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r Training Course

What will I learn?

Vhura simba reR ne R Training Course yedu yakadzama, yakagadzirirwa nyanzvi dzeBusiness Intelligence dzinoda kukwidziridza hunyanzvi hwadzo hwekuongorora data. Nyatso dzidza nezve Exploratory Data Analysis kuti uzive mafambiro, gadzira maonero edata anoshamisa ne ggplot2, uye ugadzire mishumo inonzwisisika. Dzidza matekiniki epamberi ekugadzirisa data zvakanaka uye otomatiki, woita ongororo yenhamba kuverenga metric dzakakosha. Iyi kosi inopa zvemukati zvinoshanda, zvemhando yepamusoro kuti zvikwidziridze hunyanzvi hwako hweBI uye kukwidza sarudzo dzinofambiswa nedata.

Apoia's Unique Features

Online and lifetime course access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
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 development of the practical skills listed below

Iva shasha muEDA: Fukunura mafambiro nemaitiro uchishandisa R pakuongorora kwakadzama.

Gadzira Mifananidzo: Dhirowa machati anokwezva ne ggplot2 yekutaura nyaya nedata.

Nyora Mishumo: Gadzira mishumo yakajeka, yakapfupika yekuongorora ine kodhi yeR yakabatanidzwa.

Otomatiki Mabasa: Rongedza maitiro ekugadzira mishumo nematekiniki epamberi eR.

Ongorora Data: Ita ongororo yenhamba kuverenga metric dzebhizinesi dzakakosha.

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 offers practical and relevant knowledge for your professional journey.