Theory alone won’t get you hired—hands-on projects prove your skills and problem-solving ability. These projects cover key areas in data science and analytics, including web scraping, ETL pipelines on Azure & AWS, dashboards, and real data analyses like Covid and YouTube datasets.
Completing projects like these will make your resume stand out and boost your confidence in interviews. Start building today and showcase career-ready results!
Recommended Data Science Projects
- End-to-End Project: Web Scraping to Tableau Dashboard
Learn to scrape data from the web, clean and analyze it, then visualize insights in Tableau.
Watch Project - Building Data Models and Writing ETL Jobs
Understand how to build scalable data models and automate ETL pipelines.
Watch Playlist - ETL Project in Azure Data Factory
Get hands-on with Azure’s ETL tools, syncing, and pipeline building.
Watch Project - ETL Pipeline on AWS Cloud
Master AWS cloud services for creating automated ETL workflows.
Watch Playlist - Covid Data Analysis Project
Analyze pandemic data to uncover trends and visualize key findings.
Watch Playlist - YouTube Data Analysis (End-to-End Data Engineering)
Large-scale project to analyze YouTube data with ingestion, processing, and visualization.
Watch Playlist
Additional Project Ideas for Your Portfolio
Explore further inspiration from leading data science sites:
- Fake News Detection using NLP and machine learning
- Customer Churn Prediction models
- Movie Recommendation Systems
- Credit Card Fraud Detection
- Stock Price Prediction with time series analysis
- Sentiment Analysis on social media data
- Real-time Drowsiness Detection with computer vision
Explore more project ideas and source code on:
- Inspirit AI’s Top Data Science Projects for 2025
- GeeksforGeeks Top 65+ Data Science Projects
- Data Science Portfolio Guide by BrainStation
Building projects is the fastest way to grow your skills, refine your resume, and impress recruiters. Start with a project that excites you and progressively take on bigger challenges!
Also Checkout
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