CIMP Business Intelligence & Analytics Package
CIMP Business Intelligence & Analytics Package includes courses and exams necessary to earn Certified Information Management Professional (CIMP) designation in Business Intelligence & Analtyics track at a great discount.
CIMP Ex Business Intelligence & Analytics Package
CIMP Ex Business Intelligence & Analytics Package offers comprehensive education in Business Intelligence & Analytics capped with the highest level of Certified Information Management Professional designation (CIMP Ex) in the Business Intelligence and Analytics track at a great discount.
Fundamentals of Business Intelligence
In this 5.5-hour course you will learn basic terminology, concepts, purpose and capabilities of BI, get introduced to the common challenges and risks encountered in BI implementations, and understand the role of people, information, technology and business objectives in BI success.
Instructor: Mark Peco
(18)
Big Data Fundamentals
This 3.25-hour online course addresses the technical community as well as
the user community, providing guidance on how to penetrate and benefit
the enterprise. This practical session will help you make the most of
big data and make the best choices to ensure information remains an
unparalleled corporate asset.
Instructors: William McKnight and Jake Dolezal
(4)
Introduction to NoSQL
This 3.5-hour online course addresses the emerging class of NoSQL
technologies for managing operational big data. This includes key-value,
column stores, document stores and graph databases. Learn about the
ideal workloads for NoSQL in enterprises and where NoSQL adds value to
an enterprise information strategy. Learn how to get the projects
started or dropping the “not in production” label.
Instructors: William McKnight
Analytics Fundamentals
This 6-hour online course provides a foundation to understand the scope and the key success factors of analytics. Concepts and terminology are introduced, and scope of analytics is
discussed to set context and provide a frame of reference for topics
that follow.
Instructor: Mark Peco and Dave Wells
(3)
Data Understanding and Preparation for Data Science
This 3-hour online course addresses how to translate the problem statement into data sources, explore the data for relationships and recognize patterns, identify the starting inputs for the model, preparing data, and validating it for the model fitting process.
Instructor: Deanne Larson
Root Cause Analysis
Understanding why things happen is a fundamental management skill. Through this 4-hour course you will discover the art and science of knowing why. Learn to apply linear thinking, lateral thinking, systems thinking, and critical thinking – independently and in combination – to get to the core of even the most vexing problems.
Instructor: David Wells
(45)
Fundamentals of Predictive Analytics
By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer. This 5-hour online course goes from fundamentals and best practices to hands-on discussion of predictive analytics models and their applications.
Instructor: Eric Siegel
(15)
Data Mining in R
This 3.5-hour course provides an introduction to R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics
Instructor: Deanne Larson
Web Analytics
This 3 hour online training course provides an overview of Web analytics, as well as analytics techniques and applications that are suitable to the context of Web data.
Instructor: Jake Dolezal
Data Mining Concepts and Techniques
This 3-hour online course will give you insight into the data mining process,
explain models and algorithms, and give an understanding of how to match
the right data mining models to the right problems.
Instructor: Deanne Larson
(2)
Data Visualization and Storytelling
This 3.5-hour online course describes how to continue the final stretch of the data analysis journey by visualizing data and using data storytelling to engage, excite, energize, and motivate.
Instructor: Mark Peco