Galvanize Partners with Nvent to Launch Data Engineering Courses this Fall

Galvanize Partners with Nvent to Launch Data Engineering Courses this Fall

We’re excited to announce that we’re partnering with big data analytics consultancy Nvent to launch a 12-week, full-time data engineering course this fall. Galvanize Data Engineering will focus on industry skills including information architecture, data performance, machine learning, and other concepts that aspiring data engineers need to know to be successful. This course will launch on October 26 at Galvanize’s San Francisco campus. We’re currently accepting applications for our first cohort – apply now and learn more.

Want to a free pass to the program and a full time job upon graduation? As part of our collaboration with Nvent, we’ll be offering eight full scholarships and a living stipend to students who are interested in working at Nvent after graduation. Graduates will be able to put their new found skills to work by tackling projects in data engineering, specializing in infrastructure/platform engineering or software engineering in the Big Data and Hadoop ecosystem.

Here’s a full week-to-week breakdown of the curriculum:

Week 1 Advanced Java, Databases and Relational Systems
Week 2 Hadoop Ecosystem: MapReduce, HDFS, YARN, Lambda Architecture
Week 3 Distributed Systems: Design, Consistency Models, Capacity Planning
Week 4 Information Architecture, Advanced SQL, Hive/Pig
Week 5 Advanced Abstractions and Data Pipelines: Cascading, Flume, Scoop, Solr
Week 6 Security and Special Topics: Data Quality, Management, Tuning & Performance
Week 7 Real-time Data and Streaming: Kafka, Storm, Cassandra, Docker
Week 8 Algorithms & Machine Learning at Scale: Spark
Week 9 – Week 12 Capstone Projects and Capstone Showcase

Similar to Galvanize Full Stack and Galvanize Data Science, our application process will consist of a take-home assignment and technical interview to assess your quantitative and programming skills. For this course, we’re looking for students who are experienced in Java and Linux, have some familiarity with data analysis tools and practices, and have a background in a quantitative disciplines like computer science.

If you’re interested in learning more about the program, you can head over the the course page or sign up for one of our upcoming info sessions in San Francisco. While this program’s first cohort will be in San Francisco, we anticipate rolling it out to our other Galvanize sites in 2016.