Data Science And Engineering Course
What will I learn?
Take your Business Intelligence work to the next level with our Data Science and Engineering Course. We go inside important things like how to keep data safe and sound using Google BigQuery and Amazon Redshift, and how to build data pipelines properly using Apache Kafka and NiFi. You go chop book on how to process data with Apache Spark, and look inside inside retail data from shops online and customer information. You go learn how to do ETL (that be how to clean and change data), how to write am down proper, and how to do reporting so you can turn anyhow data into something you can use to make good decisions. Join quick so you fit sharpen your skills to make decisions based on data.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data warehousing: Keep plenty data for safe so nothing happen am.
Design data pipelines: Make sure data dey flow smooth smooth with Apache Kafka and NiFi.
Process data with Spark: Clean data well well so you fit see things clear clear.
Analyze retail data: Use data from shop, internet, and customer information.
Document and report: Write down everything proper with data flow diagrams and proper reports.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at 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.