Data Science And Engineering Course
What will I learn?
Boost your Business Intelligence career with our Data Science and Engineering Course. Get stuck in to key topics like data storage solutions using Google BigQuery and Amazon Redshift, and become a proper master at data pipeline design using Apache Kafka and NiFi. Build up your skills in data processing with Apache Spark, and suss out retail data sources from e-commerce platforms to customer databases. Learn the ins and outs of ETL processes, documentation, and reporting methods to turn that raw data into insights you can actually use. Join up now to make your data-driven decision-making skills top-notch.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master data warehousing: Store and manage your data properly, even when it's loads of it.
Design data pipelines: Make sure your data flows nicely using Apache Kafka and NiFi.
Process data with Spark: Clean up your data and change it so you can get good insights from it.
Analyze retail data: Use your point-of-sale, e-commerce, and customer databases like a pro.
Document and report: Put together proper data flow diagrams and reports that tell you everything you need to know.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.