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.
Target group
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.
Learning object
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
Standard
Contact and consultation
E-Mail:
Tel: +49 (0) 30 6800 9503
Training formats
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.
Browser-based
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.
Modules
Module 1
Data Strategy
Data-driven decision making and analytics
Adding value with data
Data strategy implementation
Module 2
Data Management
Aspects of data quality
Job roles and profiles
Organizing data teams
Module 3
Data Thinking
Data Thinking for successful data strategies & products
Data-driven business models & processes
Canvas tools for interdisciplinary teams
Unsere Experten
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.
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Inger Paus
Geschäftsführerin des Vodafone Instituts und Vorsitzende der Geschäftsführung der Vodafone Stiftung Deutschland
Datenethik
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Matthias Braendle
Head of Data Strategy and Product Owner Analytics Neashore
Entwicklung von Datenprodukten
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Caroline Kleist
Leiterin Data Science
Umsetzen einer Datenstrategie
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Benny Kneissl
Head of AI Building Blocks / Data Science
Organisation von Data Science im Unternehmen
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Alexander Czernay
Head of Data Science
Rolle von Daten im Marketing
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Florian Wilken
Head of Analytical Models & Foresight
Kommunikation zwischen Führungskräften und Datenexperten
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Phillipp Osswald
Manager People & Learning
Zusammensetzung von Datenteams
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Clemens Beer
Talent Manager
Aufbau von Datenexpertise im Unternehmen
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Philipp Egli
Product Owner Datenstrategie
Diagnose schlechter Datenqualität
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Patrick Walch
Lead Data Scientist
Die Rolle der Datenqualität
Starting dates
Curriculum
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.
Certification
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.
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Alexander Groß
Data Analyst at AIC Portaltechnik
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!
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Lutz Schneider
Strategic buyer at Axel Springer SE
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.
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Jaroslaw Wojciech Sulak
Specialist for data analysis at IAV GmbH
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.
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Jenny Lindenau
Head of Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH
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.
Other Trainings
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Python Programming
Many office work processes can be automated as part of the digitalization process, reducing employees' workloads and increasing productivity at the same time.
Data Analyst in Python
A practical, hands-on training that will teach you how to analyse and visualise data, and perform basic statistical operations on data with Python.