Here are some good data science projects—suitable for learners and professionals alike—that cover key concepts like data cleaning, visualization, machine learning, and deployment:
1. Customer Churn Prediction
What it covers: Classification, feature engineering, model evaluation.
Use case: Predict which customers are likely to leave a service using historical data.
Tools: Python, scikit-learn, pandas, seaborn.
2. Sales Forecasting
What it covers: Time series analysis, regression, visualization.
Use case: Forecast future sales based on past trends.
Tools: Python, Prophet, ARIMA, Excel, Power BI.
3. Sentiment Analysis of Tweets or Reviews
What it covers: Natural Language Processing (NLP), text preprocessing, classification.
Use case: Analyze public sentiment about products, politics, or brands.
Tools: NLTK, TextBlob, spaCy, Python.
Pune, Maharashtra, India