Data Science and Machine Learning
A data science training path spanning machine learning fundamentals, analytical thinking, model evaluation, and practical experimentation.
A data science training path spanning machine learning fundamentals, analytical thinking, model evaluation, and practical experimentation.
End-to-end consulting for ML and AI initiatives, from use-case validation to production-ready workflows and stakeholder adoption.
A Python training path for data analysis, automation, machine learning preparation, and practical programming in analytics environments.
Programme Week Topic 1–4 Python, statistics, data wrangling 5–8 Supervised learning, model evaluation 9–12 Deep learning, NLP, computer vision 13–16 MLOps, GCP deployment, capstone Materials Lecture notes and notebooks are available to enrolled students via the course portal.