Applying Data Science using Hadoop covers Data Science principles and techniques through lecture and hands-on experience. During this two-day class, students will experience a hands-on learning environment to experience the processes and practice of data analysis with Hadoop and the R statistical language with the outcome of implementing a recommender solution with R and Mahout.
Architects, software developers, analysts and data scientists who need to understand how to apply data science to large datasets with Hadoop.
Students must have basic computer skills, basic knowledge in statistics and a basic understanding of programming or scripting. Prior experience with Hadoop, Mahout, or R, although helpful, is not required. Students will be expected to bring their own laptops.
If you must cancel for any reason you must notify us in writing by March 3, 2014. Please contact us via email at firstname.lastname@example.org. Cancellations within 30 days of the event are non-refundable. You may transfer your registration to another person up until March 21 by providing authorization to us at email@example.com. Confirmed and paid attendees who do not attend or who cancel after the deadline are liable for the entire fee. In the unlikely event of cancellation of the conference, the liability of Hortonworks is limited to the return of paid registration fees.