This specialization is designed to give you a complete, structured pathway to master data science and machine learning — from building no-code data pipelines in KNIME to training visual ML models in Orange to deploying AutoML solutions on Google Vertex AI.
Each course is built around step-by-step instructor video demonstrations that you follow along on your own setup — pausing, replaying, and practicing every technique at your own pace across three project-driven courses:
Build Your First No-Code Data Workflow: Collect, clean, transform, and explore data using KNIME Analytics Platform.
Applied Machine Learning Without Coding: Build, evaluate, and tune regression and classification models visually using Orange Data Mining.
AutoML: Build ML Models without Code: Train, deploy, and monitor production-ready ML models for structured data, vision, and NLP using Google Vertex AI.
By the end of this specialization, you'll design complete no-code ML pipelines, evaluate predictive models, deploy cloud-based predictions, and integrate ML outputs into real business tools — all without writing a single line of code.
Applied Learning Project
Throughout this specialization, you will follow along with instructor-led demonstrations to build three hands-on projects: a no-code data intelligence pipeline in KNIME, a comparative ML model evaluation workflow in Orange, and an AutoML deployment project on Google Vertex AI. Each demo is designed so you can replicate every step in your own environment — pausing and practicing as you go — and finish with a portfolio of real, deployable data science and ML solutions.
