Data Science Roadmap Course
This course offers a comprehensive roadmap to becoming a data scientist, covering essential tools and techniques through practical projects and career preparation.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Data Science Roadmap Course provides a straightforward, hands-on route from basic principles to skills ready for employment. You'll gain assurance in Python, SQL, statistics, data visualisation, and machine learning, then put them into practice via directed projects, A/B testing, and portfolio tasks. Discover how to evaluate your abilities, bridge skill shortages, and ready impressive CVs, profiles, and interviews for sought-after positions.
Elevify advantages
Develop skills
- Data science basics: quickly grasp Python, SQL, statistics and ML fundamentals.
- Hands-on modelling: construct, assess and explain supervised ML models.
- Data flows & EDA: tidy data, create features and produce clear visuals.
- Complete projects: plan, carry out and showcase portfolio-suitable case studies.
- Employment preparation: refine CV, portfolio, connections and data science interview abilities.
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.What our students say
Your lessons 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 change 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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