Data Science And Engineering Course
What will I learn?
Take your Business Intelligence work to the next level with our Data Science and Engineering Training. You'll learn important things like how to store data properly using Google BigQuery and Amazon Redshift, and how to build data pipelines using Apache Kafka and NiFi. You'll also become good at processing data using Apache Spark, and looking at data from shops, like what you get from online shops and customer records. We'll teach you how to take data from one place to another (ETL), how to write things down properly, and how to make reports so you can change raw data into useful information. Join us now to improve your skills in making decisions based on data.
Apoia's Unique Features
Develop skills
Enhance the practical skills listed below
Become a master of data storage: Learn how to store and manage huge amounts of data well.
Build data pipelines: Create smooth ways for data to flow using Apache Kafka and NiFi.
Process data with Spark: Change and clean data so you can understand it better.
Look at shop data: Use data from POS machines, online shops, and customer records.
Write things down and make reports: Create clear diagrams of how data flows and write full reports.
Suggested summary
Workload: between 4 and 360 hours
Before beginning, feel free to change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease 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 development. It is not akin to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.