Data Science And Artificial Intelligence Course
What will I learn?
Vhurai mikana yezvinhu zvamunogona kuita nedata ne Data Science ne Artificial Intelligence Course yedu, yakagadzirirwa vanhu vanoita zve Business Intelligence. Dzidzai kugovanisa vatengi muzvikwata uchishandisa K-Means ne Hierarchical Clustering, nyatsoongorora data muchishandisa magirafu nekuona zvinhu zvisina kujairika, uye wedzerai hunyanzvi hwenyu hwekufembera zvinhu munguva nemamodels emuchina. Dzidzai kugadzirisa data, kuyera kunaka kwayo, nekuburitsa mazano anobatsira pakutora matanho ebhizinesi ane hungwaru. Simudzirai hunyanzvi hwenyu necourse yedu pfupi, yemhando yepamusoro, uye inoshanda.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Govanisai vatengi muzvikwata: Shandisai K-Means nenzira dzehierarchical.
Ratidzai data nemagirafu: Gadzirai machati anobata kuitira kuburitsa mazano maitiro.
Femberai kutengesa: Femberai zvichaitika munguva nemamodels eregression.
Chenesai data: Wedzerai kunaka kwedata muchishandisa normalization ne transformation.
Taurirai mazano: Ipai mazano ebhizinesi akajeka uye anobatsira.
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.