Data Analytics Certification
Learn data analytics methods, tools and visualisation in a practical online course – earn a recognised course certificate.
Build job-ready data analytics skills aligned with German industry standards, GDPR compliance, and modern business intelligence practices.
In today’s data-driven economy, organisations across Germany increasingly rely on data analytics professionals to guide decision-making, optimise performance, and ensure regulatory compliance. However, many learners struggle to bridge the gap between theoretical knowledge and real-world analytical application, especially within the German regulatory and business landscape.
Moreover, without structured training, professionals often lack clarity in areas such as data governance, SQL proficiency, statistical reasoning, and business intelligence tools. Consequently, this limits their employability in Germany’s competitive job market.
This course addresses these challenges by offering a comprehensive, structured learning journey—from foundational concepts to advanced analytical techniques. Additionally, it integrates EU and German frameworks, including:
- General Data Protection Regulation (GDPR)
- Bundesdatenschutzgesetz (BDSG)
- Bundesinstitut für Berufsbildung (BIBB)
As a result, learners not only gain technical expertise but also develop the compliance awareness and analytical mindset required for roles in Germany and across the EU.
Learning Objectives
Course Curriculum
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Analytics basics and role clarity
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Excel based data cleaning and summaries
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Data quality and measurement basics
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Ethics bias and responsible use
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Relational thinking and data models
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SQL querying fundamentals
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Advanced SQL for reporting and analysis
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Data sourcing from files and APIs
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Core programming for analysts
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Wrangling and transformation workflows
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Exploratory analysis and visual checks
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Automation and reproducible reporting
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Power BI or Tableau foundations
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Dashboards and KPI design
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Storytelling with data for decisions
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Communicating uncertainty and limits
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Probability sampling and distributions
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Confidence intervals and hypothesis tests
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Experiment design and A B testing
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Causal thinking and common pitfalls
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VET and digital credential pathways
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Key governance bodies and what they validate
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Federal rules and state implementation reality
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FernUSG risks BGH impact and GDPR readiness
Who is this course suitable for?
Requirements
Career opportunities
Certification information