Data Science And Engineering Course
What will I learn?
Boost your Business Intelligence career with our Data Science and Engineering Course. We go deep into important topics like how to store data properly with Google BigQuery and Amazon Redshift, plus you'll master how to build data pipelines using Apache Kafka and NiFi. You'll become an expert in processing data with Apache Spark, and you'll explore data from shops, from online shops to customer data. Learn how to do ETL (that's Extract, Transform, Load), how to write good documentation, and how to make reports to turn raw data into information you can use to make decisions. Join us now to get better at using data to help make good business decisions.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data warehousing: Store and manage big data sets well-well.
Design data pipelines: Build data flow systems using Apache Kafka and NiFi.
Process data with Spark: Clean and change data so it can be used for analysis.
Analyze retail data: Use data from POS systems, online shops, and customer databases.
Document and report: Make clear data flow diagrams and complete reports.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create 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.