Full Stack Data Science Course
What will I learn?
Vhura simba redata ne Data Science Yakazara: Kugona Kwese Kwese, yakagadzirirwa nyanzvi dzeBusiness Intelligence dzinoda kukwidziridza hunyanzvi hwadzo. Nyura mukufembera, nekudzidzira kudzidzisa, kuyedza, nekuongorora mamodheru. Batanidza kuongorora data nemaapplication ewebhu zvisina mutsetse, uchichengetedza kuchengetedzeka kwedata. Iva nyanzvi pakuchenesa data, kubata kukosha kusipo, nekunzwisisa magadzirirwo edata. Gadzira maapplication ewebhu uchishandisa Flask neDjango, wotarisa maitiro edata kuburikidza nenzira dzezvematongerwo enyika nekuratidzira. Unganai nesu kuti tishandure data kuita ruzivo runoshanda.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi mukufembera: Dzidzisa, yedza, uye uongorore mamodheru ekudzidza emuchina.
Batanidza data nemaapps: Batanidza kuongorora data nemaapplication ewebhu zvisina mutsetse.
Chenesa nekugadzirira data: Shandisa matekiniki ekubata kukosha kusipo nemagadzirirwo.
Gadzira maapplication ewebhu: Vaka mauser interface nemaFlask neDjango maframeworks.
Ita ongororo yekutanga: Wona maitiro nekuona maitiro evatengi.
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.