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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 provides practical, end-to-end skills to transform raw event data into clear, actionable insights. You'll learn sessionisation, funnels, cohort and churn analysis, A/B testing, attribution, and key metrics, along with data quality checks, privacy essentials, and simple predictive models. By the end, you'll be equipped to design reliable dashboards, measure impact, and make confident, data-driven recommendations.

Elevify advantages

Develop skills

  • Funnel analytics: compute and optimise stepwise conversion using SQL or pandas.
  • Cohort and churn insight: build retention views and detect early risk signals quickly.
  • A/B testing mastery: design, run, and interpret clean experiments on event data.
  • Predictive modelling: deploy 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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