Data Mining with Python Course
This course provides hands-on experience in data mining using Python, covering data loading, cleaning, feature engineering, segmentation, and reporting for actionable business insights.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Data Mining with Python course teaches you how to set up a solid Python setup, load and check real data sets using pandas, and look at them with simple charts. You will clean the data, deal with missing parts, create features based on time, and make segments using rules. In the end, you will change patterns into solid suggestions and short reports that decision-makers can rely on and use right away.
Elevify advantages
Develop skills
- Clean and check Python data sets quickly with strong handling of missing data.
- Create strong time-based features and engagement measures in pandas.
- Build rule-based customer groups and simple scoring models for fast results.
- Make clear charts and pivot checks that show user actions.
- Provide repeatable, business-ready data mining reports with straightforward insights.
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 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 really help with learning.
André FelipePrompt Engineering Student
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