Udemy

Free Google Sheets Data Analysis Mini-Course: Clean, Explore and Present

A small dataset can reveal whether you enjoy the everyday steps of analysis. Reem Alashhab uses a bicycle-sales dataset to introduce collecting data, cleaning a spreadsheet, exploring patterns and presenting findings through a dashboard.

Free Google Sheets Data Analysis Mini-Course: Clean, Explore and Present — Reem Alashhab. WikiFree selection.
Free learning access

Listed as Free on Udemy when checked on 21 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.

About this course

A small dataset can reveal whether you enjoy the everyday steps of analysis. Reem Alashhab uses a bicycle-sales dataset to introduce collecting data, cleaning a spreadsheet, exploring patterns and presenting findings through a dashboard.

The lesson sequence includes missing values, duplicates and formatting before moving to pivot tables, charts and recommendations. The course is framed as a short tryout of analytical work, helping learners see how those activities connect within one example.

Official course Are You a Real Data Analyst ?
Created by Reem Alashhab
Platform Udemy
Language English
Level Beginner — Udemy listing
Listed duration 52 minutes; 10 lectures across 1 sections
Certificate Not included with a new free enrollment

Skills you’ll gain

  • Recognizing common spreadsheet data-quality issues
  • Following a cleaning and exploration sequence
  • Summarizing a dataset with pivot tables and charts
  • Connecting dashboard findings with a recommendation

Basic familiarity with Google Sheets is expected. The listed 52-minute course provides a guided introduction, not a complete preparation for an analyst job or a substitute for repeated practice with different datasets.

Cleaning decisions need context. A missing value is not automatically a reason to delete a record: first consider what the field represents and how removal could change the analysis. Keep a copy of the original data and record the reasons for changes when applying the demonstrated workflow to your own work.

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Choose your next step

Understand data quality more deeply: Data quality and reference data. Explore why definitions and consistent values matter before making analytical decisions.

Try a programming-based approach: Python data analysis and pandas filtering. Compare spreadsheet exploration with a focused introduction to working with data in Python.

Frequently asked questions

Do I need Python for this course?

No. The demonstrated workflow uses Google Sheets, with basic spreadsheet knowledge expected.

Should I delete every row with a missing value?

No. Choose a treatment based on the meaning of the field and the purpose of the analysis. Removing rows without considering the context can distort results.

Checked on 21 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.

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