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DSTC-A39 Online (e-LMS) Foundation

Excel for Data Analytics

by - DSTC

Master Excel for Data Analytics in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 4 Weeks · 40 hrs • e-Certificate Included
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From ₹200 + GST

Programme Parameters

Educational Level:
Foundation
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This 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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

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.

📋 Course Objectives

1. Put Artificial Intelligence techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in Artificial Intelligence
• R&D engineers and working professionals applying Artificial Intelligence in industry
• Academics and educators building research or teaching capacity in Artificial Intelligence

🚀 Key Learning Outcomes

• A demonstrable Artificial Intelligence project for your research or industry portfolio.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

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 Outline

Working with Data in Excel

Entering and Organizing Data • Sorting and Filtering Data • Basic Data Cleaning Concepts • Formatting Data for Analysis

Module 3 Outline

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 Outline

Charts, Reports, and Dashboards

Creating Basic Charts and Graphs • Presenting Data Visually • Introduction to Tables and Simple Reports • Dashboard Basics for Beginners

Module 5 Outline

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

Technical Specifications

ParameterRequirement
Covered Tool / PlatformMicrosoft Excel
Covered Tool / PlatformSpreadsheets
Covered Tool / PlatformFormulas
Covered Tool / PlatformCharts and Graphs
Covered Tool / PlatformData Analysis

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. The course starts from basic Excel concepts and is suitable for first-time learners.

You will learn how to organize data, use basic formulas, sort and filter data, create charts, and prepare simple reports.

Students, beginners, working professionals, entrepreneurs, and learners from any background can join.

Yes. Learners receive an e-Certification after completing the course.

Yes. Excel is useful for both technical and non-technical learners, and this course explains spreadsheet and analytics basics in a simple way.

The Excel for Data Analytics course is designed as a 2–3 week online self-paced course.

Yes. The course introduces basic charts, graphs, tables, simple reports, and beginner-level dashboard concepts.

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.

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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