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r And Python Course

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What will I learn?

Master ebikulu mu R ne Python for Business Intelligence ne course yaffe eno eyita amagulu. Yinga mu data analysis nga oyiga okuyingiza, okufulumya, n'okukyusa data, era otandike coding environments zo. Kulakulanya obukugu bwo mu kulongoosa data, exploratory data analysis, n'okulaga ebintu nga okukozesa ggplot2 ne Matplotlib. Kulaakulanya amagezi ag'omulembe, bala key performance indicators, era obawe findings zo mu ngeri entuufu. Eky'omugaso eri abantu abakugu abanoonya okwongera analytical capabilities zaabwe n'okuwagira obuwanguzi bwa business.

Apoia's Unique Features

Online and lifetime access to courses
Certificate aligned with educational standards
PDF summaries for easy printing
Online support available at all times
Select and arrange the chapters you want to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master R ne Python: Tandika environments era okoleesa syntax ku bwa data analysis.

Laga Data: Kola charts eziraga ebintu mu bwesimbu nga okukozesa ggplot2 ne Matplotlib.

Longoosa Data: Gamba ku missing values era okolemu inconsistencies mu bwangu.

Analiza Trends: Londa patterns ne trends mu business data.

Bawe Insights: Yanjula findings zo bulungi ne reports ezitegeerekeka.

Suggested summary

Workload: between 4 and 360 hours

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

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 offers practical and relevant knowledge for your professional journey.