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• Data Engineering

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  MySQL, Data Science, Git, Data Visualization, Hadoop, DevOps, Spark, Data Analytics , Data Structures, SQL, Python, Machine Learning, Cloud Computing, GitHub
  In PersonFull Time40 Hours/week12 Weeks

  Start Date	Rolling Start Date
  Cost	€9,900
  Class size	N/A
  Location	Berlin

  The 12-week bootcamp covers the most relevant and essential data and software engineering topics that enable graduates to start their journey as a professional data engineer. The first two weeks are about mastering the expected preliminary knowledge required for the rest of the course. Prepwork happens individually and remotely (i.e. from your home) based on a curated guided tour of nonproprietary online courses that focus on laying the groundwork for the most fundamental tools. The two final days of the prepwork module are about implementing a homework project in order to put the newly acquired skills directly to use. The 10 weeks that follow are conducted on-site at our campus and require full-time presence (9-17h, except for Friday where WFH is encouraged). Together with your fellow students you are going to solve problems and write code on a daily basis in a setting that resembles a real-life software engineering environment. In parallel to the main theme of each week, the schedule includes slots for career coaching and communication training, and sessions with guest speakers from Berlin-based data startups to broaden your horizon when it comes to the data engineering landscape that surrounds you. The final week is about building your own data product to prove your state-of-the-art competencies. Bootcamp students will learn logs, databases, 3rd party APIs, scraping, Google Analytics, ad-blocking, AWS, GCP, Azure, Python, and OS tools, such as Snowflake, SQS, Kinesis, PubSub, and Kafka. Students will also learn DAG, Airflow, Dbt, Dagster, Mara, Night-shift, and SaaSolutions. Data Engineering students will learn PostgreSQL, RedShift, Presto, and Clickhouse. Bootcamp students will learn principles of data warehousing and computation, such as dimension conformance, consolidation, indexing, distribution, partitioning, precomputation, and query blueprints. The curriculum covers VMs, Kubernetes, GitHub, NoSQL, Flask, and Shiny.

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  Financing

  Deposit	1000
  Financing	https://www.dataengineering.academy/financing-scholarships
  Tuition Plans	https://www.dataengineering.academy/financing-scholarships
  Scholarship	https://www.dataengineering.academy/financing-scholarships

  Getting in

  Minimum Skill Level	Ideal for those who are currently working as Data Analysts, Software Engineers, Data Scientists, and Product Managers. However, any interested applicants are welcome to apply.
  Prep Work	Those with no experience can complete a 2-week prep work to prepare for the bootcamp.
  Placement Test	No
  Interview	Yes

Scholarships

• €500 Pipeline Data Engineering Academy Scholarship

  Course Report is excited to offer an exclusive Pipeline Data Engineering Academy scholarship for $500 off tuition!

  Eligibility

  Offer is only valid for new applicants. Applicants who have already submitted an application cannot claim this scholarship. & This scholarship cannot be combined with other offers.

  Qualifying Courses

  • Data Engineering (Berlin)

  500 off

  Reveal Promo CodeCR500

  Fill out the application below to submit this scholarship to Pipeline Data Engineering Academy.

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