Data Analyst
37 eLearning modules · CPD Certified · SCORM
This comprehensive course equips you to become a proficient data analyst, mastering the collection, organisation, and study of data to deliver valuable business insights. You will gain a deep understanding of UK legal frameworks like GDPR and DPA 2018, alongside ethical considerations and security standards such as ISO 27001. Learn to apply statistical principles, manage the full data life cycle, and differentiate between various data types. The course covers defining customer requirements, combining diverse data sources, and using organisational tools to transform raw data into descriptive, predictive, and prescriptive insights, supporting informed decision-making across UK businesses.
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What this lesson contains
Principles of Statistics for Analysing Datasets
Current Legislation for Safe Data Use
Organisational Data and Information Security StandardsPreview not available
Principles of the Data Life CyclePreview not available
Principles of Data: Open, Administrative, and ResearchPreview not available
Structured and Unstructured Data DifferencesPreview not available
Data Structures and Database SystemsPreview not available
Principles of User Experience and Domain Context for Data AnalyticsPreview not available
Quality Risks in Data and MitigationPreview not available
Principal Approaches to Defining Customer Requirements for Data AnalysisPreview not available
Approaches to Combining Data from Different SourcesPreview not available
Organisational Tools and Methods for Data AnalysisPreview not available
Organisational Data ArchitecturePreview not available
Principles of Descriptive, Predictive and Prescriptive AnalyticsPreview not available
Ethical Aspects of Data Collation and UsePreview not available
Use Data Systems Securely and Privacy by DesignPreview not available
Implementing the Data Analysis LifecyclePreview not available
Applying Data Classification in AnalysisPreview not available
Analysing Data Structures and Database DesignsPreview not available
Assessing Impact of UX and Domain Context in Data AnalysisPreview not available
Identifying and Escalating Quality Risks in Data AnalysisPreview not available
Customer Requirements in Data AnalyticsPreview not available
Identifying Data Sources and Combination RisksPreview not available
Applying Organisational Architecture to Data AnalysisPreview not available
Applying Statistical Methodologies to Data AnalysisPreview not available
Applying Predictive Analytics in Data CollationPreview not available
Stakeholder Collaboration for Data AnalystsPreview not available
Advanced Analytical Techniques for Data AnalystsPreview not available
Data Collation, Interpretation and VisualisationPreview not available
Selecting Data Tools for Optimum OutcomesPreview not available
Maintaining a Productive, Professional and Secure Working EnvironmentPreview not available
Proactive Problem Solving for Data AnalystsPreview not available
Work Independently and CollaborativelyPreview not available
Logical and Analytical Thinking for Data AnalystsPreview not available
Effective Problem Solving for Data AnalystsPreview not available
Resilient Data Analysis: Turning Obstacles into InsightsPreview not available
Adaptability in Data AnalyticsPreview not available