Data Analysis & Reporting

Categories Human resources (HR), Information Technology IT, Office Productivity, Personal Development

The Data Analysis & Reporting course is designed to equip professionals with the essential skills and knowledge to manage, analyse, and report data effectively within the UK context. This comprehensive Data Analysis & Reporting course covers data analysis foundations, regulatory compliance, advanced statistical methods, data visualisation, and real-time reporting techniques. Participants will gain proficiency in industry-standard tools like Excel, Tableau, Power BI, and Python, as well as a thorough understanding of UK data regulations such as GDPR and the Data Protection Act 2018. Through a blend of theoretical knowledge and hands-on practice, this Data Analysis & Reporting course will guide learners in transforming raw data into actionable insights, enabling data-driven decision-making and clear communication with stakeholders. With a strong emphasis on UK industry-specific practices, participants will gain the skills needed to excel in data-intensive roles across various sectors, including finance, healthcare, government, and beyond.

How This Data Analysis & Reporting Course Can Help (UK Context)

Stay Compliant and Competitive
Enhance decision-making
Increase Employability and Career Progression
Improve Stakeholder Communication
Boost efficiency with real-time insights
Adaptable Skill Set Across Sectors

Who is this course for?

This Data Analysis & Reporting course is ideal for:

Business analysts and data professionals
Managers and decision-makers
IT and Compliance Specialists
Marketing and financial analysts
Public sector employees
Graduates and aspiring data analysts

Understand Core Data Analysis Principles: Grasp essential analytical concepts, including data types, collection methods, integrity, and compliance with UK data standards.
Navigate UK-Specific Data Regulations: Apply GDPR, Data Protection Act 2018, and other regulations in data analysis and reporting.
Conduct advanced statistical and predictive analyses. Utilise techniques like regression analysis, clustering, and data mining to derive actionable insights.
Develop Visual and Narrative Reporting Skills: Use visualisation tools (Tableau, Power BI, Python) to craft data-driven stories and create stakeholder reports.
Implement Real-Time Data Analysis: Employ streaming tools (Apache Kafka, Spark) for live data analysis and reporting, tailored to UK business scenarios.
Excel in Data Manipulation and Modelling: Master advanced Excel techniques to handle complex data processing and model building for UK business needs.
Produce compliant and high-quality reports: Apply best practices in UK industry-specific reporting, KPI setting, and quality standards for audits and compliance.