Data Science AI Course
What will I learn?
Vhurai simba redata ne Data Science AI Course yedu, yakagadzirirwa nyanzvi dze Business Intelligence. Nyatso dzidza nezvekugadzirira data, nekudzidzira kuchenesa, kuenzanisa (normalization), nekubata data risipo. Ongorora data re sales uchishandisa nzira dzepamberi dzekutsvagurudza (exploratory techniques) woona zvinhu zvinokosha. Simbisa hunyanzvi hwako mukudzidzisa model, kuyera, nekunatsiridza (optimization), kusanganisira hyperparameter tuning. Dzidza feature engineering yeku fungidzira sales (sales forecasting) uwane nzwisiso yekuraira bhizinesi rine hungwaru. Simudzira hunyanzvi hwako ne machine learning algorithms dzemazuva ano.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Dzidzira kuchenesa data: Shandura data risina kujeka kuti rive nzwisiso inoshandisika.
Ita ongororo yekutsvagurudza (exploratory analysis): Zivisa maitiro ezvinhu uye zvinhu zvinokosha.
Natisa (Optimize) ma models: Wedzera kururama ne hyperparameter tuning.
Gadzira maficha (Engineer features): Gadzira maficha ane simba anobva panguva uye ekunze.
Dudzira zvafungidzirwa: Paunze mazano ebhizinesi rine hungwaru.
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.