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Data Science Crash Course

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

What will I learn?

You will learn how to manipulate and clean data using Python, perform exploratory data analysis, and apply statistical thinking to draw valid conclusions. The course covers supervised and unsupervised machine learning, feature engineering, and model evaluation using scikit-learn. You will also work with SQL, build interactive visualizations, and get an introduction to deep learning and MLOps basics. Ethical considerations and responsible AI practices are included throughout. By the end, you will have a complete portfolio project and the career development skills to land your first data science role.

Elevify advantages

Develop skills

  • Python Data Manipulation: Load, clean, and reshape any dataset using pandas and NumPy with confidence.
  • Machine Learning Modeling: Train, evaluate, and tune supervised models with scikit-learn pipelines.
  • Exploratory Data Analysis: Uncover patterns and communicate findings through statistical summaries and visualizations.
  • End-to-End Project Delivery: Build portfolio-ready data science projects from raw data to presented results.

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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