Data Science Engineering Course
What will I learn?
Simudzira basa rako reBusiness Intelligence neChidzidzo chedu cheUinjiniya hweData Science. Iva nyanzvi pakuunganidza magwaro akazara, kuronga mashandisirwo, uye kuongorora masisitimu. Tsvaga matekinoroji emazuvano akadai seApache Kafka, Apache Spark, neAWS Glue zvekugadzirisa data zvisina mutsindo. Dzidza kugadzira magadzirirwo edata anokwanisa kukura, gadzirisa nzira dzekuyerera dzedata, uye uve nechokwadi chekuvimbika kwesisitimu kuburikidza nekuyedzwa kwakasimba uye kusimbiswa. Wana hunyanzvi hunoshanda hwekuona zvipingamupinyi uye nekuvandudza mashandiro, zvese zviri muchimiro chipfupi, chemhando yepamusoro.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi yetekinoroji dzenzira dzekuyerera dzedata: Dzidza Apache Kafka, Spark, neAWS Glue.
Gadzira magadzirirwo anokwanisa kukura: Gadzira masisitimu ekuita zvakanaka nekukura.
Gadzirisa maitiro edata: Ona uye ugadzirise zvipingamupinyi nemazvo.
Shandisa manejimendi engozi: Ronga uye udzikise njodzi mumapurojekiti edata.
Iva nechokwadi chekutendeseka kwedata: Simbisa uye uedze masisitimu edata akavimbika.
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.