Cellgrids Cellgridsby LearnWithRinkesh
Home › Excel tutorials › Excel for Data Analytics: Skills, Course Topics and Projects

Excel for Data Analytics: Skills, Course Topics and Projects

By Rinkesh Shah · Business Analyst, 8 years in data · Updated 2026-11-03

Excel is still the first tool most analysts use. Before SQL or Power BI, you are expected to clean a file, answer a manager's question with numbers and show it in a simple chart.

The analyst workflow in Excel

  1. Understand the question. What decision will this number help with?
  2. Get the data. From a file, a system export or a database.
  3. Clean it. Remove duplicates, fix dates and text, handle blanks.
  4. Analyse it. Formulas, pivot tables, and simple statistics.
  5. Show it. Charts and a short dashboard.
  6. Explain it. One clear insight and a suggested action.

Skills to learn

Why projects matter

Hiring managers want to see that you can solve a real problem. A project that goes from a manager's request to a final report shows more than a list of functions.

Cellgrids Excel for Data and Business Analytics

This course starts from the basics and takes you to a full office project: clean data, analyse it with formulas and pivot tables, build a dashboard and present the result. It ends with a test and a certificate. Also read our data analyst interview questions.

Learn it step by step: Excel for Data & Business Analytics

A structured course with a live practice sheet in every lesson, exercise files, a test and a certificate you can verify online. See the full syllabus before you decide.

View the course → All courses Free practice

Frequently asked questions

Is Excel enough to become a data analyst?

It is a strong start. Most analyst roles also expect SQL and a BI tool such as Power BI, but Excel skills are asked in almost every interview.

What Excel skills do analysts use most?

Pivot tables, lookups, SUMIFS and COUNTIFS, data cleaning and charts.

Do I need to know statistics?

Basic averages, percentages and growth are enough to start.