Data Science Engineering Course
What will I learn?
Make your Business Intelligence work even better with our Data Science Engineering Training. You go sabi how to write proper document, plan how to put things in place, and check if the system dey work fine. You go learn about new technology like Apache Kafka, Apache Spark, and AWS Glue so data fit move smooth like water. You go learn how to build big data systems wey fit grow, make data pipelines run fast, and make sure the system dey reliable by testing am well-well. You go get handwork skills to find where things dey slow and make am better, all inside short and good lessons.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sabi data pipeline technology well-well: Learn Apache Kafka, Spark, and AWS Glue.
Build systems wey fit grow: Design system wey fit handle plenty work and grow big.
Make data work better: Find and fix where things dey slow quick-quick.
Plan for bad bad things: Plan and stop bad things from happening to data work.
Make sure data dey correct: Check and test to make sure data system dey reliable.
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.