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Excel for Data Analytics

Original price was: USD $40.00.Current price is: USD $20.00.

This course introduces learners to Microsoft Excel and its role in data analytics, including data entry, organization, cleaning, formulas, and basic analysis. It also covers charts, reports, dashboards, real-world applications, and beginner-level career pathways in data analytics.

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Attribute
Detail
Format
Online, self-paced course
Level
Basic / Beginner
Duration
2–3 Weeks
Certification
e-Certification
Fee
Free Course
Tools
Microsoft Excel, Data Analytics Basics
About the 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.

Prerequisites: No prior Excel or data analytics knowledge is required. Basic computer knowledge and interest in working with data are sufficient.

Frequently Asked Questions
1. Is this Excel for Data Analytics course free?
Yes. This is a free online self-paced course designed for beginners.
2. Do I need prior Excel experience?
No. The course starts from basic Excel concepts and is suitable for first-time learners.
3. What will I learn in this course?
You will learn how to organize data, use basic formulas, sort and filter data, create charts, and prepare simple reports.
4. Who can join this course?
Students, beginners, working professionals, entrepreneurs, and learners from any background can join.
5. Will I receive a certificate?
Yes. Learners receive an e-Certification after completing the course.
6. Is this course suitable for non-technical learners?
Yes. Excel is useful for both technical and non-technical learners, and this course explains spreadsheet and analytics basics in a simple way.
7. What is the duration of this course?
The Excel for Data Analytics course is designed as a 2–3 week online self-paced course.
8. Does this course cover charts and reports?
Yes. The course introduces basic charts, graphs, tables, simple reports, and beginner-level dashboard concepts.
9. Is Excel useful for data analytics?
Yes. Excel is widely used for organizing data, performing basic analysis, creating summaries, building charts, and supporting decision-making in business, education, finance, and research.
10. What makes this Excel for Data Analytics course beginner-friendly?
The course starts with rows, columns, cells, worksheets, formulas, sorting, filtering, charts, and reports, making it suitable for learners with no prior Excel or analytics experience.
The Excel for Data Analytics course provides a simple and structured introduction to using Excel for data organization, analysis, visualization, and reporting. It is an ideal starting point for learners who want to build practical data analytics skills for academic, business, and professional use.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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