CompTIA Data Analysis Essentials Workshop (Excluding Content, Assessment, CompCert)

Introduction

CompTIA Data Analysis Essentials is a practical, hands-on course designed for anyone who wants to make better decisions with data, no technical background required. No matter your role, this course gives you the skills to collect, clean, analyse, and share data using everyday tools like Excel and Google Sheets.

Through interactive videos and real-world scenarios, you will build confidence turning raw information into clear, actionable insights you can use in any role.

Why Choose CompTIA Essentials Workshop?

Tailored to different earning styles, organisational requirements and varying schedules, our workshop series of all CompTIA Essentials courses, are designed to provide you with the short and focused learning, without heavy content but with workplace relevancy.

• Practical & Interactive Content: Hands-on activities and real-world scenarios ensure practical application
• Affordable & Accessible: Courses are budget-friendly compared to full certifications. No pre-requisites – open to anyone from the age of 13 years old, all backgrounds and career paths
• Employer Recognition: CompTIA is globally trusted, and Essentials skills align with what 86% of HR professionals say is critical got future workforce success (digital fluency and soft skills)

Audience Profile

• Professionals seeking practical data analysis
• Students
• Career changers
• HR professionals
• Finance Professionals

Pre-requisites

None – beginner-friendly.

What is included?

• Live Instructor-Led Workshop
• 1 Day – focused Interactive lesson
• Hands-on activities and real-world scenarios
• Hand-out for post-class reference
• Letter of Attendance

Learner Outcomes and Benefits

Upon completion of the Data Analysis Essentials course, learners will be able to demonstrate foundational data analysis skills, including identifying data sources, cleaning, and manipulating datasets, executing basic statistical analysis, and visualizing results in clear, actionable formats. Learners will be prepared to contribute to data-driven decision-making processes within their organizations or pursue additional training and certifications in the field of data analytics.

• Understand data fundamentals: Learn how data is structured, stored, and used across business contexts
• Collect and prepare data: Gain practical experience in finding, importing, cleaning, and validating data from various sources
• Analyse data sets: Develop skills in summarizing and interpreting data using basic statistical methods and tools
• Visualize data effectively: Create clear, informative charts and graphs that communicate data insights to various audiences
• Use industry-standard tools: Get hands-on with popular data analysis software and platforms through guided labs and exercises
• Present data-driven findings: Practice building and delivering presentations or reports to share your analysis and recommendations
• Apply data ethics and security: Understand key principles for handling data responsibly, including privacy and ethical considerations