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Data Analysis & Reporting
Wisdom Learning Limited

| Easy Refund | Free e-Certificate | Instant Access | No Hidden Fees | 24/7 Support |

Summary

Price
£15 inc VAT
Study method
Online, On Demand 
Course format
33 PDFs and 1 Quiz
Duration
2.5 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

2 students purchased this course

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Overview

Do you understand individual parts of data work but still lack a clear view of how analysis, compliance, visualisation and reporting connect? Data Analysis & Reporting can become fragmented when statistics, UK data rules, Excel, dashboards and real-time sources are studied separately. This course brings these areas together, helping you build a broader foundation in Data Analysis & Reporting. You will explore UK data protection, ethics, statistical analysis, regression, classification, data mining, visualisation, Excel, KPI reporting and real-time analysis. You will examine Tableau, Power BI, Python, Power Query, Data Analysis ToolPak, Apache Kafka and Spark. It provides a structured foundation.

Why Enrol on This Course

  • Build broader knowledge — connect core concepts across Data Analysis & Reporting.
  • Prepare for further study — establish knowledge of statistics, reporting and data governance.
  • Strengthen workplace understanding — examine UK compliance, KPIs, dashboards and stakeholder reporting.
  • Explore career areas — understand data-related contexts across business and public services.

Certificate Included

  • Certificate included in the price, with 24/7 support and a 14-day refund offering a risk-free learning investment.

No-Cost Exam MCQ

  • No-cost exam MCQ included to reinforce knowledge across the curriculum.

Certificates

Curriculum

This course contains

Format: 33 PDFs and 1 Quiz

Duration: 2h and 28m

Description

Data Analysis & Reporting brings together foundations, methods and professional context. You will examine UK regulations, ethics and data integrity, then progress into statistical decision-making, hypothesis testing, regression, clustering, classification and data mining. UK market and consumer behaviour examples add context to Data Analysis & Reporting.

Data Analysis & Reporting then considers visualisation and storytelling using Tableau, Power BI and Python, followed by Excel cleaning, formulas, pivot tables, Power Query and reporting. You will also examine KPI measurement, sector-specific reporting, compliance and audit considerations, and stakeholder communication.

The final module introduces real-time sources, streaming concepts and Apache Kafka and Spark.

Learning Outcomes

• Explain key concepts within Data Analysis & Reporting and UK data governance.
• Describe GDPR, the Data Protection Act 2018, ICO data sharing guidance and PCI-DSS.
• Examine statistical methods, regression, classification and data mining.
• Identify effective visualisation, dashboards and data storytelling principles.
• Recognise Excel-based preparation, modelling and reporting approaches.
• Discuss KPI reporting, audit considerations and real-time data concepts.

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

Requirements

  • Learners with no prior Data Analysis & Reporting knowledge may enrol in this Data Analysis & Reporting
  • This Data Analysis & Reporting course has no requirements.

Career path

DATA ANALYSIS & REPORTING training offers a unique opportunity to gain valuable skills and advance your career

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FAQs

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