While we've touched on a multitude of different programming languages and skills, these are some of the most prevalent.
- Data Science
- Statistical Inference
- R Language
- Python 3 via the iPython Jupyter Notebook
- Database management with MariaDB/MySQL/Microsoft SQL Server
- Network management using the Raspberry Pi
- HIPAA/Privacy Management
- Project Management
- Machine Learning
- Supervised Learning Models, such as Random Forest Trees and Support Vector Machines to build classification and regression models
- Unsupervised Models, such as K-Means Clustering and Agglomerative Clustering
- Feature selection, cross-validation methods and scaling techniques were also reviewed.
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