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Data Science Course for Beginners

Data Science Course for Beginners
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will learn how to set up a professional Python environment and manipulate data using NumPy and Pandas. The course covers exploratory data analysis, data cleaning, and feature engineering so your data is always model-ready. You will build and evaluate regression and classification models, then advance to ensemble methods like XGBoost and Random Forests. Unsupervised learning techniques, including clustering and PCA, round out your modeling toolkit. You will also gain practical skills in SQL, data visualization, and responsible AI. By the end, you will have a documented, deployable project and a GitHub portfolio ready to show hiring managers.

Elevify advantages

Develop skills

  • Python for Data Science: Write clean Python scripts to load, transform, and analyze real datasets.
  • Machine Learning Modeling: Train, evaluate, and tune supervised and ensemble models using scikit-learn.
  • Exploratory Data Analysis: Detect patterns, outliers, and relationships in raw data before modeling.
  • End-to-End Project Delivery: Build reproducible pipelines and deploy trained models as REST API endpoints.

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'm grateful 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 I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, 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 with learning.
André Felipe
André FelipePrompt Engineering Student

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