Computer Science Data Science Course
What will I learn?
Simudzira basa rako reBusiness Intelligence ne Computer Science Data Science Course yedu. Iva nyanzvi pakuona data nenzira inonzwisisika, kusanganisira kugadzira machati anobudirira nekushandisa magraph nenzira ine hungwaru. Wana hunyanzvi mumatura ekuongorora data akadai seExcel, Python, neR. Dzidza kunyora mishumo nemharidzo dzinokwezva kune vanhu vasina ruzivo rwehunyanzvi. Tsvaga kuongorora data zvakadzama, uchifumura maitiro nekugadzirisa zvisizvo. Wedzera hunyanzvi hwako mukuongorora kwekutengesa nemari, uye gadzira nzwisiso dzekushambadzira dzinokosha kuburikidza nekukamurwa kwevatengi nekusimudzira kwakanangana.
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi pakuona data: Gadzira machati nemagraph ane simba kuti uwane nzwisiso.
Gona kuongorora data neExcel: Shandisa Excel, Python, neR kuongorora kwakazara.
Nyora mishumo inokwezva: Batanidza zvinoonekwa uye nyora kune vateereri vakasiyana.
Ita ongororo yekutsvaga: Ona maitiro, zvisizvo, uye magadzirirwo edata.
Gadzira mazano ekushambadzira: Kamura vatengi uye gadzirisa kusimudzira.
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 will 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.