Data Science Basics Course
What will I learn?
Vhura simba re data nechidzidzo chedu cheChidzidzo Chehwaro Hwesainzi yeData, chakagadzirirwa vashandi vezvedzidzo. Nyura mukati mezvinhu zvakakosha zvakadai sekuunganidzwa kwedata, kucheneswa, uye kuratidzwa. Iva nyanzvi pakuongorora statistical, kusanganisira regression uye hypothesis testing, kuti ufunure maitiro uye mafambiro. Dzidza kududzira mhedzisiro uye kutaura zvawakawana zvinobudirira, uchichengetedza tsika dzakanaka mukuchengetedzwa kwedata nekururama. Simudzira pesvedzero yako yedzidzo nezvemazano anoshanda, emhando yepamusoro muchidzidzo ichi chakazara, che asynchronous.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi pakuunganidza data: Dzidza nzira dzinoshanda dzekuunganidza mhando dzakasiyana siyana dze data.
Chenesa data nemazvo: Shandisa matekiniki ekuona kuti data riri chokwadi uye rakavimbika.
Ratidza nzwisiso yedata: Gadzira zviratidziro zvinokwezva kuti uburitse maitiro nemafambiro.
Ita ongororo ye statistical: Ita regression uye hypothesis testing nechivimbo.
Taura zvawakawana zvakajeka: Kura hunyanzvi hwekushuma mhedzisiro yedata zvinobudirira uye zvakanaka.
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.