The BCS Foundation Award in Understanding Data in Your Organisation has been designed for individuals interested in furthering their understanding of the role of data within an organisation.
Candidates may be working in a data role or in other areas of business where data is starting to become more prevalent in their day-to-day activities, for example, marketing, accounts, or customer service.
This award has been created alongside a selection of other awards in the AI space which offer candidates a clear pathway of progression into other disciplines of IT along with a broader knowledge of AI in the workplace. This makes it ideally suited for those looking for a change in career, an upskilling workforce, sustainable employers and individuals with a background in: science, engineering, knowledge engineering, finance, education or IT services.
You'll learn about:
This award contributes 5 credits towards the:
Learning Objectives
The differences between data, information, and knowledge
Understand and Describe How to Classify Different Types of Data
Understand and Describe How to Classify Different Types of Data: examples
Understand and Describe How to Classify Different Types of Data: Quantitative Data
Understand and Describe How to Classify Different Types of Data: Qualitative Data
Understand and Describe How to Classify Different Types of Data
The stages of the Data Lifecycle
Learning Objectives - recap
Learning Objectives
Structured Data
Structured Data - Relational Database and Primary Key
Advantages and Disadvantages of Structured Data
Structured Data - recap and helpful links
Semi-structured Data
Advantages and Disadvantages of Semi-Structured Data
Semi-Structured Data - recap
Unstructured Data
Advantages and Disadvantages of Unstructured Data
Unstructured Data - recap
Learning Objectives - recap
Learning Objectives
What is Data Architecture and its Purpose?
Explain What Data Architecture is and its Purpose
Example of a Data Architecture Model and Helpful Links
Why a business needs to map its data to its infrastructure, applications, and business functions
Benefits for a business which maps its data to its infrastructure, applications, and business functions
Common data structures and how they are used to manage information
The Functions of Data Architecture 1/2
The Functions of Data Architecture 2/2
The Functions of Data Architecture Recap and Data Science Lifecycle
Learning Objectives - recap
Learning Objectives
The Role of Data Analysis in Delivering Insight to a Business
Data Analyst Role and Responsibilities
Learning Objectives - recap
Learning Objectives
The Importance and Necessity of Data Quality and Compliance
Consequences of Data Errors
Consequences of Data Errors - Infographics
Data Lifecycle
Data Quality and Compliance - Commercial and Intellectual Property
Data Quality and Compliance - Trademarks and Patents
Quality Processes for Data
Quality Processes for Data - Cresswell's 6 Step Model of Qualitative Data Analysis
Quality Processes for Data - Standard Naming Conventions
Quality Processes for Data - Data Audits
Stages of The Data Lifecycle 1/2
Stages of The Data Lifecycle 2/2
Data Compliance CIA/AIC Model
Data protection issues and privacy issues associated with data management
Personal Data
Protected health information
Criminal offence data
Key principles of the General Data Protection Regulation
Data Subject Rights
Data Protection Principles 1/2
Data Protection Principles 2/2
Implications of non-compliance with GDPR
Learning Objectives - recap
If you change your mind about your course purchase, you can apply for a refund within 14 days of purchase, provided that you haven't accessed your course material. Please note that you are no longer eligible if you have accessed your course material or communicated with any course tutor.
