, generate reports, and communicate insights effectively using Excel. The program also establishes a strong pathway toward advanced Business Intelligence tools such as Power BI and Tableau, and supports career progression into data analysis, reporting, and business intelligence roles.

The following basic skills are recommended to maximize learning outcomes:

• Comfort using a computer (file navigation, browser usage, and basic typing)

• Familiarity with Microsoft Office tools (Microsoft Excel preferred – basic level)

• Basic understanding of mathematics concepts (percentages, averages, and simple calculations)

• Interest in data analysis, problem-solving, and analytical thinking

• Willingness to learn Microsoft Excel for analytics and complete hands-on exercises

By the end of this course, you will be able to:

• Understand core data analytics concepts and how Microsoft Excel is used in data-driven business workflows

• Work confidently within the Excel environment to organize and manage datasets

• Import, clean, and prepare real-world datasets by handling missing values, duplicates, and inconsistencies

• Use essential and advanced Excel formulas and functions to perform data analysis

• Analyze datasets using sorting, filtering, conditional formatting, and PivotTables

• Create meaningful charts, graphs, and visualizations to communicate insights clearly

• Build basic dashboards using Excel charts and PivotTables for business reporting

• Apply descriptive statistics, trend analysis, and What-If analysis for decision support

• Interpret data patterns, trends, and key metrics to support business decision-making

• Work with real-world datasets through hands-on exercises and assignments

• Build a strong foundation to progress into advanced Business Intelligence tools such as Power BI and Tableau

This course prepares learners for entry-level and foundational roles in data analytics, reporting, and business intelligence using Microsoft Excel. After completing the training, learners will be better prepared for positions such as:

• Data Analyst (Excel-Based)

• Junior Data Analyst

• Business Analyst (Data & Reporting)

• Reporting Analyst

• Operations Analyst

• MIS / Reporting Executive

• Data Coordinator

This course follows our proprietary OCA Skill Sprint Method — a structured approach focused on clear goals, hands-on practice, real-world application, and measurable performance.