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Advanced Python Course
Boost your Business Intelligence skills with our Advanced Python Course, designed for watu serious about using Python for making sharp decisions based on data. Ingia deep into predicting things with decision trees and random forests, become a master at understanding customer groups through clustering and RFM analysis, and make your data look amazing with Matplotlib and Seaborn. Learn how to clean data, sort it out, and analyze it properly, while putting together reports that make sense and give good advice on what to do next. Join sasa hivi to take your data skills to the next level and help your business succeed kabisa.
- Be a pro at predicting things: Build decision trees and use random forests.
- Understand customer groups: Use clustering and RFM analysis to get the inside scoop.
- Do exploratory data analysis: Show off your data with Matplotlib and Seaborn.
- Sort out your data like a boss: Deal with missing values and make sure your data types are correct.
- Make reports that are insightful: Summarize data and give advice that people can actually use.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Boost your Business Intelligence skills with our Advanced Python Course, designed for watu serious about using Python for making sharp decisions based on data. Ingia deep into predicting things with decision trees and random forests, become a master at understanding customer groups through clustering and RFM analysis, and make your data look amazing with Matplotlib and Seaborn. Learn how to clean data, sort it out, and analyze it properly, while putting together reports that make sense and give good advice on what to do next. Join sasa hivi to take your data skills to the next level and help your business succeed kabisa.
Elevify advantages
Develop skills
- Be a pro at predicting things: Build decision trees and use random forests.
- Understand customer groups: Use clustering and RFM analysis to get the inside scoop.
- Do exploratory data analysis: Show off your data with Matplotlib and Seaborn.
- Sort out your data like a boss: Deal with missing values and make sure your data types are correct.
- Make reports that are insightful: Summarize data and give advice that people can actually use.
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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