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EVENT DETAILS |
<P><STRONG>Course Description</STRONG><BR> This<EM> part-time evening course</EM> will enable you to integrate data products at scale using Scala. In this class we cover how to work with distributed systems in order to efficiently collect, analyze, & parallelize large quantities of varied data. This course is intended for data engineers that want to advance their career with the latest technology & applications.</P>
<P><STRONG>In this course you will:</STRONG></P>
<UL>
<LI>Work with Linux virtual machine</LI>
<LI>Deploy & manipulate data in the cloud</LI>
<LI>Write complex SQL queries</LI>
<LI>Design a database that conforms to the third normal form (3NF)</LI>
<LI>Identify embarrassingly parallelizable tasks</LI>
<LI>Describe & apply the MapReduce algorithm</LI>
<LI>Describe & apply Spark's DataFrame abstraction</LI>
<LI>Perform machine learning on a cluster</LI>
<LI>Apply probabilistic data structures to handle high volume/velocity data</LI>
<LI><EM>Build an end-to-end distributed data-pipeline</EM></LI>
</UL>
<P><STRONG>This course is ideal for students who:</STRONG></P>
<UL>
<LI>Fluent with programming languages such as: Python, C, Java, etc,.</LI>
<LI>Are familiar with Data Exploration, basic Feature Engineering</LI>
<LI>Are familiar with the basic fundamentals of Machine Learning models</LI>
</UL>
<P><STRONG>Class Structure</STRONG></P>
<P>This course is an active learning environment. You'll learn through doing. The focus will be on explaining concepts in your words & applying concepts through programming.</P>
<P><STRONG>Course Schedule</STRONG></P>
<P>This is a 12-week course. Classes run <EM><STRONG>June 27 - September 14</STRONG></EM>.Classes meet twice per week - on Tuesdays + Thursdays from 6pm-9pm PDT.</P>
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