SAS Business Analytics along with visual analytics brings in the capability to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques, business visualizations testing and creating and explaining results in clear and concise reports.
SAS Visual Analytics help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualizations convey information in a universal manner and make it simple to share ideas with others. It lets people ask others, “Do you see what I see?” And it can even answer questions like “What would happen if we made an adjustment to that area?”
Business Data Management for Big Data (BDM) SAS Big data management is the organization, administration and governance of large volumes of data. Corporations, government agencies and other organizations employ big data management strategies to help them contend with fast-growing pools of data. SAS enables faster management of the data processes enabling faster delivery of analytics goals.
The Center of Applied Data Science is ASEAN’s first and only comprehensive Data Science training institution, and is endorsed by MDEC under its ASEAN Data Analytic Exchange (ADAX) initiative. Our program “Enterprise Data Science” has been specially designed by the alumni of one of the most renowned data science educators in the US – The Data Incubator, founded by Dr Michael Li – to nurture and hone your capability as a Data Science practitioner.
Note: This course does not provide comprehensive training on software products, but you do use SAS Visual Statistics, SAS Enterprise Miner, and SAS Text Miner software to complete class assignments. Prior knowledge of these software products is not required.
To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.
In this course, you gain the skills data scientists and statistical business analysts must have to succeed in today’s data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.
This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.
Presented by Bart Baesens, Ph.D. or Christophe Mues, Ph.D., Professors at the School of Management, or Cristian Bravo, PhD, Assistant Professor, Business Analytics, University of Southampton (UK); or Wouter Verbeke, Ph.D., Assistant Professor, Business Informatics, University of Brussels (Belgium); or Thomas Verbraken, Financial Industry Research Associate, KU Leuven (Belgium); or Catherine Truxillo, Ph.D., Manager, Analytical Education, or Chip Wells, PhD, Analytical Training Consultant, Education Division, SAS