Data Science Crash Course
Go from zero to job-ready data scientist with a curriculum that covers Python, statistics, machine learning, and real-world project delivery. Every concept is grounded in practical application so you build skills employers actually hire for. This is the complete foundation you need to break into data science with confidence.
from 4 to 360h flexible workload
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 visualisations, 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 confidently.
- Machine Learning Modelling: Train, evaluate, and tune supervised models with scikit-learn pipelines.
- Exploratory Data Analysis: Uncover patterns and communicate findings through statistical summaries and visualisations.
- 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.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 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.
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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