Big Data Analytics and Fundamental Data Science Course (3 Modules)

The Big Data Analytics & Fundamental Data Science course is comprised of three modules that introduce data science basics and provide coverage of essential Big Data concepts and solutions and lifecycle stages, as well as introductory coverage of Big Data analytics and analysis.

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 Big 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.

Program: Next-Gen Data Science Academy

Prerequisites: None

Duration: 30 hours

Price: from $29

Corresponding Certification:
Big Data Science Professional

Inquire About Instructor-Led Training for Your Team

Workbook Lessons

Video Lessons

Reference Posters

Interactive Exercises

Graded Self-Test

Completion Certificate

Course Modules

MODULE 01 | Fundamental Big Data Science & Analytics
This foundational module establishes a basic understanding of fundamental data science, and explains Big Data from business and technology perspectives, including common concepts, models, benefits, challenges and adoption issues.

MODULE 02 | Big Data Analysis & Technology Concepts
Explores contemporary data analysis practices, technologies and tools for Big Data environments at a conceptual level, focusing on common analysis approaches, functions and features of Big Data solutions. Also covered is the Big Data Analysis Lifecycle.

MODULE 03 | Big Data Analysis & Technology Lab
Presents a series of exercises and problems that are designed to test your ability to apply your knowledge of topics covered in previous courses. The lab provides a series of real-world exercises for assessing and establishing Big Data environments, and for solving problems using common Big Data analysis techniques.