Data Science And Engineering Course
What will I learn?
Elevate your Business Intelligence career with our Data Science and Engineering Course. Delve into crucial topics like data storage solutions using Google BigQuery and Amazon Redshift, and master data pipeline design using Apache Kafka and NiFi. Become an expert in data processing with Apache Spark, and explore retail data sources, everything from e-commerce platforms to customer databases. Learn ETL processes, documentation, and reporting techniques to transform raw data into insights you can actually use. Join now to improve your data-driven decision-making skills.
Apoia's Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data warehousing: Store and manage large datasets effectively.
Design data pipelines: Create smooth data flow with Apache Kafka and NiFi.
Process data with Spark: Transform and clean data for clear and valuable analysis.
Analyse retail data: Make the most of POS, e-commerce, and customer databases.
Document and report: Produce detailed data flow diagrams and complete reports.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can 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 equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.