Data Science and Machine Learning Course
This course equips learners with essential data science and machine learning skills, focusing on practical applications for real-world datasets, model building, evaluation, and business impact.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Data Science and Machine Learning Course teaches you how to explore real datasets, clean and engineer powerful features, and design robust train/test splits and cross-validation. You will practice building and tuning tree-based and linear models, handling imbalance, and evaluating results with the right metrics. Learn to explain model behaviour, communicate impact, and deliver clear, reproducible work that drives measurable results.
Elevify advantages
Develop skills
- Advanced feature engineering: build powerful churn signals in days, not weeks.
- Robust model training: select and tune tree and linear models with Python libs fast.
- Time-aware validation: design temporal splits and cross-validation for real data.
- Model explainability: use SHAP and feature importance to justify decisions clearly.
- Business-first analytics: turn model outputs into ROI-focused churn actions quickly.
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 workloadWhat our students say
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