Data Analysis Python Course
This course equips learners with essential Python skills for data analysis, focusing on pandas, numpy, matplotlib, and seaborn to process, explore, and visualize sales and customer data effectively.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Data Analysis Python Course teaches you to load, inspect, clean, and transform real sales and customer datasets using pandas and numpy, then explore them with powerful EDA techniques. You will build time series summaries, segmentation views, and top-N product rankings, create clear visualizations in matplotlib and seaborn, define key revenue metrics, and present concise, actionable reports with reproducible, well-documented code.
Elevify advantages
Develop skills
- BI-ready data cleaning: quickly fix missing, invalid, and inconsistent records.
- Practical pandas EDA: segment, aggregate, and rank sales and customer metrics fast.
- Time-series revenue analysis: resample, group, and compare MoM and YoY performance.
- Clear BI storytelling: turn charts and tables into concise, executive-ready insights.
- Python reporting visuals: build and reuse polished matplotlib and seaborn dashboards.
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.What our students say
Your classes 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'm grateful 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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