r Data Science Course
What will I learn?
Ithute dintlha tsa botlhokwa tsa R go dirisiwa mo Business Intelligence ka Thuto ya rona ya R Data Science. Ithute metheo ya go kwala dikhoutu tsa R, tlhotlhomisa tiriso ya data ka dplyr, mme o oketse bokgoni jwa gago jwa go sekaseka ka ponelopele ya data o dirisa ggplot2. Senola dintlha tse di maleba ka go anegela data ka bokgabane, mme o dirise mekgwa e e kwa godimo mo tshekatshekong ya dipapatso le thekiso. Ithute go lemoga mekgwa e e tlwaelegileng ka tshekatsheko ya metseletsele ya nako mme o tlhagise dipego tse di kgatlhang. Tsholetsa bokgoni jwa gago jwa BI ka thuto e e mosola, e e maêmô a a kwa godimo le e e sobokanyeditsweng.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go kwala dikhoutu tsa R: Nna le bokgoni mo R le RStudio go sekaseka data.
Bontsha data ka pono: Tlhamela dipoloto tse di nang le tlhaloganyo ka ggplot2 go senola mekgwa.
Sekaseka data ya dipapatso: Sekaseka dipalo le go tokafatsa maano a dipapatso.
Dira tshekatsheko ya metseletsele ya nako: Lemoga mekgwa e e tlwaelegileng mme o thube data ya metseletsele ya nako.
Tlhalosa dintlha tse di maleba: Kwala dipego tse di kgatlhang le dikgakololo tse di ikaegileng ka data.
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’ll 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.