Building Analytic Datamarts - Course Offering
From sasCommunity
This SAS Course is based on the book Data Preparation for Analytics by Gerhard Svolba.
Contents |
[edit] Description
This course teaches the ecosystem for analytic data preparation, as well as the most commonly used data structures and their adequacy for certain analytic business questions. You receive a guideline for how to approach the creation of important derived variables and learn tips and tricks for efficient SAS programming for the creation of analytic data marts.
[edit] Who Should Attend
Those who prepare data marts for statistics, data mining, and time series analysis; those who provide data for the creation of data marts; those who perform analyses on the basis of data marts; and those who prepare analytic data marts in relational databases with SQL
[edit] Learn How to
- understand the business environment, in which data preparation is included, in more detail
- identify the relevant data sources based on the business questions
- extract and structure your data marts
- create derived variables from different tables and table relationships
- consider characteristics of predictive modeling
- put your data preparation steps into production
- program SAS in an efficient way.
[edit] Before attending this course you should
- know basic SAS programming
- have experience with statistics and/or data mining.
[edit] Next Offerings
- As part of the SAS European Course Program; tought by Gerhard Svolba, the author of the book
- Course in German see SAS Germany
[edit] Anonymous Feedback of Course Participants
- Topics are very practice oriented!
- I wished I could have attended that course 2 years ago; I would have saved a lot of time!
- Excellent combination of business background and valuable coding tips!
