Predictive Analytics Analyst Course
What will I learn?
Vhurai simba re ungwaru hwe kugona kufembera zvinozoitika nekosi yedu yakadzama yakagadzirirwa nyanzvi dze Business Intelligence. Nyatsoongorora data, gadzirisa mazano ekuchenesa data, uye dzidzai kugadzira zvinhu zvitsva kuti muwedzere kunaka kwemamodeli. Ivai nyanzvi mukusarudza nekudzidzisa mamodeli ekufembera, kusanganisira linear regression, miti yezvisarudzo, uye matekiniki epamberi se random forests. Vaka hunyanzvi hwekunzwisisa mhedzisiro uye kugadzira mishumo inoshanda kupa nzwisiso yebhizinesi inogona kushandiswa. Simudzirai basa renyu nekudzidza kunoshanda, kwemhando yepamusoro.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Chenesa data zvakakwana: Bata data risingapo uye ururamise kusawirirana zvakanaka.
Gadzirai zvinhu zvitsva: Gadzirai zvinhu zvitsva uye batanidzai zviratidzi zvehupfumi.
Sarudzai mamodeli ekufembera: Sarudzai uye shandisai linear regression nemiti yezvisarudzo.
Dzidzisai uye uongororei mamodeli: Shandisai matekiniki ekuparadzanisa data kuti muwane kushanda kwakanaka.
Dudzirai mhedzisiro yemamodel: Ipai nzwisiso yebhizinesi inogona kushandiswa uye ongororai zvinokonzera kukura kwebhizinesi.
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.