Microsoft Excel for Data Analysis: Beginner to Intermediate Mastery
Learn Excel from scratch and build practical skills in formulas, pivot tables, charts, dashboards, and basic automation for real business use.
Course Overview
This course is a complete Excel learning path that starts with the basics and moves into formulas, analysis, dashboards, and automation. It includes quizzes, real-world scenarios, and a final capstone project to help learners apply Excel in a business context.
This course is designed for guided live learning. You will move through concepts, Tutor-led demonstrations, practice tasks, review sessions, assignments and a final project that proves your understanding.
Learning Outcomes
- Students will learn how to confidently use Excel for business reporting, data analysis, and dashboard creation. They will learn to clean data, write formulas, build pivot tables, create charts, and automate repetitive tasks with basic macros.
Requirements
- No prior Excel knowledge required. Basic computer usage skills. A Windows or Mac computer with Microsoft Excel installed. Willingness to practice with sample datasets and exercises.
Who This Course Is For
- Beginners who want to learn Excel from the ground up; students preparing for data or business roles; working professionals who want to improve reporting and analysis skills; analysts, coordinators, managers, and anyone who wants practical Excel skills for real-world work.
Assignments
Assignments help the Tutor check your progress and give completion feedback. After purchase, assigned work also appears inside the student dashboard.
Practice the topic, submit your notes or project work and receive Tutor feedback before moving ahead.
Suggested time Live session
Tutor Details
Syed Naseer
Empowering individuals to automate workflows and drive faster business decisions
I deliver practical, outcome-driven training that helps professionals and learners turn data into decisions. My classes emphasize applied skills, real-world project work, and clarity: building clean data pipelines, exploratory analysis, visual storytelling, and production-ready solutions using Power BI, Python, SQL Server, and Tableau.