No-Code Data Science and Machine Learning
About this course
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.
68/100
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- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- build no-code data pipelines
- train visual machine learning models
- deploy AutoML solutions
- evaluate predictive models
- integrate machine learning outputs into business tools
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