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Data Science and Analytics Course

Data Science and Analytics Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This Data Science and Analytics Course gives you practical, end-to-end skills to turn raw event data into clear, actionable insights. You learn sessionisation, funnels, cohort and churn analysis, A/B testing, attribution, and key metrics, plus data quality checks, privacy essentials, and simple predictive models. Finish ready to design reliable dashboards, measure impact, and recommend confident, data-driven decisions.

Elevify advantages

Develop skills

  • Funnel analytics: compute and optimise stepwise conversion with SQL or pandas.
  • Cohort and churn insight: build retention views and detect early risk signals fast.
  • A/B testing mastery: design, run, and interpret clean experiments on event data.
  • Predictive modelling: ship quick logistic and tree models from raw behavioural events.
  • Impact reporting: turn analyses into clear KPI dashboards and actionable decisions.

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 got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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