Data Science
Data Science is about turning raw numbers into meaningful stories. You will use statistics, programming, and visualization to help organizations make smarter decisions.
Stage-by-stage path 🗺️
Click any stage to expand and see what to learn + free resources.
- Descriptive stats: mean, median, variance
- Probability and distributions
- Excel and basic data analysis
- Python: Pandas and Matplotlib
- Data cleaning and handling missing values
- Exploratory Data Analysis (EDA)
- SQL for querying databases
- Building dashboards with Tableau or Power BI
- Predictive modelling with scikit-learn
- Feature engineering and selection
- Model evaluation metrics
- A/B testing and hypothesis testing
- Deep learning for tabular data
- Time-series forecasting
- Data storytelling and executive communication
- End-to-end data pipeline and deployment
Career paths 💼
Data Scientist
₹8–35 LPAData Analyst
₹5–20 LPABusiness Intelligence Engineer
₹7–25 LPATop free resources 🎓
100% free. No subscriptions. Direct links.
Capstone project ideas 🛠️
Portfolio-grade projects that prove you know your stuff.
Predict house prices using historical real-estate data
Build a sales dashboard that updates automatically from a database