Data Science And Engineering Course
What will I learn?
Boost yu Bizniz Intellijens wok wit wi Data Science and Injineerin Kos. Dive deep pan importan tin dem lek aw fo keep data safe wit Google BigQuery and Amazon Redshift, and sabi aw fo mek data komot wan ples go di oda ples (data pipeline) yuzin Apache Kafka and NiFi. Get strong pan aw fo wok wit data yuzin Apache Spark, and luk di kain data wey dem get from shop dem lek e-commerce sayt dem and kustomer data dem. Learn aw fo change data from raw fɔrm go wey e fit mek sens (ETL processes), aw fo rayt tin dem dɔŋ bɔt di data, and aw fo mek ripɔt dem fo change data wey nɔ mek sens to tin wey yu fit yuz fɔ mek fayn disishɔn. Jɔyn wi naw fo mek yu sabi mek beta disishɔn wit data.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sabi data warehousing: Keep and manage big big data dem well.
Design data pipelines: Mek data fɔlɔ wan ples go ɔda ples gud gud wit Apache Kafka and NiFi.
Process data with Spark: Change and klin data fɔ mek e mek sens we yu analays am.
Analyze retail data: Yuz POS, e-commerce, and kustomer data dem.
Document and report: Rayt dɔŋ ɔl di data flow diagram dem and mek gud gud ripɔt dem.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust 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 growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.