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
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
DAC & CDS Package
DAC & CDS Package is the most time- and cost-effective way to earn DAC & CDS designations. It includes seven courses, covering the credits you need to earn DAC & CDS.
DAC Advanced Analytics Package
DAC Package is the most time- and cost-effective way to earn DAC designation. It includes four courses, covering the credits you need to earn DAC.
DAC Business Analysis Package
DAC Package is the most time- and cost-effective way to earn DAC designation. It includes four courses, covering the credits you need to earn DAC.
DAC Data Analytics Package
DAC Package is the most time- and cost-effective way to earn DAC designation. It includes four courses, covering the credits you need to earn DAC.
DAC Ex Advanced Analytics Package
DAC Package is the most time- and cost-effective way to earn DAC designation. It includes four courses, covering the credits you need to earn DAC.
DAC Ex Business Analysis Package
DAC Ex Package is the most time- and cost-effective way to earn DAC Ex designation. It includes four courses, covering the credits you need to earn DAC Ex.
DAC Ex Data Analytics Package
DAC Package is the most time- and cost-effective way to earn DAC designation. It includes four courses, covering the credits you need to earn DAC.
Data Analysis Fundamentals
This 5-hour online course looks at the core activities needed for data analysis that is
purposeful,
accurate, meaningful, and valuable: establishing analysis purpose with problem
framing, acquiring the right data for analysis, exploring and understanding the
data, preparing data for analysis, finding patterns and meaning, data
visualization, and communicating findings and conclusions of analysis.
Instructor: Dave Wells and Mark Peco
Data Ethics & Responsible AI Fundamentals
In this 3-hour course, Diana Ascher discusses the importance of data ethics & responsible AI in data management organizations along with three steps toward data ethics actualization in your organization.
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
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
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
Diagnostic Analytics Using Statistical Process Control
This 4-hour course provides an introduction to the concepts, techniques and applications of SPC within the context of information management. The theory of SPC is introduced and the design of control charts is discussed as a basis for describing how a diverse range of data and process quality management challenges can be addressed.
Instructor: Mark Peco
DLC Expert + DAC Advanced Analytics Package
DLC Expert & DAC Advanced Analytics Package is the most time- and cost-effective way to earn DLC & DAC designations. It includes six courses, covering the credits you need to earn DLC & DAC .
DLC Expert + DAC Business Analysis Package
DLC Expert & DAC Business Analysis Package is the most time- and cost-effective way to earn DLC & DAC designations. It includes six courses, covering the credits you need to earn DLC & DAC .
DLC Expert + DAC Data Analytics Package
DLC Expert & DAC Data Analytics Package is the most time- and cost-effective way to earn DLC & DAC designations. It includes six courses, covering the credits you need to earn DLC & DAC .
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
Fundamentals of Machine Learning
In this 3-hour course, students learn about machine learning and the data preparation workflow. The course begins with a portfolio of case studies to provide an overview, then covers the fundamental machine learning tasks and algorithms.
Instructor: Asha Saxena
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
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
Prescriptive Analytics Using Simulation Models
This 4-hour online training course provides an introduction to
prescriptive analytics using simulation models applied to areas that are
relevant to business analysts, operations planners, decision makers,
functional managers and BI team members.
Instructor: Mark Peco