Python Data Structures Course
What will I learn?
Oketsa bokgoni jwa gago jwa Botlhale jwa Kgwebo ka Khoso ya rona ya Dipopego tsa Data tsa Python, e e diretsweng batho ba ba dirang ba ba batlang thuto e e mosola, e e nang le tlhotlheletso e kgolo. Inaakanye le maemo a a diragalang a go dira ka data mo lefatsheng la mmatota, tokafatsa tiragatso, mme o nne setswerere sa tsamaiso ya memori. Ithute dipopego tsa botlhokwa tsa data tsa Python, mekgwa e e kwa godimo, le Pandas go laola data. Tokafatsa mokgwa wa gago wa go kwala dikhoutu ka mekgwa e e siameng ya go tshwara diphoso, go leka, le go kwala ditokumente. Ikopanye le rona jaanong go fetola data go nna dintlha tse di ka dirisiwang ka bokgabane le ka katlego.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute dipopego tsa data tsa Python: Dilo tse di mo lenaaneng (Lists), ditupa (tuples), didikishinare (dictionaries), le disete (sets).
Tokafatsa go dira ka data: Oketsa tiragatso le tsamaiso ya memori.
Diragatsa di-algorithm: Tlhagisa ditharabololo tse di nang le bokgabane mo maemong a a diragalang mo lefatsheng la mmatota.
Laola data ka Pandas: Ntlafatsa, phutha, le go sobokanya di-dataset.
Dirisa Python e e kwa godimo: Dirisa di-decorator, di-lambda function, le di-comprehension.
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.