Data Science Fellowship Program
Transform raw data into actionable insights in our comprehensive 8-week program. Master analytics, machine learning, and visualization techniques.
Transform raw data into actionable insights in our comprehensive 8-week program. Master analytics, machine learning, and visualization techniques.
Our Data Science Fellowship bridges the gap between theory and practice. You'll work with real datasets, solve business problems, and master the tools used by top data scientists worldwide.
Intensive data science training
Industry-standard data projects
Data science professionals
Professional showcase projects
Comprehensive data science curriculum covering analytics, machine learning, and business intelligence
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Jul 22 - Jul 28
Week 1
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Data Analysis Fundamentals
Master data manipulation, cleaning, and exploratory data analysis using pandas and numpy. Build your first data analysis dashboard.
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Python Pandas NumPy Matplotlib Seaborn |
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Jul 29 - Aug 4
Week 2
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Statistical Analysis & Visualization
Dive deep into statistical methods, hypothesis testing, and create compelling data visualizations for business insights.
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Python Scipy Plotly Bokeh Statistical Methods |
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Aug 5 - Aug 11
Week 3
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Machine Learning Foundations
Learn supervised learning algorithms, model evaluation, and feature engineering techniques for predictive modeling.
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Scikit-learn Feature Engineering Cross-validation Grid Search Model Selection |
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Aug 12 - Aug 18
Week 4
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Advanced ML & Deep Learning
Implement advanced machine learning models, neural networks, and ensemble methods for complex data problems.
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TensorFlow Keras Ensemble Methods Deep Learning Neural Networks |
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Aug 19 - Aug 25
Week 5
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Time Series & Forecasting
Master time series analysis, forecasting models, and seasonal decomposition for business forecasting applications.
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ARIMA Prophet Time Series Seasonal Decomposition Forecasting |
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Aug 26 - Sep 1
Week 6
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Big Data & Cloud Analytics
Work with big data tools, cloud platforms, and distributed computing for large-scale data processing.
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Apache Spark AWS Google Cloud PySpark Distributed Computing |
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Sep 2 - Sep 8
Week 7
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Capstone Project 1: Business Intelligence Dashboard
Build a comprehensive BI dashboard with real-time data integration, advanced analytics, and interactive visualizations.
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Python Streamlit Tableau PowerBI Real-time Analytics APIs |
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Sep 9 - Sep 15
Week 8
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Capstone Project 2: ML Pipeline & Deployment
Create an end-to-end ML pipeline with automated model training, validation, deployment, and monitoring.
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MLOps Docker MLflow Model Deployment CI/CD Monitoring |
Our graduates land roles at top companies as:
Build predictive models and extract insights from complex datasets
Deploy and maintain machine learning systems at scale
Transform data into actionable business insights
Join our community of data professionals and start building your data science career today.