Data Science Portfolio - Free Datasets & Projects

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20 Step-by-Step Data Analysis Projects with Python Code Below are popular data analysis projects from Kaggle, Github, and Medium users. They will: - Help you gain skills in working with real data - Introduce you to Python libraries for data analysis - Inspire you for your own data analysis projects Coffee Shop Sales Analysis FIFA World Cup Data Analysis ADIDAS Sales Analysis Netflix Data Analysis (1) Zomato Data Analysis Product Sales Analysis Uber Rides Data Analysis Smartwatch Data Analysis Financial Budget Analysis Netflix Data Analysis (2) Video Game Sales Analysis Is There a Trend of Increasing Geek Girls? Let's Discover More About the Olympic Games! Marketing Analysis Animal Shelter Data Analysis Amazon Data Analysis Billionaire Data Analysis Credit Card Data Analysis  Pokemon Data Analysis Spotify Data Analysis. What Does It Take to Hit the Charts If you find this content useful, give it 👍❤️

Data Science Projects With Source Code💻 Recommendation System for Films https://github.com/topics/movie-recommendation-system Recognition of traffic signals https://github.com/topics/traffic-sign-recognition Detection of Drowsiness in Drivers https://github.com/topics/driver-drowsiness-detection Speech Emotion Recognition https://github.com/topics/speech-emotion-recognition Sentimental Analysis https://github.com/yashspr/sentiment_analysis_ml_part

🚀Here are 5 fresh Project ideas for Data Analysts 👇 🎯 𝗔𝗶𝗿𝗯𝗻𝗯 𝗢𝗽𝗲𝗻 𝗗𝗮𝘁𝗮 🏠 https://www.kaggle.com/datasets/arianazmoudeh/airbnbopendata 💡This dataset describes the listing activity of homestays in New York City 🎯 𝗧𝗼𝗽 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝘀𝗼𝗻𝗴𝘀 𝗳𝗿𝗼𝗺 𝟮𝟬𝟭𝟬-𝟮𝟬𝟭𝟵 🎵 https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year 🎯𝗪𝗮𝗹𝗺𝗮𝗿𝘁 𝗦𝘁𝗼𝗿𝗲 𝗦𝗮𝗹𝗲𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 📈 https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/data 💡Use historical markdown data to predict store sales 🎯 𝗡𝗲𝘁𝗳𝗹𝗶𝘅 𝗠𝗼𝘃𝗶𝗲𝘀 𝗮𝗻𝗱 𝗧𝗩 𝗦𝗵𝗼𝘄𝘀 📺 https://www.kaggle.com/datasets/shivamb/netflix-shows 💡Listings of movies and tv shows on Netflix - Regularly Updated 🎯𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗷𝗼𝗯𝘀 𝗹𝗶𝘀𝘁𝗶𝗻𝗴𝘀 💼 https://www.kaggle.com/datasets/cedricaubin/linkedin-data-analyst-jobs-listings 💡More than 8400 rows of data analyst jobs from USA, Canada and Africa. Join for more -> https://t.me/addlist/KBNT2WWRIEs0NzIx ENJOY LEARNING 👍👍

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5 Handy Tips to master Data Science ⬇️ 1️⃣ Begin with introductory projects that cover the fundamental concepts of data science, such as data exploration, cleaning, and visualization. These projects will help you get familiar with common data science tools and libraries like Python (Pandas, NumPy, Matplotlib), R, SQL, and Excel 2️⃣ Look for publicly available datasets from sources like Kaggle, UCI Machine Learning Repository. Working with real-world data will expose you to the challenges of messy, incomplete, and heterogeneous data, which is common in practical scenarios. 3️⃣ Explore various data science techniques like regression, classification, clustering, and time series analysis. Apply these techniques to different datasets and domains to gain a broader understanding of their strengths, weaknesses, and appropriate use cases. 4️⃣ Work on projects that involve the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment. This will help you understand how different components of the data science process fit together. 5️⃣ Consistent practice is key to mastering any skill. Set aside dedicated time to work on data science projects, and gradually increase the complexity and scope of your projects as you gain more experience.

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