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Data Science Course

Data Science Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

You will learn Python programming, data cleaning with pandas, and exploratory data analysis using real datasets. The course covers probability, statistics, and supervised machine learning algorithms including regression, classification, and ensemble methods. You will also work with unsupervised learning techniques such as clustering and dimensionality reduction. Supplementary modules introduce SQL, deep learning, NLP, and MLOps practices. Every chapter builds towards a complete, deployable data science project you can showcase to employers.

Elevify advantages

Develop skills

  • Python Data Pipelines: Build automated, reusable workflows to clean and transform raw datasets.
  • Machine Learning Modelling: Train, evaluate, and tune supervised and ensemble algorithms with scikit-learn.
  • Exploratory Data Analysis: Uncover patterns and insights using statistical summaries and professional visualizations.
  • Model Deployment: Wrap trained models in Flask REST APIs and deliver predictions in production environments.

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.
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 change 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 change chapters and skip content that I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
André Felipe
André FelipePrompt Engineering Student

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