- Instructor: admin
- Duration: 6 days
At AxeUSCE, we understand the complexities faced by clinicians in balancing the demands of patient care with the need for ongoing professional education. To support your educational initiatives, we provide a specialized service for the creation of high-quality, tailored journal club slides designed specifically for your clinical trials.
Empower your research and clinical decision-making with data-driven insights. The AxeUSCE Machine Learning & Advanced Data Analysis Course is designed for medical professionals, researchers, and data enthusiasts eager to harness the power of cutting-edge tools like H2O AI, STATA v19, and SHAP analysis. Whether you’re aiming to enhance your residency application or boost your research output, this course will elevate your ability to extract, model, and interpret complex datasets with clarity and precision.
What You’ll Learn:
🔹 H2O AI Platform
- Automated machine learning (AutoML)
- Predictive modeling and performance optimization
- High-quality data visualization
🔹 Machine Learning Fundamentals
- Supervised learning: Regression & Classification
- Unsupervised learning: Clustering & Dimensionality Reduction
- Practical applications in medical and public health datasets
🔹 STATA v19 Mastery
- Advanced statistical modeling
- Data management, transformation, and analysis
- Graphical representation and result interpretation
🔹 SHAP (SHapley Additive exPlanations) Analysis
- Model interpretability and transparency
- Understanding individual feature contributions
- Trust-building insights into machine learning models
Why Choose Machine Learning Analysis?
✅ Improved Accuracy: Handle complex, non-linear relationships for reliable predictions
✅ Greater Efficiency: Automate and accelerate analysis of large datasets
✅ Better Interpretability: Use SHAP to demystify black-box algorithms and validate results
Course Format & Features:
- Duration: 6 interactive sessions (mostly on weekends)
- Mode: Live Zoom-based training + access to recorded/self-paced materials
- Bonus: Hands-on projects with real-world datasets
- Software Required: STATA v19 and access to H2O AI (free, open-source tools provided)
Ideal for:
- Medical students and IMGs preparing for U.S. residency
- Public health researchers and analysts
- Clinicians pursuing data-driven academic research
Contact Us
For further details or to inquire about our services, please feel free to contact us:
Email: info@axeusce.com
WhatsApp:  +1 (347) 878‑3898
