Understand basic concepts of advanced analytics algorithms and gain a deep understanding of metrics and methods for evaluating machine learning models.
Our data science courses provide the conceptual background to the ideas behind turning data into actionable insights. You will learn the basic principles of data processing and feature engineering, the fundamentals of supervised and unsupervised learning and how to assess and compare machine learning models.
- Feature Engineering for Data Science
- Supervised Learning Techniques
- Unsupervised Learning Techniques
- Semi-supervised Learning Techniques
- Deep Learning
- Text Analytics
- Network Analytics
- Image Processing
- Model Assessment and Model Comparison
- Model Deployment
- Model Management