16 weeks · Intermediate
Data Science & Predictive Modeling
Master statistical modeling, predictive algorithms, and production machine learning.
Course Overview
A rigorous 16-week program taking you from advanced Python programming and inferential statistics to deep machine learning algorithms and cloud model deployment. Build predictive engines using real-world enterprise datasets.
ModeBangalore Lab & Live Online
BatchesWeekend & Evening
CertificateVerified on Capstone
Curriculum & Modules
4 Detailed Modules1Python for Data Science & Math Foundations
- Advanced NumPy & Pandas operations
- Linear algebra & calculus for ML
- Probability distributions & hypothesis testing
- Statistical inference & sampling
2Supervised & Unsupervised Machine Learning
- Linear & logistic regression
- Decision trees, Random Forests & XGBoost
- K-Means, PCA & dimensionality reduction
- Cross-validation & hyperparameter tuning
3Time Series & Natural Language Processing
- ARIMA & Prophet forecasting
- Text preprocessing & TF-IDF
- Word embeddings & sentiment analysis
- Feature engineering pipelines
4Model Deployment & Capstone Engine
- FastAPI microservices for ML
- Dockerizing machine learning pipelines
- Cloud deployment on AWS/Render
- Production Predictive Engine Capstone
Portfolio Projects You Will Build
Project 1
Algorithmic Stock & Demand Forecasting Engine
GitHub Repository & Live Deployment Ready
Project 2
Credit Scoring & Fraud Detection Pipeline
GitHub Repository & Live Deployment Ready
Project 3
Real-Time NLP Sentiment Classifier
GitHub Repository & Live Deployment Ready
Project 4
Full Production Machine Learning Capstone
GitHub Repository & Live Deployment Ready
Tools & Tech Stack
PythonJupyterscikit-learnPandasNumPyFastAPIDockerStatsmodelsAWS
Target Job Roles
- Junior Data Scientist
- Machine Learning Specialist
- Quantitative Analyst
- Data Science Consultant
Free Batch Demo
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