📊
💻 IT · 소프트웨어
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.
StatisticsPythonVisualizationPrediction
2–3 years
to get job-ready
YOUR ROADMAP
Stage-by-stage path 🗺️
Click any stage to expand and see what to learn + free resources.
📚 What you'll learn
- Descriptive stats: mean, median, variance
- Probability and distributions
- Excel and basic data analysis
- Python: Pandas and Matplotlib
📚 What you'll learn
- Data cleaning and handling missing values
- Exploratory Data Analysis (EDA)
- SQL for querying databases
- Building dashboards with Tableau or Power BI
📚 What you'll learn
- Predictive modelling with scikit-learn
- Feature engineering and selection
- Model evaluation metrics
- A/B testing and hypothesis testing
📚 What you'll learn
- Deep learning for tabular data
- Time-series forecasting
- Data storytelling and executive communication
- End-to-end data pipeline and deployment
🏆
Job Ready!
2–3 years of consistent learning
WHERE IT LEADS
Career paths 💼
🔬
Data Scientist
₹8–35 LPA📊
Data Analyst
₹5–20 LPA📈
Business Intelligence Engineer
₹7–25 LPASTART LEARNING TODAY
Top free resources 🎓
100% free. No subscriptions. Direct links.
BUILD SOMETHING REAL
Capstone project ideas 🛠️
Portfolio-grade projects that prove you know your stuff.
1
Predict house prices using historical real-estate data
2
Build a sales dashboard that updates automatically from a database
26개 전체 전공
26개 로드맵 전체 보기→당신의 엔지니어링 전공을 선택하세요.
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