Computer Science Data Science Course
What will I learn?
Mek yu Bizniz Intelijens wok go op wit wi Kompyuta Sayens Data Sayens Kos. Lɛn aw fɔ mek fayn fayn pikshɔ fɔ data, inklud aw fɔ mek chart we mek sɛns ɛn aw fɔ yuz graf we gɛt minin. Gɛt sɛns pan aw fɔ yuz tin dɛn we dɛn de yuz fɔ analays data lɛk Ɛksɛl, Paytɔn, ɛn R. Lɛn aw fɔ rayt ripɔt ɛn prezɛnteshɔn we pipul dɛn we nɔ sabi bɔt kompyuta go ɔndastand. Go insay data analaysis, fɔ fɛn aw tin dɛn de go ɛn fɔ mek shɔ se tin dɛn de bay wan. Impruv yu skil pan aw fɔ analays sales ɛn mɔni we yu de gɛt, ɛn mek shɔ se yu gɛt gud we fɔ mek makɛtin wit pipul dɛn we yu dɔn sheb dɛn bay aw dɛn de bay tin ɛn aw fɔ mek dɛn want fɔ bay tin.
Develop skills
Enhance the development of the practical skills listed below
No data vizualizashɔn: Mek fayn fayn chart ɛn graf fɔ mek pipul ɔndastand.
No Ɛksɛl pan data analaysis: Yuz Ɛksɛl, Paytɔn, ɛn R fɔ analays ɔlkayn tin.
Rayt fayn fayn ripɔt: Put pikshɔ insay ɛn rayt fɔ pipul dɛn we nɔ ɔlman sabi dɛn tin ya.
Du data analaysis: Luk gud gud wan fɔ aw tin dɛn de go, luk fɔ tin dɛn we nɔ de go fayn, ɛn aw data de wok.
Mek makɛtin plan: Sheb pipul dɛn ɛn mek dɛn want fɔ bay tin.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust 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 growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.