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Advanced Python Course
Step up ya Business Intelligence game wit our Advanced Python Course, design for professionals weh eager to use Python power for mekkin correct decisions base on data. Go deep inside predictive modeling wit decision trees and random forests, sabi customer segmentation well-well through clustering and RFM analysis, and make ya data visualization betta wit Matplotlib and Seaborn. Learn how to clean, fix, and check data fast, while you di create report weh correct and recommendations weh you fit use. Join now for change ya data skill and mek business do well.
- Sabi predictive modeling well: Build decision trees and use random forests.
- Do customer segmentation proper: Use clustering and RFM analysis for understandin customer dem.
- Do exploratory data analysis fine: Show data wit Matplotlib and Seaborn.
- Make data preprocessing strong: Handle data weh missin and fix data type dem quick-quick.
- Create report weh correct: Summarize data and give recommendations weh you fit act on.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Step up ya Business Intelligence game wit our Advanced Python Course, design for professionals weh eager to use Python power for mekkin correct decisions base on data. Go deep inside predictive modeling wit decision trees and random forests, sabi customer segmentation well-well through clustering and RFM analysis, and make ya data visualization betta wit Matplotlib and Seaborn. Learn how to clean, fix, and check data fast, while you di create report weh correct and recommendations weh you fit use. Join now for change ya data skill and mek business do well.
Elevify advantages
Develop skills
- Sabi predictive modeling well: Build decision trees and use random forests.
- Do customer segmentation proper: Use clustering and RFM analysis for understandin customer dem.
- Do exploratory data analysis fine: Show data wit Matplotlib and Seaborn.
- Make data preprocessing strong: Handle data weh missin and fix data type dem quick-quick.
- Create report weh correct: Summarize data and give recommendations weh you fit act on.
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 workloadWhat our students say
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