Getting started with successful data projects
Developing a data mindset and identifying use cases
Did you know?
This course is part of the certified Data Expert Master Class. By booking the entire Master Class,you save 26 percent compared to booking the individual courses.
- Foundation of data & AI
- Relevance and requirements of a data project
- Data projects: From idea to implementation
- Business understanding in data projects
Contents and course schedule
- Data as a driver of value creation
- Lego and data
- First touch point with artificial intelligence
- Foundation of data & AI
- From data to decisions
- the AI universe
- Relevance and requirements of a data project
- Digital transformation as a data driver
- Data mindset: Think data, do data
- Change management
- Data: Understand. Connect. Utilize.
- Foundation of data & AI
- Relevance and requirements of a data project
- Data projects: From idea to implementation
- Steps toward data-driven decision-making
- Tasks & Roles
- CRISP-DM as a manual
- Business Understanding 1 in Data Projects
- Strategic use of data and AI
- Value Proposition
- Think and act with data
- From idea to implementation
- Business Understanding 2
- Data understanding from a business perspective
This is how you learn in this course
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.
Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).
Your benefit
- You understand how data science and artificial intelligence can support you in data-driven projects to generate significant added value .
- You will learn the prerequisites for a data-driven project by creating the necessary data mindset and highlighting the corresponding change management.
- You will receive a clear roadmap of the steps required in a data-driven project and will be able to define the necessary tasks and roles.
- You will learn how to use data strategically and how to develop a compelling value proposition to ensure that your data projects directly contribute to business objectives.
Methods
A well-thought-out mix of content, methods and support is essential for learning success, especially in blended online learning. Our course concept is precisely tailored to this: structured self-study phases, in-depth trainers, best-practice examples, practical exercises, discussions and sharing experiences in the learning community.
Tool
Recommended for
This training course is suitable for anyone who wants to develop a future-oriented data mindset and learn how to create real added value through data. You will learn how to design PoCs for data and AI projects, evaluate their feasibility, and confidently act as an interface between business and IT.
- Project managers in data projects
- process managers
- Specialists from controlling, HR, finance, and other departments who finally want to move beyond Excel spreadsheets
- IT specialists and individuals who are proficient in a scripting language
- Individuals with little prior experience with data but who are highly motivated to work in a data-driven manner
Start dates and details