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Today we analyze 1% of the world’s data. But machine learning and computing are opening unprecedented access to data, and with it, the ways we understand the world are evolving, and the skills we use to understand the world are changing. Galvanize is the leading bootcamp education for data science. We accelerate the careers of technical professionals and place more than 90% of our graduates into data-science and data-engineering roles. Our 12-week course is taught by vetted professionals, who often have years of both education and industry experience.
The Data Incubator is an intensive 7 week fellowship that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants. It identifies fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors. The program is free for fellows. Employers only pay a tuition fee if they successfully hire.
This 6-week program provides a hands-on introduction to Apache Hadoop and Spark programming using Python and cloud computing. The key components covered by the course include Hadoop Distributed File Systems, MapReduce using MRJob, Apache Hive, Pig, and Spark. Tools and platforms that are used include Docker, Amazon Web Services and Databricks. In the first half of the program students are required to pull a pre-built Docker image and run most of the exercises locally using docker containers.