Python Course For Data Science
What will I learn?
Itsenyeletse bokgoni jwa Python mo go tsa Data Science mme o oketse bokgoni jwa gago jwa Business Intelligence ka khoso ya rona e khutshwane e bile e le ya maemo a a kwa godimo. Ithute mekgwa e e botlhokwa ya go phepafatsa data, go akaretsa go samagana le dikopi le dilo tse di kwa ntle, mme o tsene mo tshekatshekong ya tiragatso ya thekiso ka lesedi la kgaolo le la setlhopha sa dikumo. Nna le bokgoni jwa go laela data, go e baakanya, le go bala dipalo tsa botlhokwa. Tokafatsa bokgoni jwa gago jwa go tlhalosa lesedi ka bokgabane o dirisa Jupyter Notebook, mme o senole dikgakololo tse di ka dirisiwang go tokafatsa maano a thekiso le tsamaiso ya diinbentori.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itsenyeletse bokgoni jwa go phepafatsa data: Tlosa dikopi, tlwaelanya, mme o alafa dilo tse di kwa ntle ka bokgabane.
Sekaseka data ya thekiso: Dira tshekatsheko ya thekiso ya kgaolo, setlhopha sa dikumo, le tatelano ya nako.
Baakanya data: Fetola mefuta, samagana le boleng jo bo tlogetsweng, mme o laele di-CSV ka Pandas.
Bala dipalo tsa botlhokwa: Sekaseka letseno lotlhe, letseno la kgaolo, le palogare ya diyuniti tse di rekisitsweng.
Tlhalosa lesedi: Bopa diphitlhelelo mme o di tlhagise o dirisa Jupyter Notebook.
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.