Assessfy Foundation Projects Lab Beginner 5 milestones 100 marks

Counting Positive and Negative Product Reviews from a CSV File

Discipline: Marketing Analytics Level: Foundation Industry: Marketing Function: Marketing Team: up to 3 Assessment: 5 milestones (100 marks)

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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Milestones

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Core skills

About this project

What you'll build: You'll create a simple program that reads a spreadsheet of product reviews and counts how many are positive or negative using basic text analysis.

Why it's a good starter: This project uses real-world data (customer reviews) and walks you through each step with beginner-friendly tools and clear instructions. No prior experience in data science is needed!

What you'll learn: You'll practice basic data handling, text analysis, and simple coding, building a foundation for more advanced marketing analytics projects in the future.

Milestones

1. Setup & Plan

10 marks 5d

Submit a brief plan outlining steps and confirm you can open/run a Python notebook. Show a screenshot of your environment running (e.g., Google Colab or Jupyter Notebook).

2. Core Build Part 1: Read & Display CSV

25 marks 7d

Submit code that loads a sample CSV of product reviews and displays the first 5 rows. Include a screenshot and short comment on what you see.

3. Core Build Part 2: Sentiment Tally

35 marks 10d

Submit code that checks each review for positive/negative words (using a simple word list), counts positives and negatives, and prints totals. Show your results.

4. Testing & Polish

15 marks 5d

Test your program with a new CSV file or tweak your word list. Submit proof it works and briefly explain any changes or problems you solved.

5. Demo & Short Report

15 marks 5d

Share your final notebook and a short, friendly report (150-200 words) describing what you built, key results, and what you learned.

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Skills you'll learn

Marketing AnalyticsLoading and viewing CSV dataBasic Python programmingSimple text analysis (sentiment tally)Counting and summarizing resultsPresenting findings in a clear format

Tools used

Google Colab or Jupyter NotebookPython (with pandas)Sample CSV fileFree sentiment word list (e.g.AFINN or custom list)

Prerequisites

Basic programming (any language)School-level maths (countingpercentages)

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You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.

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Certificate of Project Completion

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You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.

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Counting Positive and Negative Produc…

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