Business Analytics and Big Data Course
This course equips learners with essential skills in business analytics and big data, focusing on e-commerce data handling, SQL querying, KPI computation, funnel analysis, and visualization using Python and PySpark.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Business Analytics and Big Data Course teaches you to design e-commerce schemas, load and clean large CSV datasets, and build reliable SQL queries for revenue, conversion, and attribution. You will compute core KPIs, analyze funnels by country, device, and channel, and turn insights into clear recommendations, experiments, and dashboards using Python, pandas, PySpark, and modern visualization tools.
Elevify advantages
Develop skills
- E-commerce SQL analytics: compute revenue, funnels, and conversion KPIs fast.
- Marketing attribution in SQL: first-touch, last-touch, and channel ROI views.
- Python and PySpark for cohorts: retention, funnels, and event-level behavior.
- Data modeling and ingestion: design schemas and load large CSVs efficiently.
- Data quality checks: profile, clean, and validate BI datasets with confidence.
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 classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

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 CarloPrompt Engineering Student
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