Maths For Data Science Course
What will I learn?
Vhura simba re data ne Maths ye Data Science Course yedu, yakagadzirirwa nyanzvi dzemasvomhu dzinoda kukwidziridza hunyanzvi hwadzo hwekuongorora. Nyura mukuchenesa data, iva shasha mukuongorora statistical, uye wongorora nzwisiso dzinobva panzvimbo. Dzidza kushandisa Python, Excel, uye R pakuongorora data, uye gadzira zviratidziro nemishumo zvinokwezva. Iyi course pfupi, yemhando yepamusoro inokupa simba rekushandura data risina kuchena kuita nzwisiso dzinogoneka, zvichiita kuti usakosheka munyika inotungamirwa ne data. Nyoresa izvozvi kuti ukwidze hunyanzvi hwako!
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva shasha pakuchenesa data: Kurira data risingawirirane uye risipo nemazvo.
Ita ongororo ye statistical: Ziva maitiro, mafambiro, uye hukama.
Ita ongororo yenzvimbo: Gadzirisa mashandiro echitoro nekutengesa.
Shandisa maturusi edata: Shandisa Python, Excel, uye R pakuongorora kwakasimba.
Gadzira zviratidziro zvine simba: Shandura nzwisiso dzedata kuita zviono zvakajeka.
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.