Data Science Governance Course

Data Science Governance Course (3 Module Bundle) Pre-Order

The Data Science Governance course is comprised of three modules that define and explore the utilization of the precepts, processes and roles for establishing and maintaining a governance framework that can encompass Machine Learning, Artificial Intelligence (AI) and Big Data solutions.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Data Science Governance Specialist Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

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Workbook Lessons

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Video Lessons

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Reference Posters

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Interactive Exercises

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Graded Self-Test

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Completion Certificate

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Course Modules

MODULE 19 | Fundamental Data Science Governance for Big Data, Machine Learning & AI
Describes data science governance concepts and basics and identifies common risks and challenges, as well as key roles for those involved in governance projects. The course module further explores the analytics pipeline governance lifecycle and establishes over 70 data science governance precepts and processes. The module maps how precepts and processes relate to each other and how they relate to governance stages.

MODULE 20 | Advanced Data Science Governance for Big Data, Machine Learning & AI
In this course module, over 80 additional data science governance precepts and processes are described in relation to analytics platform governance and machine learning and AI pipeline governance stages. Relevant roles are also mapped to individual governance stages.

MODULE 21 | Data Science Governance Lab for Big Data, Machine Learning & AI
A lab during which you are asked to apply the concepts, processes, techniques and metrics previously covered in order to complete a set of exercises. Specifically, you are required to solve various inter-related problems with the goal of fostering a comprehensive understanding of how different data science governance precepts and processes can be applied to address common governance concerns.