CompTIA Data+ Certification

Price
Net: €
VAT: €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

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Numbers, information, and digital traces provide valuable insights—when interpreted correctly. Modern data analysis helps identify patterns, predict trends, and make decisions based on a solid foundation. This makes data literacy a key competency in the digital economy.

Key Topics

  • Data analysis and data-driven work.
  • Structuring and evaluating information.
  • Fundamentals of analytical methods and statistics.
  • Data visualization with clear results.
  • Quality assurance and responsible data use.
  • Communication of data-driven insights.

Prerequisites
Basic experience with digital applications, data, or analytical work is beneficial.

Target Audience
Suitable for specialists, analysts, and IT professionals who want to use and interpret data professionally.

As digitalization grows, the importance of reliable data analysis increases. Up-to-date data skills support better decision-making and lay the foundation for successful digital developments.

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Course Content
  • Understand data concepts and data sources.
  • Learn the fundamentals of modern data infrastructures.
  • Classify tools for data analysis.
  • Understand the basic concepts of artificial intelligence (AI).
  • Collect and analyze data.
  • Check data quality and identify discrepancies.
  • Clean and transform data.
  • Communicate the results of the data analysis in a targeted manner.
  • Apply statistical methods appropriate to the given scenario.
  • Identify and correct errors in the analyses.
  • Use visual elements strategically.
  • Create and use reports in a targeted manner.
  • Analyze and correct errors using validation techniques.
  • Manage and organize data efficiently.
  • Understand compliance requirements in the data environment.
  • Apply data protection and security concepts.
  • Analyze and ensure data quality.

Frequently Asked Questions

  • Data shapes strategies, processes, and innovations. Those who analyze information correctly can identify trends more quickly, make better decisions, and shed light on complex relationships.
  • It certifies practical data literacy—from analysis and interpretation to reporting. It is international recognition of skills that are becoming increasingly important in data-driven companies.
  • Collect, analyze, visualize, and present data in a clear and understandable way. The content supports typical tasks in business analytics, reporting, controlling, and data-driven projects.
  • We use solutions and concepts related to SQL, databases, table analysis, dashboards, and visualization—including tools such as Excel, Power BI, and other analytics platforms.
  • Clear insights emerge from individual pieces of information. Data analysis reveals patterns, trends, and opportunities—an important foundation for successful digital business processes.
  • No. Data literacy is needed in many fields—from IT to marketing and finance to project management. Analytical understanding combines subject matter expertise with measurable results.
  • These include data quality, data mining, statistics, visualization, governance, and reporting. The secure handling of data throughout the entire analysis process is crucial.
  • Data is transforming nearly every industry. A vendor-neutral certification demonstrates current proficiency in working with data, analytical processes, and modern data-driven work methods.
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