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Data Science And Engineering Course
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.
- 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.

flexible workload from 4 to 360h
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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 summary
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