Data Driven Management
Working with data and making data-driven decisions
Companies are facing major challenges due to digitalization and big data. and managers in particular have the task of ensuring success in the future. To achieve this, they have to make data-based decisions on one hand and ensure that their employees work in a data-driven way on the other. In this course, you will acquire the basics you need to implement data strategies and build up the necessary structures and key competencies in your company for a successful digital transformation.
This course is aimed at managers, project leaders, team leaders and people with leadership responsibilities who want to use data to generate added value for their company in the future. No special mathematical skills or programming experience are required to complete the course and benefit from it.
The learning objective is to gain the skills needed to understand the added value of data-driven decisions as well as how to plan for them and then be able to put them into practice. You will learn and consolidate the theoretical principles of topics such as data strategy, data management and data thinking in a practical way, specifically designed for decision-makers and managers.
Conditions for participation
No previous knowledge is required for the Data Driven Management course.
Next start dates
Contact and consultation
Tel: +49 (0) 30 6800 9503
Hands-on learning environment
Participants learn using current technologies and the latest Python libraries.
Advanced technology stack
Our trainings make use of real data sets as well as industry business cases to create hands-on Learning scenarios.
Participants have access to all the computing power they need to complete the course.
Innovative Data Lab
The course takes place in your browser, you don’t need to install any special software.
Data-driven decision making and analytics
Adding value with data
Data strategy implementation
Aspects of data quality
Job roles and profiles
Organizing data teams
Data Thinking for successful data strategies & products
Data-driven business models & processes
Canvas tools for interdisciplinary teams
Im Rahmen des Data Driven Management Trainings haben wir mit führenden Experten im Bereich Data Science zusammengearbeitet. Die Ergebnisse flossen in Form von Interview in das Training mit ein.
Geschäftsführerin des Vodafone Instituts und Vorsitzende der Geschäftsführung der Vodafone Stiftung Deutschland
Head of Data Strategy and Product Owner Analytics Neashore
Entwicklung von Datenprodukten
Leiterin Data Science
Umsetzen einer Datenstrategie
Head of AI Building Blocks / Data Science
Organisation von Data Science im Unternehmen
Head of Data Science
Rolle von Daten im Marketing
Head of Analytical Models & Foresight
Kommunikation zwischen Führungskräften und Datenexperten
Manager People & Learning
Zusammensetzung von Datenteams
Aufbau von Datenexpertise im Unternehmen
Product Owner Datenstrategie
Diagnose schlechter Datenqualität
Lead Data Scientist
Die Rolle der Datenqualität
Request the course curriculum for more detail about the course material!
Flexible course formats
StackFuel has developed various training formats to meet the diverse requirements of a modern working environment. Our regular part-time courses are designed specifically with company employees in mind, and combine professional development and in-depth skill development with day-to-day work. Our FastTrack courses are tailored specifically toward our participants and customers who would like to take part in our courses more quickly on a part-time or full-time basis. The time spent on our courses each week as part of our FastTrack formats is therefore more concentrated, and you will ready for the job role of Data Analyst or Data Scientist more quickly.
StackFuel's specialist courses follow a practical approach that trains employees for the job roles of the future and gives them the necessary skills to create real added value from data. This is also reflected in the final project that the participants carry out and which our mentoring team, made up of educational data scientists, analyzes and evaluates. Participants receive a certificate based on an independent final project at the end of the course, which they can use in various social networks as well as privately, as proof of their newly acquired knowledge and skills. Our specialist Data Analyst (73598) Data Scientist (73597) courses are ZFU* tested and certified. *The ZFU checks whether a course meets the requirements of the German Distance Learning Protection Act (Fernunterrichtschutzgesetz) and whether courses are suitable for distance learning in terms of their subject matter and didactics.
The Data Lab really offers added value, you notice instantly how the practical exercises are relevant to your work. The tasks were always clearly described and presented. So I always knew what to do. The course itself was a great experience!
The greatest added value for me was the courses practical relevance. Thanks to StackFuel, I can quickly put what I have learned into practice and adapt it for myself. This is the real learning success behind the online course.
The online StackFuel course content was very hands on. There were a great deal of good examples and projects. I found it very interesting and instructive. My professional life has changed significantly since completing the course: Im now a data analysis specialist in my department.
The user-friendly and flexible Python Programming course has entirely changed my view on complex data structures. Thanks to the sustainable and well-designed learning approach, and the seamless use of learning content in the coding environment, I can now apply my new skills in my daily work of testing automation and process data more easily and efficiently.
A seminar that covers the basics of data analytics to gain an understanding of data-driven work and decision-making and to synchronise team work.
Many office work processes can be automated as part of the digitalization process, reducing employees' workloads and increasing productivity at the same time.
A practical, hands-on training that will teach you how to analyse and visualise data, and perform basic statistical operations on data with Python.