Intro to Data Science Course
What will I learn?
Ithute ka maatla a data ka Tshimologo ya rona ya Data Science Course, e diretsweng batho ba ba dirang ka technology ba ba eletsang go oketsa bokgoni jwa bone jwa go sekaseka. Inaakanye le go lemoga ditsela tse dilo di tsamayang ka teng le dipaterone, go itse go tsenya le go batlisisa data ka Excel, Google Sheets, R, le Python. Ithute mekgwa e e botlhokwa ya go sekaseka data, go balela le go tlhopha, le ditafole tsa pivot. Sekaseka thekiso le dipoelo, tlhama dikgakololo tsa maano, mme o dire dipego tse di kgatlhang. Tsholetsa tiro ya gago ka ditsela tse di mosola, tsa maemo a a kwa godimo ka mokgwa o o sa tlhokeng gore o bo o le teng ka nako e e rileng.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Bona ditsela tse data e tsamayang ka teng: Ithute mekgwa ya go lemoga dipaterone le dintlha tse di botlhokwa.
Sekaseka ka Python: Dirisa Python go sekaseka data ka botlalo.
Phepafatsa le go rulaganya data: Ithute bokgoni jwa botlhokwa jwa go phepafatsa le go rulaganya data.
Tlhole maano a thekiso: Tlhabolola maano a thekiso le poelo a a nang le mosola.
Tlhagisa diphitlhelelo tsa data: Dira dipego tse di phepafetseng, tse di khutshwane le tse di tlhotlheletsang.
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.