Data Analytics & Evidence‑Based Decision Making

Data Analytics & Evidence-Based Decision Making master GDPR, AI governance & predictive analytics. Designed for professionals across Germany.

Data Analytics & Evidence‑Based Decision Making

Course Overview of Data Analytics & Evidence‑Based Decision Making

Imagine this: a mid-sized company in Munich makes a major strategic decision – without reliable data. The result? High costs, inaccurate forecasts, and a competitive disadvantage. This is still happening in many German companies today. According to a Bitkom study, more than 60% of German businesses fail to use their available data sufficiently when making decisions.

 

The course Data Analytics & Evidence-Based Decision Making shows you how to change that. You will learn how to analyse data purposefully, draw smart conclusions from it, and make decisions on a solid, factual basis. The course is firmly grounded in the German legal framework – from the GDPR and BDSG to the EU AI Act – combining technical knowledge with legal confidence.

 

Whether you work in healthcare, finance, public administration, or manufacturing: data-driven decisions are the key to success. This course gives you the tools, the language, and the practical knowledge to make an immediate impact in your sector.

 

Data Analytics & Evidence‑Based Decision Making

Learning Objectives

By the end of this course, you will be able to:

  • Confidently apply key German and European data protection laws – GDPR, BDSG, TTDSG, and the AI Act
  • Use modern analytical methods such as predictive analytics and machine learning in practice
  • Build a data-driven organisational culture and develop KPIs for executive decision-making
  • Design data pipelines, feature engineering processes, and model governance frameworks securely
  • Identify, assess, and effectively mitigate algorithmic bias
  • Integrate data protection and ethical principles into analytics projects from the outset
  • Manage data risks systematically and establish audit frameworks for data-driven processes
  • Contextualise and assess future trends such as AI autonomy, IoT analytics, and smart cities

Course Curriculum

6 Sections 24 Lectures 6 Hours
  • Federal laws: DSGVO, BDSG, TTDSG, AI Act, OZG
  • State laws: LDSG, IFG, digitalization & IT security acts, open data initiatives
  • Ethical guidelines: DEK recommendations, responsible AI
  • Data governance strategies for compliance
  • Predictive & prescriptive analytics
  • Machine learning pipelines & model governance
  • Feature engineering & high-quality datasets
  • Handling structured & unstructured data
  • Developing a data-driven culture
  • KPI selection & executive dashboards
  • Risk assessment & scenario modeling
  • Applications: healthcare, finance, manufacturing, public sector
  • Data ethics principles in Germany
  • Algorithmic bias mitigation
  • Privacy-preserving analytics
  • Ethical case studies in AI and analytics
  • Data quality management
  • Analytics process risk mapping
  • Cybersecurity & IT compliance
  • Audit frameworks for data-driven decisions
  • AI-driven & autonomous analytics
  • IoT integration & real-time analytics
  • Predictive analytics for policy & economics
  • smart cities, digital healthcare, Industry 4.0

Who is this course suitable for?

This course is designed for:

  • Professionals and managers who want to make decisions based on data
  • Data analysts and business intelligence professionals looking to deepen their legal knowledge
  • IT and digitalisation managers in German companies and public authorities
  • Compliance and data protection officers who want to build analytical competence
  • Project managers and consultants working in digital transformation
  • Career changers interested in data analytics and AI governance
  • Students and recent graduates looking to improve their career prospects in the data economy

Requirements

  • Basic knowledge of IT or business administration is helpful but not required
  • An interest in data-driven topics and a willingness to explore new tools and concepts
  • No programming skills necessary – the course is practice-oriented and accessible
  • A computer with internet access and approximately 4–6 hours per week to invest

Career opportunities

This course qualifies you for sought-after roles in Germany's growing data economy:

  • Data Analyst Data evaluation, reporting, and dashboards for leadership.
  • Business Intelligence Manager BI strategy, managing analytics teams, KPI definition.
  • Data Scientist Machine learning, model development, predictive analytics.
  • Chief Data Officer (CDO) Enterprise data strategy, governance, and compliance.
  • Compliance & Data Governance Officer GDPR compliance, data quality assurance, audits.
  • AI Ethics Consultant AI risk assessments, bias audits, responsible AI advisory.

Certification information

Upon successful completion of the course, you will receive a Data Analytics & Evidence‑Based Decision Making certificate documenting your knowledge & skills in this area.

Certificate Image

Frequently Asked Questions

01 What prior knowledge do I need to start the course? +

No programming or statistics background is required. Basic knowledge of IT or business administration is helpful but not essential. The course is structured to suit both beginners and those with existing experience.

02 Is the course aligned with the German data protection framework – GDPR, BDSG, and the AI Act? +

Yes, absolutely. Module 1 is dedicated entirely to the German and European legal framework. From the GDPR, BDSG, and TTDSG to the new EU AI Act – you will get to grips with all the relevant regulations and understand how they affect your working life.

03 Can I complete this course alongside my job? +

Yes, the course is flexible and self-paced. It is designed specifically for working professionals. With roughly four to six hours of study per week, you can complete the course within a few weeks – at your own pace.

04 Which professional groups benefit most from this course? +

The course is particularly popular among professionals from companies, the public sector, healthcare, and the financial industry. Data analysts, business intelligence professionals, data protection officers, and IT managers all stand to gain significantly.

05 Is the certificate recognised by employers in Germany? +

The certificate is internationally recognised and valued by many German employers as evidence of continuing professional development. It makes an excellent addition to your CV, LinkedIn profile, and job applications in the data economy.

06 Does the course cover how to use AI tools ethically and in compliance with data protection law? +

Yes. Module 4 addresses exactly this: data ethics, algorithmic bias, privacy-preserving analytics, and responsible AI in the German context. Using real-world case studies, you will learn how to deploy AI tools in a legally compliant and ethically sound manner.

07 Which sectors in Germany offer the most jobs in data analytics? +

In Germany, the sectors with the highest demand for data professionals are finance and insurance, healthcare, manufacturing (Industry 4.0), public administration, and IT/technology. All of these areas are covered with practical examples throughout the course.

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