Data Science Engineering Course
Master real-world data science engineering: frame business problems, build robust pipelines, engineer features, handle sensor faults, deploy and monitor models, and optimise performance for production-ready, high-impact technology solutions in practical Kenyan contexts.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical Data Science Engineering Course teaches framing ML problems, defining KPIs, respecting real-world constraints, feature engineering, time-aware validation, class imbalance handling, interpretability, robust pipelines, sensor data quality management, automated training, and monitoring for reliable deployments.
Elevify advantages
Develop skills
- Production ML design: frame KPIs, constraints, and targets for real systems.
- Robust data pipelines: validate schemas, handle drift, and clean sensor streams.
- Advanced feature engineering: build temporal, rolling, and cross-machine signals.
- Model training & evaluation: tune GBMs/logistic models with business metrics.
- MLOps automation: deploy, monitor, retrain, and rollback models with confidence.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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