eLearningCurve Update: June 6, 2017 Skills for Analytics
Skills for Analytics:
From Insight to Action to Innovation
Everyone in business management today has an interest in analytics to guide strategy, tactics, and execution. This multi-faceted field encompasses a wide range of analytics goals including descriptive, discovery, diagnostic, predictive, and prescriptive analytics.
Analysts range from line-of-business managers using self-service visual analysis tools to statisticians and data scientists using advanced statistical analysis techniques.
Effective analysts need the skills to find the right datasets, understand data content and structure, blend and transform data, format data for analysis, visualize data and find patterns, and explain the meanings of the patterns.
In this short video clip Dave Wells discusses skills needed to take analytics from insight to action to innovation.
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Upcoming Event
Data Modeling Zone Conference
16 - 18 Oct 2017 | Hartford, CT
DMZ contains over 50 sessions crossing five tracks: Foundational Data Modeling, Requirements and Communication, Big Data and Architecture, Hands-On and Case Studies, and Advanced Data Modeling.
