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Advanced Python Course
Boost your Business Intelligence abilities with our Advanced Python Course, geared towards professionals keen on using Python's strength for making smart decisions based on data. Dig deep into predicting what will happen using decision trees and random forests, become an expert in dividing customers into groups using clustering and RFM analysis, and make your data look great with Matplotlib and Seaborn. Learn how to clean, get data ready, and look at it properly, while making reports that are easy to understand and give good advice. Sign up now to change the way you handle data and help your business do well.
- Become a pro at predicting: Build decision trees and use random forests.
- Do customer grouping: Use clustering and RFM analysis to get a better understanding.
- Carry out exploratory data analysis: Show data clearly using Matplotlib and Seaborn.
- Improve data preparation: Deal with missing information and fix data types effectively.
- Create reports that give real insight: Summarise data and give advice that can be put into action.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence abilities with our Advanced Python Course, geared towards professionals keen on using Python's strength for making smart decisions based on data. Dig deep into predicting what will happen using decision trees and random forests, become an expert in dividing customers into groups using clustering and RFM analysis, and make your data look great with Matplotlib and Seaborn. Learn how to clean, get data ready, and look at it properly, while making reports that are easy to understand and give good advice. Sign up now to change the way you handle data and help your business do well.
Elevify advantages
Develop skills
- Become a pro at predicting: Build decision trees and use random forests.
- Do customer grouping: Use clustering and RFM analysis to get a better understanding.
- Carry out exploratory data analysis: Show data clearly using Matplotlib and Seaborn.
- Improve data preparation: Deal with missing information and fix data types effectively.
- Create reports that give real insight: Summarise data and give advice that can be put into action.
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
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