Agenda

IBM is offering a free class for clients and practitioners to learn about IBM's Data Science Experience platform. The platform is designed to bring together everything a data scientist needs to be successful. It combines popular open source tools (Python, R, Jupyter Notebooks, Spark) with IBM unique value add capabilities with social and community features baked in. The Data Science experience is part of the Watson Data Platform; an integrated platform of tools, services, and data to help agencies accelerate their transition to data-driven organizations. Although the focus of the class will be on the Data Science Experience, we will introduce two new features of the Watson Data Platform that are in open beta. The Data Refinery component supports self-service data preparation. The Data Catalog provides data administration tools to index, classify, and control access to data assets.   

This is a full day of education offering hands-on exercises instructed in person by a technical specialist. The exercises will be performed using a free trial version of IBM’s Data Science Experience which helps a Data Scientist get value faster using the best of open source and IBM together. Built for data scientists by data scientists, the IBM Data Science Experience is a new cloud-based, social workspace that helps data professionals consolidate, create and collaborate across their favorite open source tools such as R, Python and Spark. 

WHO SHOULD GO: Anyone interested in learning more about Data Science and the IBM Data Science Experience.   

PREREQUISITE: A high level understanding of Data Science methods, some Coding experience (Preferred Python and/or R) and a high level understand of distributed computing and SQL.

WHAT TO EXPECT: Expect to spend a full day of lecture and hands-on exercises attacking real-world data science challenges using IBM’s Data Science Experience. 

McLean, United States

IBM McLean
8401 Greensboro Drive 1st and 4th floors
McLean, Virginia
United States

Agenda

TimeDescription
8:30 AM - 9:00 AM Registration and Coffee
9:00 AM - 10:00 AM Kickoff, Overview of Data Science and IBM Data Science Experience
10:00 AM - 11:30 AM Lab 1 -  Setting Up Your First DSX Notebook  
11:30 AM - 12:30 PM Lab 2 - Machine Learning with Spark ML
12:30 PM - 1:30 PM Lunch Provided
1:30 PM - 2:30 PM Lab 3 -  R, Shiny, and GUI Interfaces 
2:30 PM - 4:00 PM Lab 4 -  Choose From Several Options
4:00 PM - 4:30 PM Questions and Wrap Up

IBM Worldwide Events


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