Course
digicode: H42600
Master Class Data Expert
Course facts
Download as PDF- Identifying relevant data-driven use cases and deriving new opportunities for your own company
- Increasing efficiency, promoting proactive decision-making, and strengthening resilience to secure sustainable competitive advantages
- Bridging the gap between business requirements and technical implementation, and fostering effective, interdisciplinary collaboration
- Initiating economically relevant data projects, strategically prioritizing them, and driving their implementation in a structured manner
- Integrating data-driven solutions into day-to-day operations and fostering a sustainable, data-driven decision-making culture
The Master Class consists of the following four courses, which build on one another, as well as an exam:
1 Getting Started with Successful Data Projects
- Data as a driver of value creation
- Fundamentals of data & AI
- Relevance and prerequisites of a data project
- Data: understanding, linking, and leveraging
- Data projects: from idea to implementation
- Business understanding 1 in data projects
- Thinking and acting with data
2 Fundamentals of Data-Driven Products
- Understanding data before making decisions
- Applying statistical fundamentals with confidence
- Exploring data and identifying common challenges
- Moving from assumptions to real knowledge
- Analyzing time series in a practical context
- Documenting insights professionally
- Providing clarity for the PoC
3 From Machine Learning to AI
- Basic concepts: from AI to machine learning models
- ML Projects I: setting up projects and preparing data
- ML Projects II: modeling and evaluation
- ML Projects III: putting ML and AI to use in the enterprise
4 From PoC to Data Product
- From idea to viable data solution
- Understanding operations & automation
- Hands-On: evaluating PoCs & making decisions
- Documentation & reproducibility
- Reporting, storytelling & change communication
- Integration, roadmap & management pitch
5 Exam: Master Class Data Expert
- E-exam
- Practical exam
Consists of the following modules
- Getting Started with Successful Data Projects
- Fundamentals of Data-Driven Products
- From Machine Learning to AI
- From PoC to Data Product
- E-exam: Master Class Data Expert
Your training is designed as a varied, part-time learning journey. Live training sessions with experienced experts are combined with digital self-study modules, hands-on exercises, and interaction within the learning community. This allows you to flexibly build new knowledge, deepen your understanding together with others, and directly apply it to specific challenges in your day-to-day work. Practical coaching sessions help you apply what you’ve learned effectively within your company. Your learning journey lasts approximately 4 months.
This training is ideal for anyone who wants to develop a strong data mindset and learn how to create real value through data, in order to define proofs of concept (PoCs) for data and AI projects and assess their feasibility. To do this, you’ll orchestrate solutions and communicate effectively between business units and IT.
- Project managers in data projects
- Process managers
- Professionals from controlling, HR, finance, etc., who are frustrated with Excel spreadsheets
- IT specialists and individuals who know a scripting language
- People who have little prior experience with data but are eager to learn
There are no formal requirements for participating in this training.
No date selection is required for this exam. You can take the exam at a time of your choosing in your learning environment. It consists of two parts:
E-exam: 20 multiple-choice questions covering the content from the four Master Class courses.
Practical exam: Analysis of a real-world data case study. Depending on your prior work in the four Master Class courses, you should plan on spending approximately 3–4 hours on this exam.
We recommend booking at least 14 days before the seminar date so that you can receive any documents by post in good time.