2026 Business Intelligence and Data Analytics Foundations-申请方
主办方
Technische Universität Berlin
暑期学校介绍
City: Berlin
Language: English
Credits: 6 EC
About
This course is designed to give the skills and workflows of a modern analytics engineer. You’ll learn how to structure data pipelines, implement testing and documentation, and build scalable transformation layers that empower analytics and business intelligence teams. By the end of the course, you’ll be able to confidently apply analytics engineering best practices to real-world projects. The course has a strong focus on dbt (data build tool)—the industry-standard framework for transforming and modelling data in the warehouse.
Course leader
Katerina Arsh
Course aim
Build a strong foundation in SQL and the modern data stack — no prior engineering experience required.
Learn to build reliable, tested, and well-documented data pipelines with dbt, transforming raw data into clean, reliable, and analytics-ready tables.
Learn how to test, document, and orchestrate data pipelines like a professional analytics engineer.
Complete a capstone project and BI dashboard to showcase your new skills in a real-world scenario.
Fee info
Fee
2150.00 EUR, Students
Fee
2570.00 EUR, Working Professionals
费用
2150.00 EUR
Technische Universität BerlinPhd申请条件和要求都有哪些？2026 Business Intelligence and Data Analytics Foundations项目是不是全奖？有没有奖学金？下面我们一起看一下Technische Universität Berlin申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
The Bachelor graduates and Master/PhD students of:
Computer Science, Business Analytics, Data Science
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