Here are some of the best real-time projects for learning Data Science, ideal for both beginners and intermediate learners:
1. Customer Churn Prediction
- Domain: Telecom / SaaS
- Skills Used: Logistic Regression, Classification, EDA
- Goal: Predict whether a customer will leave the service.
- Dataset: Telco Customer Churn (Kaggle)
2. Movie Recommendation System
- Domain: Entertainment
- Skills Used: Collaborative Filtering, Matrix Factorization, NLP (optional)
- Goal: Suggest movies to users based on their viewing history.
- Dataset: MovieLens Dataset
3. Sentiment Analysis on Tweets or Reviews
- Domain: Social Media / Marketing
- Skills Used: NLP, Text Cleaning, Classification
- Goal: Classify user feedback into positive, negative, or neutral sentiments.
- Dataset: Twitter Sentiment or IMDB Reviews
4. Stock Price Prediction
- Domain: Finance
- Skills Used: Time Series Forecasting, ARIMA, LSTM (deep learning). Also, explore Data Science Interview Questions and Answers
- Goal: Predict the future stock price of a company.
- Dataset: Yahoo Finance API / Kaggle
5. Sales Forecasting
- Domain: Retail / E-commerce
- Skills Used: Time Series, Regression, Data Preprocessing
- Goal: Forecast monthly or daily sales for inventory planning.
- Dataset: Walmart Sales Forecasting
6. Credit Card Fraud Detection
- Domain: Banking
- Skills Used: Anomaly Detection, Classification
- Goal: Detect unusual or fraudulent transactions.
- Dataset: Kaggle Credit Card Fraud Detection