Women in Big Data Global

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Training

Welcome to the Women in Big Data™ Training Page!

Here you will find information on all of our past and upcoming technical and non-technical training workshops. We are still building up a list of future topics and dates so please check back here periodically for our quarterly events. Ideally, we would develop the list of upcoming topics from your input, Here is a link to a super-brief survey where you can influence future training content.

Thank you in advance for letting us know what kind of training would help you progress on your Big Data path.

Regards,
Women in Big Data Training Committee

SCHOLARSHIP OPPORTUNITIES

DeZyre.com Training

July 15, 2017 – DeZyre

Boost your career with online courses taught by industry experts. Courses are available on a range of topics, including computer science, economics, statistics, math and more. Languages, including Python and R, are taught in classes starting at the beginner level (knowledge of basic statistics recommended). Special offer for Women in Big Data Forum members:

Spark SQL Training Session: Recording of the training

August 15, 2016 – Spark SQL Training Session

Materials from August 2016 meetup

Spark SQL Training Session: Gayathri’s slides on Spark Overview and Spark Data

August 15, 2016 – Spark SQL Training Session

Materials from August 2016 meetup

Spark SQL Training Session: Xinh’s slides on Spark SQL

August 15, 2016 – Spark SQL Training Session

Materials from August 2016 meetup

Learning and Networking: Cloudera Essentials for Apache Hadoop

February 29, 2016 – Cloudera

On February 29th, 40 Women in Big Data and their supporters attended a day long training hosted by Cloudera titled, ‘Learning and Networking: Cloudera Essentials for Apache Hadoop’.  Attendees learned how Apache Hadoop addresses the limitations of traditional computing, helps businesses overcome real challenges, and powers new types of big data analytics. This series also introduced the rest of the Apache Hadoop ecosystem and outlines how to prepare the data center and manage Hadoop in production.


February 2016 Apache Hadoop Training