Big Data has the potential to enable organisations to gain a much greater insight into the market in which they operate and empower them to make better business decisions. As such there is an increasing demand for individuals with the knowledge and the skills to analyse and make use of Big Data.
The BCS Foundation Award - Big Data will enable you to understand how to manage Big Data and its use with Machine Learning. You will explore the terminology, general principles, concepts and approaches related to the management of Big Data. This includes the relationship between data and information, as well as an understanding of Big Data frameworks (including Hadoop) and applicable solutions.
1. What Is Big Data?
You will be able to:
1.1 Define Big Data.
1.2 Describe the difference between data and Big Data
1.3 Explain the different types of data structures and what can be included within each type.
1.4 Explain the need for a Big Data strategy
2. Working With A Big Data Framework
You will be able to:
2.1 Explain the need for a Big Data framework/network.
2.2 Identify Big Data frameworks and the benefits of using them.
2.3 Explain the need for data architecture.
3. Big Data Analytics
You will be able to:
3.1 Identify Big Data analytics.
3.2 Explain why data analytics is important.
4. Big Data And Machine Learning
You will be able to:
4.1 Describe why Machine Learning needs Big Data
4.2 Explain how Machine Learning uses Big Data
4.3 Illustrate the challenges of Big Data
This award sits within the Data area of the AI Foundation Pathway, offering a practical understanding of big data, its associated principles and approaches.
You’ll learn about:
The BCS Foundation Award - Big Data has been designed for those interested in furthering their understanding of Big Data within AI or to discover how their existing skillsets in Data Management can apply to a career in AI. This Foundation Award is ideal for candidates who are looking to move into analytical or research roles within AI.
Organisations will benefit by:
Individuals will benefit by:
There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.
The following titles are suggested reading for anyone undertaking this award. You should be encouraged to explore other available sources.
Title: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Author: Aurélien Géron
Publisher: O’Reilly
Publication Date: 2017
ISBN: 1491962291
Type: 16 Multiple Choice Questions, 2 Scenario Based Questions
Duration: 60 Minutes
Supervised: Yes
Open Book: No (no materials can be taken into the examination room)
Passmark: 13/20 (65%)
Delivery: Digital Format Only.
This award contributes 4 credits towards the:
You will explore the role of big data in AI, the relationship between data and information, big data frameworks (including Hadoop), applicable solutions and the processes and techniques used.
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