Learning Analytics Course
What will I learn?
Notlolla maatla a data ka Khoso ya rona ya Ditshekatsheko tsa Thuto, e e diretsweng batho ba ba dirang ka Botlhale jwa Kgwebo (Business Intelligence) ba ba batlang go tokafatsa bokgoni jwa bone. Inaakanye le dintlha tse di ka dirisiwang, itsenye mo go kwalong dipego, mme o tlhatlhobe dipalopalanyo. Ithute go tshwara data ya thuto, o phepafatse o bo o tsene ka datasets, mme o dirise didirisiwa tsa botlhokwa jaaka Python le Excel. Tsholetsa bokgoni jwa gago jwa go supa data ka mokgwa o o bonalang sentle gore o tlhalose diphitlhelelo ka bokgabane. Khoso e e khutshwane ya maemo a a kwa godimo e go thusa go dira ditshwetso tse di ikaegileng ka data ka tshepo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Tlhagisa dintlha tse di ka dirisiwang: Fetola data go nna ditshwetso tsa kgwebo tsa maano.
Itsenye mo go kwalong dipego: Kwala dipego tsa data tse di phepafetseng, tse di khutshwane le tse di nang le tlhotlheletso.
Dira dipalopalanyo: Dirisa dipalopalanyo tse di tlhalosang le tse di akaretsang ka bokgabane.
Sekaseka data ya thuto: Sekaseka metrikhi le maduo a baithuti go bona dintlha.
Phepafatsa mme o tsene ka data: Tshwara data e e tlogetsweng le go tsena ka yone go tswa mo difaeleng tsa CSV ka bonako.
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.