CompTIA Data+

Length 5 days
Price $3927 inc GST

Course overview

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Why study this course

CompTIA Data+ is a vendor-neutral, ISO-accredited certification designed for early-career data analysts. It proves you have hands-on skills in collecting, preparing, analysing, visualising, and managing data - helping you support business decision-making.

Data+ is an ideal certification for not only data-specific careers but other career paths outside of IT can also benefit from analytics processes and data analytics knowledge.

Equip yourself with skills to better analyse and interpret data, communicate insights, and demonstrate competency. CompTIA Data+ validates that certified professionals have the skills required to facilitate data-driven business decisions.

New Version: Data+ V2 features updated domains covering the latest data analytics tools, cloud and AI technologies, and more emphasis on troubleshooting and governance, preparing you for current workforce demands.

Lumify Certify is now included with this course offering additional premium exam preparation materials to complement the CompTIA official courseware, at no extra cost.

Inclusions:

Video: Structured lessons so you can revisit the topics for exam prep.
Quizzes: Short knowledge checks after each module that show you what you know and what still needs work.
Practice exams: Timed practice exams in the format you’ll face on the day, with an explanation for every answer.

Please note: The exam is not included in the course fee but can be purchased separately. Please contact us for a quote.

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What you’ll learn

Build a foundation in modern data concepts so you can confidently navigate analytics tools and data sources in any organisation.
Transform, clean, and organise raw data to make it reliable and useful for analysis.
Apply statistical methods to extract trends, uncover insights, and support business decisions.
Use data visualisations and dashboards to translate complex results into presentations anyone can understand.
Maintain data quality, ensure compliance, and protect sensitive information in alignment with industry standards.
Solve data problems, validate reports, and resolve analytics issues as they arise on the job.

CompTIA at Lumify Work

CompTIA is the voice of the world’s information technology (IT) industry. A non-profit association, CompTIA offers IT professionals vendor neutral, industry-leading IT certifications. Lumify Work is proud to be a CAPP Gold Partner – offering A+, Network+, Security+, CySA+, Pentest+, and more.

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Who is the course for?

You should consider Data+ if you want to start or advance your career in data analytics, business analysis, or related roles where practical data skills are valued.

Data Analyst
Business Intelligence Analyst
Reporting Analyst
Business Data Analyst
Operations Analyst
Marketing Analyst

Course subjects

Data concepts and environments

Explain data concepts: Database types, data structures, file extensions, and data types.
Identify data sources: Databases, APIs, website data, files, logs and repositories.
Recognise infrastructure concepts: Cloud, on-premise, storage, and containerisation.
Identify data tools: Coding environments, BI software, and analysis platforms.
Understand AI concepts: Identify AI models, natural language processing, and robotic automation.

Data acquisition and preparation

Use data acquisition methods: Data integration and queries to gather and combine data.
Perform data exploration: Find missing values, duplication, redundancy, or outliers.
Apply data transformation: Cleansing, merging, parsing, and formatting data.

Data analysis

Communicate analysis results: Select methods for different audiences.
Select statistical methods: Apply basic statistical techniques to data.
Troubleshoot analysis issues: Use tools and resources to resolve problems.

Visualisation and Reporting

Create effective visuals: Use charts, maps, tables, and design elements.
Deliver reports: Provide dashboards or summaries using appropriate methods.
Validate reporting accuracy: Apply validation and review to solve reporting issues.

Data Governance

Explain data management practices: Documentation, versioning, and data lineage.
Summarise compliance requirements: Retention, audits, and regulations.
Compare privacy and protection strategies: Access control, encryption, and masking.
Implement quality assurance: Profiling, monitoring, and testing for data quality.

Prerequisites

There are no formal prerequisites, but 18–24 months of practical experience in a data-centric role and basic skills in databases, analytics tools, and statistics are recommended.

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Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.