DS Course
Master the full data science lifecycle — from Python fundamentals and exploratory analysis to machine learning, model deployment, and MLOps. This course gives you the technical skills and practical workflows that employers actually look for. Whether you're breaking into the field or leveling up, you'll graduate ready to deliver real data products.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
You will build a strong foundation in Python, NumPy, and Pandas before moving into exploratory data analysis, feature engineering, and supervised and unsupervised machine learning. You will train regression and classification models, tune hyperparameters, and handle class imbalance in real datasets. The course also covers model interpretability with SHAP, experiment tracking with MLflow, and deploying models via FastAPI and Docker. Supplementary modules introduce SQL, deep learning, NLP, time series forecasting, and data storytelling. By the end, you will have the skills and portfolio projects to compete for data science roles.
Elevify advantages
Develop skills
- Exploratory Data Analysis: Profile, visualize, and summarize datasets to guide modeling decisions.
- Machine Learning Modeling: Build and evaluate regression, classification, and clustering models with scikit-learn.
- Model Deployment: Package trained models into REST APIs and Docker containers for production use.
- Data Wrangling: Clean, transform, and engineer features from raw data using Pandas and NumPy.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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