Intro to #datascience and #spark at #ibminsight 2015

I’ll be teaching two hands-on labs at Insight 2015 in Las Vegas:

LCD-3459 Introduction to Data Science
Data science is a very popular job profile and in great demand in a wide variety of industries. You no longer need a Ph.D. in mathematics or statistics to become a data scientist. Any data professional can upgrade their skills and study data science. This lab introduces the basic concepts of data science and provides hands-on examples to help you apply these concepts.

Update: Do the Intro to Data Science Lab on Big Data University

LCD-3479 Fundamentals of Spark
Spark is one of the most important technologies for big data analytics and Spark skills are in great demand. This lab session introduces Spark fundamentals and applies the concepts using hands-on examples with a Spark cluster in cloud. You can also download a Docker image to your own laptop and run the lab projects there.

Update: Do the Fundamentals of Spark Lab on Big Data University

If you can’t make it, you can teach yourself data science at your own pace at BigDataUniversity.com

Published by

Leons Petrazickis

I’m a full-stack developer at IBM Digital Business Group. I do Ruby, Node, Python, Hadoop, Spark, as well as web scale devops with Docker and Terraform.

My opinions are my own.