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Advanced Python Course

What will I learn?

Boost yo BI (Business Intelligence) skill dem wit dis Big Man Python Class. We mek dis class for people who ready for use Python power for make good decision wit data. You go dig inside how for use decision tree and random forest for predict future. You go learn how for divide customer dem into group using clustering and RFM analysis. And you go make fine fine picture dem wit Matplotlib and Seaborn for show you data. You go learn how for clean data, fix am up, and check am good good. You go learn how for write report and tell people what for do based on di data. Join we now, so you can change how you sabi data and mek you business do well.

Apoia's Unique Features

Accessible online course for a lifetime
Certificate aligned with educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your practical skills in the areas listed below.

Learn how for predict: Build decision tree dem and use random forest dem.

Divide customer dem into group: Use clustering and RFM analysis for understand dem better.

Check data good good: Use Matplotlib and Seaborn for see data clear.

Fix data up: Learn how for handle data wey loss and fix data type dem quick quick.

Write report wey correct: Talk 'bout data and tell people good thing for do.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.