The Weekend Data Analyst: Use Excel, AI, and Better Questions to Turn Workplace Data Into Clear Business Decisions

By Dr. Dinesh Kumar Jangra

Turn workplace data into clearer decisions without becoming a technical analyst.

The spreadsheet is open. The meeting is tomorrow. Someone has asked for "the numbers".

You have the file. You have the pressure. What you may not have is the decision.

The Weekend Data Analyst gives non-technical professionals a practical weekend method for turning ordinary workplace data into a one-page decision brief.

This is not a coding book. It is not a technical analytics textbook. It is a practical guide for managers, team leaders, HR professionals, consultants, educators, operations leads, and mid-career knowledge workers who need to make better decisions from data.

Inside, Dr. Dinesh Kumar Jangra introduces The 48-Hour Insight Sprint, a clear method for moving from messy data to useful judgement.

You will learn how to:

Frame the decision before opening the spreadsheet.Check whether the dataset can support the decision.Clean obvious errors without becoming a data engineer.Use Excel, AI, and better questions to find the business signal.Build simple views and charts that clarify action.Test weak evidence before trusting the story.Write a one-page decision brief with risks, assumptions, and next steps.Defend your recommendation without overselling the data.

The book keeps Excel as the default tool. AI is used as a thinking partner, not an authority. Power BI, Tableau, and Jupyter are included as optional paths when they reduce friction.

By the end, you will know how to take one workplace dataset and turn it into a short, credible recommendation that can support a real meeting, client discussion, team review, or management decision.

If you work with reports, dashboards, spreadsheets, survey results, customer data, training records, project trackers, or operational metrics, this book will help you become more useful around evidence.

The goal is simple.

Use better questions to turn data into decisions.

• Format: Paperback
• Language: English
• ISBN: B0H4GTLPLV
• ISBN13: 9798180560117
• Release Date: June 2026
• Publisher: Independently Published
• Length: 288 Pages
• Weight: 0.77 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"