Top 65+ Data Science Projects with Source Code
Last Updated :
17 Nov, 2024
Dive into the exciting world of data science with our Top 65+ Data Science Projects with Source Code. These projects are designed to help you gain hands-on experience and sharpen your skills, whether you’re a beginner or looking to upscale your data science knowledge.
Covering everything from trend predictions to data visualizations, these projects let you work with real-world datasets and tackle practical challenges. Perfect for students, job seekers, and data enthusiasts, these projects will help you stand out in the competitive field of data science. Let’s dive in and start building!
Explore cutting-edge data science projects with complete source code for 2025. These top Data Science Projects cover a range of applications, from machine learning and predictive analytics to natural language processing and computer vision. Dive into real-world examples to enhance your skills and understanding of data science.
Best Data Science Projects With Source Code
Here are the best Data Science Projects with source code for beginners and experts to give a great learning experience. These projects help you understand the applications of data science by providing real world problems and solutions.
These projects use various technologies like Pandas, Matplotlib, Scikit-learn, TensorFlow, and many more. Deep learning projects commonly use TensorFlow and PyTorch, while NLP projects leverage NLTK, SpaCy, and TensorFlow.
We have categorized these projects into 6 categories. This will help you understand data science and it's uses in different field. You can specialize in a particular field or build a diverse portfolio for job hunting.
Web Scraping Projects
Explore the fascinating world of web scraping by building these data science projects with these exciting examples.
- Quote Scraping
- Wikipedia Text Scraping and cleaning
- Movies Review Scraping And Analysis
- Product Price Scraping and Analysis
- News Scraping and Analysis
- Real Estate Property Scraping and visualization, You can download the dataset from : https://www.kaggle.com/datasets/fredgirod/web-crawler-for-real-estate-market
- Geeksforgeeks Job Portal Web Scraping for Job Search
- YouTube Channel Videos Web Scrapping
- Real-time Share Price scrapping and analysis
Data Analysis & Visualizations
Go through on a data-driven journey with these captivating exploratory data analysis and visualization projects.
- Zomato Data Analysis Using Python
- IPL Data Analysis
- Airbnb Data Analysis
- Global Covid-19 Data Analysis and Visualizations
- Housing Price Analysis & Predictions
- Market Basket Analysis
- Titanic Dataset Analysis and Survival Predictions
- Iris Flower Dataset Analysis and Predictions
- Customer Churn Analysis
- Car Price Prediction Analysis
- Indian Election Data Analysis
- HR Analytics to Track Employee Performance
- Product Recommendation Analysis
- Credit Card Approvals Analysis & Predictions
- Uber Trips Data Analysis
- iPhone Sales Analysis
- Google Search Analysis
- World Happiness Report Analysis & Visualization
- Apple Smart Watch Data Analysis, You can download the dataset from : https://www.kaggle.com/datasets/aleespinosa/apple-watch-and-fitbit-data.
- Analyze International Debt Statistics, You can download the dataset from : https://www.kaggle.com/datasets/theworldbank/international-debt-statistics
Machine Learning Projects
Dive into the world of machine learning with these real world data science practical projects.
Time Series & Forecasting
Data Sceince Projects on time series and forecasting-
- Time Series Analysis with Stock Price Data
- Weather Data Analysis
- Time Series Analysis with Cryptocurrency Data
- Climate Change Data Analysis
- Anomaly Detection in Time Series Data
- Sales Forecast Prediction – Python
- Predictive Modeling for Sales or Demand Forecasting
- Air Quality Data Analysis and Dynamic Visualizations
- Gold Price Analysis and Forcasting Over Time
- Food Price Forecasting
- Time wise Unemployement Data Analysis
- Dogecoin Price Prediction with Machine Learning
Deep Learning Projects
Dive into these Data Science projects on Deep Learning to see how smart computers can get!
OpenCV Projects
Explore fascinating Data Science projects with OpenCV, a cool tool for playing with images and videos. You can do fun tasks like recognizing faces, tracking objects, and even creating your own Snapchat-like filters. Let's unleash the power of computer vision together!
NLP Projects
Discover the magic of NLP (Natural Language Processing) projects, where computers learn to understand human language. Dive into exciting tasks like sentiment analysis, chatbots, and language translation. Join the adventure of teaching computers to speak our language through these exciting projects.
Data Science Projects with Source Code Conclusion
In this journey through data science projects, we've explored a vast array of fascinating topics and applications. From uncovering insights in web scraping and exploratory data analysis to solving real-world problems with machine learning, deep learning, OpenCV, and NLP, we've witnessed the power of data-driven insights.
Whether it's predicting wine quality or detecting fraud, analyzing sentiments or forecasting sales, each project showcases how data science transforms raw data into actionable knowledge. With these projects, we've unlocked the potential of technology to make smarter decisions, improve processes, and enrich our understanding of the world around us.
Top Data Science Projects - FAQs
What is Data Science?
Data Science is all about making sense of big piles of data. It's like finding patterns and predicting future outcomes based on data. Data scientists use special tools and tricks to turn huge data into helpful information that can solve problems or make predictions.
What projects can be done in data science?
Data science projects can include web scraping, exploratory data analysis, machine learning, deep learning, computer vision, natural language processing, and more.
Which project is good for data science?
One of the most basic yet popular data science project is customer segmentation. Product based or service based, all companies need to work such that they can capture maximum users. This makes customer segmentation an important project.
How do I choose a data science project?
Choose a data science project based on your interests, available data, relevance to your goals, and potential impact on solving real-world problems.
What are the 10 main components of a data science project?
The 10 main components of a data science project include problem definition, data collection, data cleaning, exploratory data analysis, feature engineering, model selection, model training, model evaluation, results interpretation, and communication.
Are ML projects good for resume?
ML projects are excellent additions to a resume, showcasing practical skills, problem-solving abilities, and the ability to derive insights from data.