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Digital Transformation: Fundamental Data Science Course (3 Module Bundle)

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 to help reinforce your understanding of specific topics. Upon completing the course, you can proceed to take an online self-test. After passing the self-test you will receive an official digital Certificate of Completion and will also be provided with the option to order a digital Training Badge from Acclaim/Credly. Passing the self-test also prepares you for the official certification exam, as explained on the Digital Transformation Data Science Professional Certification page. A separate Exam Prep Kit with more sample questions can also be ordered.

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

Contact [email protected] with any questions.

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Workbook Lessons


Video Lessons


Reference Posters


Interactive Exercises


Graded Self-Test


Completion Certificate


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.