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

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Data Science Roadmap Course provides a straightforward, hands-on guide from basic principles to skills ready for the job market. You will gain assurance in Python, SQL, statistics, data visualisation, and machine learning, then put them into practice with directed projects, A/B testing, and portfolio development. Discover how to evaluate your abilities, bridge skill shortages, and get ready impressive CVs, profiles, and interviews for sought-after positions.
Elevify advantages
Develop skills
- Data science basics: quickly master Python, SQL, statistics and machine learning fundamentals.
- Hands-on modelling: construct, assess and explain supervised machine learning models.
- Data processing and analysis: tidy data, create features and produce clear visuals.
- Complete projects: plan, carry out and showcase case studies fit for your portfolio.
- Job preparation: refine your CV, portfolio, connections and data science interview abilities.
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 workloadWhat 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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