The basics of working with data
In an increasingly digital world, an understanding of data is becoming more and more essential. StackFuel’s online part-time Data Awareness course provides you all the basics you need when it comes to topics such as Big Data, Artificial Intelligence and the Internet of Things (IoT). Here you will get to know the latest data technologies, practice professional communication with data experts and, after once you have completed the course you will be able to independently evaluate data analyses and assess data visualizations. We use real business scenarios to provide you with practical and effective training so that you can put the knowledge you have gained to use right from the start.
The Data Awareness course is particularly suited to professionals who understand the value of data in work processes and who want to collect and process data to optimize their own way of working and increase profits for their company. The Data Awareness course therefore lays the foundation for working with data as well as modern data technologies. No previous knowledge is required for the Data Awareness course.
The goal of the Data Awareness course is a thorough overview of current data technologies. We provide a basic understanding of the entire data analysis process and complex data models, enabling participants to communicate professionally with data experts. You will also learn how to evaluate data analyses and projects in their own subject domain as well as how to evaluate data visualizations.
Conditions for participation
No previous knowledge is required for the Data Awareness course.
Contact and consultation
Tel: +49 (0) 30 6800 9503
A wide range of exercises allow you to put what you have learned in the other lessons to the test, and consolidate this knowledge.
In informative video lessons, our course instructors explain the relevant principles clearly using visual aids.
Interviews with experts
You will gain valuable insights into various data experts’ day-to-day work, which you can then use as a foundation for working together productively with data teams.
Informative texts containing helpful graphics allow you to acquire the relevant knowledge at your own pace.
A New Mindset: Data-driven Thinking
What does it mean to apply a data-driven thinking and decision-making approach?
How can questions concerning data sets be formulated and solved using data analytics?
What needs to be taken into account when handling data (e.g. correlation and causality)?
How should data be presented, communicated and interpreted?
To what extent do data trends influence businesses and their departments?
Data at Work: Basic Data Analytics
Which data types exist?
Which forms of data analytics exist?
How is data processing structured?
Which technologies are relevant for the analysis of big data?
How important are statistics in data analytics?
Which applications have what relevance? (e.g. Python, R, Excel, Tableau)?
How are data analyses coordinated and implemented within the organization?
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.
Entry into the topics of data strategy, data management and data thinking to identify the entrepreneurial potential of data.
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.