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Navigate your cloud native world with training that matures your DevOps practices

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

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Data Science on AWS

4 Days

Available On-Site

Available Virtually

Open Enrollments Available

Customizable


This intensive 4-day hands-on course is designed to teach attendees how to use AWS features to perform data analysis in the Amazon AWS environment. Each module is complemented with a hands-on lab giving attendees practical experience with the topics covered. Day one focuses on data analytics basics, including data acquisition, scrubbing, manipulation, and storage. A number of practical use cases are examined during class and lab sessions where students will gain exposure to S3, Glue, and other tools. Day two focuses on data warehousing tools, introducing attendees to Red Shift, the Hive MetaStore and the Presto high-performance query engine as well as powerful Athena automated and Kinesis streaming query services. Day three focuses on the Amazon EMR platform and the Apache Spark platform. Attendees will learn how to work with RDDs, DataFrames, SparkSQL and Spark Streaming. Day four introduces machine learning concepts and the key AWS tools for creating machine learning-driven solutions to common business problems. Upon course completion, attendees will have a clear understanding of data analysis, data processing, and machine learning operations and their applications on the AWS platform.

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.

Who Should Attend?

Application Developers, Analysts and Data Scientists

What Attendees will learn

This course is designed to provide attendees with a comprehensive introduction to data science on the AWS platform. Learning modules include:

  • Data science on AWS
  • AWS data warehousing
  • EMR analytics
  • Machine learning on AWS

Prerequisites

The ability to run a 64 bit virtual machine (provided) good internet access, basic computing background and experience with SQL and Python.


Contact us to request more information about enrolling in the Data Science on AWS course or to inquire about booking a custom in-house course for your team.

Other Open Enrollments from RX-M

June 2020
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Frequently Asked Questions about Open Enrollment Courses

RX-M's Cloud Native & DevOps enablement philosophy

Bring a neutral perspective

We bring a market neutral perspective to every engagement, taking no stake in any of the competing cloud native platforms, components or solutions so we can offer unbiased insights to our clients

Practice what we teach

We are a multi-cloud company consisting of prominent open source contributors with large-scale software engineering experience, actively contributing to the evolution of next-gen software architectures, application management, and platforms

Be solution focused

RX-M has the unique ability to deliver purpose-built, solution-based training in the form of custom curriculum that aligns with each of our client's specific desired outcomes so your team has the skills needed to accelerate the business

Our team has been trusted to work alongside Cloud Native and DevOps teams at some of the most exciting companies

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