This online course will cover the key concepts and practices needed for a successful data science program.

Instructors: Mark Peco and Natasha Balac

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

This 3-hour online course addresses how to scope, plan, and choose a project approach for analytics project success and clearly identify the problem and opportunities to be analyzed.

Instructor: Deanne Larson

This 3-hour online course provides an overview of the scientific method within the context of solving business problems with the goal of introducing the key concepts, tools, and skills for practice.

Instructor: Jennifer Leo

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

This course presents the basics of AI from history to modern AI with the illustrative applications of endless possibilities.

Instructor: Natasha Balac

This 3-hour course covers the concepts, applications, and business and technical drivers for streaming data adoption, including an in-depth discussion of Apache Kafka.

Instructor: Dave Wells and Kevin Petrie

This 3-hour course focuses on how to match the business problem to candidate algorithms, produce comparable models, choose the best performing model, and once in production, what to do to address ongoing value.

Instructor: Deanne Larson

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

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

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

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

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

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