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Big Data

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.

Tuesday, January 22, 2019 - 9:00am
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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.

Monday, September 7, 2015 - 9:00am
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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.

Tuesday, April 23, 2019 - 3:00pm
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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.

Tuesday, September 10, 2019 - 3:00pm
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The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database. Audience Profile The primary audience for this course is people who wish to analyze large datasets within a big data environment. The secondary audience are developers who need to integrate R analyses into their solutions.

Monday, April 29, 2019 - 6:00am
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This is a two-day instructor-led course is intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Students will learn how to design solutions for batch and real-time data processing. Different methods of using Azure will be discussed and practiced in lab exercises, such Azure CLI, Azure PowerShell and Azure Portal. 55224A-1 labs and exercises cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions).

Thursday, April 18, 2019 - 6:00am
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Big Data Hadoop Analytics training is where the world is heading to! The demand for qualified data professionals is a beginning of new culture in industries, according to the most entrepreneurs views on data analysts is a raise in opportunities In the next few years, the size of the analytics market industries will evolve up to One-thirds of the global IT market from the current one-tenths. Big data analytics is a process of investigate large amount of data sets to reveal hidden patterns, market trends, customer preferences and other useful business information.

Monday, March 25, 2019 - 5:00am
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Big Data Hadoop Analytics training is where the world is heading to! The demand for qualified data professionals is a beginning of new culture in industries, according to the most entrepreneurs views on data analysts is a raise in opportunities In the next few years, the size of the analytics market industries will evolve up to One-thirds of the global IT market from the current one-tenths. Big data analytics is a process of investigate large amount of data sets to reveal hidden patterns, market trends, customer preferences and other useful business information.

Saturday, March 23, 2019 - 5:00am

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