Digital Transformation: Fundamental Data Science Course

Digital Transformation: Fundamental Data Science Course (3 Modules)

The Digital Transformation: Fundamental Data Science course is comprised of three modules that provide comprehensive coverage of contemporary data science and analysis practices and technology essential to Digital Transformation.

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 Digital Transformation Data Science Professional 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 09 | Fundamental Big Data Analysis & Analytics
Provides an overview of essential Big Data science topics and explores a range of the most relevant contemporary analysis practices, technologies and tools for Big Data environments. Topics include common analysis functions and features offered by Big Data solutions, as well as an exploration of the Big Data analysis lifecycle.

MODULE 10 | Fundamental Machine Learning
Provides an easy-to-understand overview of Machine Learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course module covers common algorithm types and further explains how Machine Learning systems work behind the scenes. The base course materials are accompanied with an informational supplement covering a range of common algorithms and practices.

MODULE 11 | Fundamental AI
Provides essential coverage of Artificial Intelligence and neural networks in easy-to-understand, plain English. The course module provides concrete coverage of the primary parts of AI, including learning approaches, functional areas that AI systems are used for and a thorough introduction to neural networks, how they exist, how they work and how they can be used to process information. The module further establishes a step-by-step process for assembling an AI system.