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CompTIA Data+ Certification
Data is not just numbers – it is the foundation of modern business decisions. Those who evaluate information in a structured way, recognize connections, and present results clearly create real value. This training delivers exactly these competencies – practical, applicable, and free of unnecessary technical jargon.
Key topics
- Core principles of data analysis and data-driven work.
- Structuring, evaluating, and transforming data into actionable insights.
- Applying statistical and analytical methods with purpose.
- Visualizing complex datasets and presenting them in an understandable way.
- Ensuring quality, data protection, and responsibility in data handling.
- Communicating and presenting data-driven insights to the right audiences.
Prerequisite
Some familiarity with digital systems, data, or analytical thinking is helpful – in-depth technical prior knowledge is not required.
Target group
Suitable for everyone working with data in analysis, specialist, or IT roles who want to integrate sound evaluations into their daily work.
Data literacy is no longer a niche skill – it is a fundamental requirement for successful digital work. This training provides the tools to build it.
Course Content
Foundations: Data Concepts and Working Environments
- Recognize and distinguish different types of data sources and their characteristics.
- Understand the structure and principles of modern data infrastructures.
- Assess and categorize analysis tools according to their use case.
- Grasp the core principles of AI and their impact on data processes.
Collecting, verifying, and cleaning data
- Apply methods for structured data collection and capture.
- Systematically check and evaluate the consistency and quality of datasets.
- Clean and transform erroneous or inconsistent data.
Statistical methods and analysis processes
- Prepare and communicate analysis results clearly for the right audience.
- Select appropriate statistical methods based on data and context.
- Identify methodological errors in analyses and resolve them systematically.
Visualizing data and creating reports
- Use visual formats purposefully for clarity and impact.
- Structure, create, and use audience-appropriate reports effectively.
- Check data quality using validation methods and correct deviations.
Data governance, compliance, and data protection
- Manage and organize data assets in a structured and efficient manner.
- Understand regulatory requirements and compliance obligations in the data environment.
- Understand and practically apply data protection and security measures.
- Continuously monitor and systematically ensure data quality.
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
Why is data literacy indispensable today?
- Data shapes strategy, processes, and innovation. Analytical thinking reveals patterns, improves forecasts, and provides orientation in an increasingly data-driven world of work.
What does the CompTIA Data+ certificate offer professionally?
- The certificate provides documented proof of analytical competency across the entire data process – internationally recognized evidence of in-demand skills in modern, data-driven organizations.
Which tasks does Data+ specifically qualify for?
- Collection, analysis, visualization, and communication of data – the training directly qualifies for tasks in analytics, controlling, reporting, and data-driven projects across various industries.
Which tools does the Data+ training work with?
- The focus is on practice-relevant tools and concepts: SQL, database logic, dashboard creation, and visualization – complemented by application examples with tools such as Excel, Power BI, and other analytics platforms.
How does sound data analysis improve business decisions?
- Individual pieces of information become actionable insights. Structured data analysis makes relationships, risks, and opportunities visible – essential for forward-looking digital business models.
Is Data+ worthwhile without an IT background?
- Not at all limited to IT professionals. Analytical competency is in demand across almost every profession – whether in strategy, marketing, finance, or project management. The training is explicitly designed for non-technical professionals too.
What does professional data analysis encompass in practice?
- Professional data work combines data quality, statistics, mining, visualization, governance, and reporting. The key is competent handling of data throughout the entire processing cycle.
What makes a vendor-neutral data certification valuable?
- Vendor-neutral certifications demonstrate broad data competency without product bias. They signal current practical skills in analysis, process design, and data-driven work – recognized across sectors.
