r Data Science Course
What will I learn?
Nyatsodzidza zvakakosha zve R zve Business Intelligence ne R Data Science Course yedu. Pinda mugwara re R programming basics, ongorora kugadzirisa data ne dplyr, uwedzere hunyanzvi hwako hwekuongorora ne data visualization uchishandisa ggplot2. Zivisa nzwisiso kuburikidza nekutaura kwedata kunoshanda, uye shandisa matekiniki epamberi mukushambadzira uye sales analytics. Dzidza kuona maitiro ne time series analysis uye upe mishumo inokurudzira. Simudzira hunyanzvi hwako hweBI nekudzidza kunoshanda, kwemhando yepamusoro, uye kupfupika.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatsodzidza R programming: Iva neunyanzvi muR ne RStudio yekuongorora data.
Visualize data: Gadzira magrafu ane nzwisiso ne ggplot2 kuratidza maitiro.
Ongorora data yekushambadzira: Ongorora metrics uye gadzirisa nzira dzekushambadzira.
Ita time series analysis: Ziva maitiro uye putsa data ye time series.
Kurukura nzwisiso: Gadzira mishumo inokurudzira uye mazano anotyairwa nedata.
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.