Business Knowledge Series course
Presented by Catherine Truxillo, Ph.D., Director, Analytical Education, Education Division, SAS; or Bob Lucas, Ph.D., Analytical Training Consultant, Education Division, SAS; or Terry Woodfield, Ph.D., Analytical Training Consultant, Education Division, SAS; or David Ghan, Technical Training Consultant, Education Division, SAS; or Andy Ravenna, Technical Training Consultant, Education Division, SAS
This introduction to working with Apache Hadoop is designed for statisticians, as well as experienced SAS programmers with a background in statistics. The course is problem-driven and focuses on helping you understand what data scientists do, the problems they solve, and their methods. By taking a practical approach to the subject, including multiple hands-on exercises, you will leave class with skills that you can immediately apply to real-world problems. You also learn how recommender systems can be leveraged in industries such as Health Care, Finance, and Telecom.
Learn how to
- describe the role and responsibilities of a data scientist
- explain several ways in which data scientists create value for organizations across many industries
- locate and acquire data from diverse sources
- use transformation and normalization techniques on both structured and unstructured data
- determine the most appropriate type of analysis and modeling tool to use for a given problem
- be able to implement an automated recommendation system
- develop, evaluate, and refine scoring systems for recommenders
- understand the considerations involved in working at scale
- identify meaningful, actionable, and business-oriented results from the analysis.
Who should attend
Data scientists, SAS programmers, and statisticians who have some basic familiarity with Apache Hadoop
Formats available | Duration | | |
Classroom: |
2.0 days | | |
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Before attending this course, you must
This course addresses SAS/STAT software.