r Data Science Course
What will I learn?
Funa obukugu obukulu ku nkola ya R mu Business Intelligence nga tuyita mu course yaffe eya R Data Science. Weetegereze obukulu bwa R programming, nonde ebikulu mu kukyusa data nga tukozesa dplyr, era okongeza ku bukugu bwo mu kunoonyereza data nga tukozesa ggplot2. Zuula ebyama ebiri mu data storytelling, era okole ebikolezo eby'amaanyi mu marketing ne sales analytics. Yiga okuzuula ebintu ebikulu ebigenda mu maaso nga okozesa time series analysis era oleete lipoota eziruma. Yongera obukugu bwo mu BI nga okozesa ebintu ebyangu, ebirungi, era ebitono.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Yiga R programming: Funa obukugu mu R ne RStudio okunoonyereza data.
Laga data mu kifaananyi: Kola ebifaananyi ebirungi nga okozesa ggplot2 okuzuula ebiri mu data.
Noonyereza ku data ya marketing: Kebera ebipimo era olongoose strategies za marketing.
Kola time series analysis: Zuula ebintu ebiri mu data era ogabulemu ebitundu by'ebiseera.
Gamba ebintu by'ozuula: Tegeka lipoota eziruma era ogabule amagezi agasinziira ku data.
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.