Data Structures And Algorithms Course
What will I learn?
Ithute dintlha tsa botlhokwa tsa dipopego tsa data le di algorithm ka khoso ya rona e e tletseng e e diretsweng bomankge ba thekenoloji. Ithute ka botlalo mekgwa e e kwa godimo ya go batla le go tlhopha jaaka binary search, quick sort, le merge sort. Tokafatso mahutsana a gago ka go tokafatsa di algorithm, o leka go tsepamisa mogopolo mo bokana le nako e di tsenyang. Ithute go kwala pseudocode e e papametseng le ditokomane tsa khoutu tse di mosola. Sekaseka go dirisiwa ga data ka nako ya nnete, dipopego tsa data tse di siameng, le go sekaseka tiragatso. Tsholetsa tiro ya gago ya thekenoloji ka thuto e e mosola e e maemong a a kwa godimo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng go tlhopha go go kwa godimo: Diragatsa di algorithm tsa Quick le Merge Sort tse di siameng.
Tokafatsa di algorithm: Sekaseka bokana le nako e di e tsenyang go bona tiragatso e e botoka.
Kwala ditokomane tsa khoutu ka botswerere: Dirisa mekgwa e e siameng go bona pseudocode le ditshwaelo tse di papametseng.
Dira data ka nako ya nnete: Dirisa mekgwa ya batch, stream, le e e tsamaisiwang ke ditiragalo.
Sekaseka tiragatso: Dirisa didiriswa tsa benchmarking le profiling go tokafatsa.
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.