Portugal
course
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.
Learn how to
: 6 half day sessions
Before attending this course, you should have taken a college-level course in statistics, covering distribution analysis, hypothesis testing, and regression techniques or have equivalent knowledge. You can gain this knowledge from the course.
This course addresses SAS Enterprise Miner, SAS Text Miner, SAS Model Manager, SAS Visual Statistics, SAS Factory Miner software.
Overview
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.
Learn how to
- express a business problem as a manageable analytical question
- identify the appropriate analysis to address the question
- visualize and explore data
- select statistical analyses that help answer the question
- translate complex statistical results into actionable business decisions.
: 6 half day sessions
Before attending this course, you should have taken a college-level course in statistics, covering distribution analysis, hypothesis testing, and regression techniques or have equivalent knowledge. You can gain this knowledge from the course.
This course addresses SAS Enterprise Miner, SAS Text Miner, SAS Model Manager, SAS Visual Statistics, SAS Factory Miner software.
Overview
- defining terms
- concepts of data science
- exploring and visualizing data
- pitfalls and good practices
- interpreting clusters
- fundamentals
- decision trees
- random forests
- model comparison
- mass-scale predictive modeling
- model deployment and management
- why experiment?
- types of business experiments
- incremental response modeling
- text analytics
- social networks
- knowing your audience
- creating effective messages
- demonstrating value
www.sas.com
15 Dezembro