| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Microsoft Excel Spreadsheets Formulas Charts and Graphs Data Analysis |
About the Excel for Data Analytics Course
The Excel for Data Analytics course is a free, beginner-friendly self-paced program designed to help learners understand how Excel can be used to organize, analyze, and present data.
The course introduces key concepts such as spreadsheets, formulas, sorting, filtering, charts, and basic data analysis. Learners will explore how Excel is used in business, education, finance, research, and daily professional work to make data-driven decisions.
Program Highlights
• Free beginner-level Excel analytics course
• Online self-paced learning format
• Simple explanation of spreadsheet and data analysis concepts
• Covers formulas, sorting, filtering, charts, and reports
• Real-world examples from business and professional use
• Suitable for students and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Excel and Data Analytics
- What is Microsoft Excel?
- Role of Excel in Data Analytics
- Understanding Rows, Columns, Cells, and Worksheets
- Applications of Excel in Business and Research
Module 2: Working with Data in Excel
- Entering and Organizing Data
- Sorting and Filtering Data
- Basic Data Cleaning Concepts
- Formatting Data for Analysis
Module 3: Formulas and Basic Analysis
- Introduction to Excel Formulas
- Common Functions such as SUM, AVERAGE, MIN, and MAX
- Using Simple Calculations for Insights
- Understanding Basic Data Summaries
Module 4: Charts, Reports, and Dashboards
- Creating Basic Charts and Graphs
- Presenting Data Visually
- Introduction to Tables and Simple Reports
- Dashboard Basics for Beginners
Module 5: Applications and Next Steps
- Excel in Business, Finance, Education, and Research
- Using Excel for Decision-Making
- Career Opportunities in Data Analytics
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Microsoft Excel Spreadsheets Formulas Charts and Graphs Data Analysis
Real-World Applications
- Organizing business, academic, and financial data
- Creating simple reports and summaries
- Analyzing sales, attendance, survey, or research data
- Visualizing trends using charts and graphs
- Preparing for advanced learning in data analytics and business intelligence
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, working professionals, entrepreneurs, and anyone who wants to learn Excel for data analytics.
- It is also useful for learners from commerce, management, business, finance, engineering, science, education, and non-technical backgrounds.
Certification
