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Advanced Python Course
Elevate your Business Intelligence skills with our Advanced Python Course, designed for professionals eager to harness Python's power in data-driven decision-making. Dive into predictive modelling with decision trees and random forests, master customer segmentation through clustering and RFM analysis, and enhance your data visualisation with Matplotlib and Seaborn. Learn to clean, pre-process, and analyse data efficiently, whilst crafting insightful reports and actionable recommendations. Join now to transform your data expertise and drive business success.
- Master predictive modelling: Build decision trees and implement random forests.
- Conduct customer segmentation: Use clustering and RFM analysis for insights.
- Perform exploratory data analysis: Visualise data with Matplotlib and Seaborn.
- Enhance data pre-processing: Handle missing values and correct data types efficiently.
- Craft insightful reports: Summarise data and create actionable recommendations.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Elevate your Business Intelligence skills with our Advanced Python Course, designed for professionals eager to harness Python's power in data-driven decision-making. Dive into predictive modelling with decision trees and random forests, master customer segmentation through clustering and RFM analysis, and enhance your data visualisation with Matplotlib and Seaborn. Learn to clean, pre-process, and analyse data efficiently, whilst crafting insightful reports and actionable recommendations. Join now to transform your data expertise and drive business success.
Elevify advantages
Develop skills
- Master predictive modelling: Build decision trees and implement random forests.
- Conduct customer segmentation: Use clustering and RFM analysis for insights.
- Perform exploratory data analysis: Visualise data with Matplotlib and Seaborn.
- Enhance data pre-processing: Handle missing values and correct data types efficiently.
- Craft insightful reports: Summarise data and create actionable recommendations.
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
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