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DS Course

DS Course
4 to 360 hours of 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 Differentials

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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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 switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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