"The world is one big data problem".
Andrew McAfee, co-director of the MIT Initiative
"The world is one big data problem".
Andrew McAfee, co-director of the MIT Initiative
The volumes of stored data are growing rapidly worldwide. Both from social networks and from the environment of the "Internet of Things" with many data sources (including sensors), data is being collected that is mostly unstructured.
This initially increases the challenges for storing, managing and analyzing the data volumes. In the next step, attractive and value-adding areas of application are needed so that value can be generated through the use of the data. Only the right business model turns the data supply into a potential treasure:
For example, sales forecasts and predictions of production and sales figures can be derived from the analysis of data using suitable IT tools. Predictive maintenance is used to derive strategies for preventive maintenance. With these insights, decision-makers can better understand their customers and place products and services on the markets faster and more precisely.
The need for Chief Data Officers as specialists who are able to design such data-based business models and implement the necessary data science technologies is growing - just like the mountains of data themselves.
The ONLINE Certificate Program(CAS) "Chief Data Officer" provides you with the foundation courses and competencies to successfully design, implement and lead the digitization of business models. You will learn to use Data Science technologies in a targeted manner using state-of-the-art methods, processes and tools.
Upon successful completion of the certificate program, you will be able to:
The certificate program is aimed at decision-makers, executives and prospective executives, project managers and IT experts in data science projects, ...
The certificate program takes place in a combination of ONLINE presence and self-study units (blended learning). The self-study is accompanied by the online learning platform Moodle. The presence phases are held in an interactive seminar character, with impulse lectures and exercise elements alternating. The knowledge imparted is tested "hands-on" and there is the opportunity to work on individual questions and problems of the participants.
DATA SCIENCE MANAGEMENT
From business model to project
"The best way to learn data science is to do data science."
Chanin Nantasenamat
Data Science Management means the data-driven restructuring and implementation of corporate processes and new business models. Data Science is a must for many companies - it's not a question of "if?", but "how?". Business models based on Data Science technologies are disruptive. They change companies, markets and also information management in practical application. Concepts such as predictive intelligence are emerging alongside classic approaches from business intelligence. The IT strategy, which has so far been successively derived from the business strategy, thus becomes the "Digital Business Strategy" and must be transferred into precisely fitting projects.
In this certificate course, you will learn to classify current trends in digitization and data science in your own operational context. You will apply the methods and tools presented for the development of new processes and business models as well as for the management of Data Science projects directly to individual issues.
DATA SCIENCE POTENTIAL
Technologies for data-driven business models.
"You can have data without information, but you cannot have information without data."
Daniel Keys Moran
Digitalization is bringing with it rapid growth in data volumes from social networks or the "Internet of Things", for example. Data Science - that is the technologies and the special knowledge to generate added value from this inexhaustible potential. The strategic importance of Data Science is recognized by companies.
But what business model can be used to realize the potential of Data Science for process improvements and product or service innovations? And how can bad investments for the storage, management and analysis of data volumes be avoided in the unmanageable market of technical solutions?
The certificate course shows the potential of Data Science for companies and the current hurdles. Individual questions of the participants are discussed with the lecturer and professionally experienced peers.
DATA LITERACY
Implementing data projects according to plan
"There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days."
Eric Schmidt
Data Science is "The sexiest job of the 21st Century" according to Harvard Business Review. What exactly does Data Science mean, what are the tasks of Data Scientists and how is it relevant from a business perspective? How do data-driven business models influence industries and markets, and what opportunities do companies themselves have to use data profitably?
In many industries today, analyzing and optimizing a company by using data to ensure its future viability is crucial from a business management point of view and important in order to sustainably hold one's own against the competition.
In this certificate course, we look at the most important methods and tools for data processing and analysis. The economic relevance and value creation through data and data analysis are crucial. In addition, we teach how visualizations and data storytelling support the communication of insights to decision-makers.
DIGITAL LEADERSHIP
Leading in the Digital Age
"The only sustainable advantage you can have over others is agility, that's it."
Jeff Bezos
The introduction to Data Science and new digital business models requires the ability to innovate and change both the employees involved and the entire organization: agile and flexible working is required. At the same time, the values and expectations of young, highly qualified employees, also known as "digital natives" or "Generation Y," are changing. They demand exciting work, modern IT systems, a friendly team and working from home.
Managers and junior managers must be prepared for these disruptive changes in good time. They will only be able to be successful if they use a new kind of leadership style called "Digital Leadership".
In this certificate course, you will learn what requirements are placed on (future) managers during the introduction to data science and digitization projects and which methods and tools are best used to achieve digital leadership.
Detailed information can be found in the brochure and in the module description in the download area.
11 ONLINE presence days - on request at weiterbildung(at)hs-niederrhein.de
There are online-supported self-study phases between the ONLINE attendance days.
We asked your lecturers:
Why is continuing education on the topic of digitization of business models and data science technologies currently of interest to many professionals?
"A large amount of mass data is generated every day in both the private and professional spheres. Their processing and analysis can lead not only to significant process and decision-making improvements in all functional areas of a company, but also to new data-driven business models. The coverage of all areas of work and life with data, among other things, in the context of increasing digitalization will continue to grow. Knowledge in the field of "Data Science" is therefore particularly significant for many professionals.
The certificate program provides you with a sound and comprehensive insight into the "world of Data Science". It enables you to get the view for the different facets of the use of Data Science technologies and to build up the competences necessary for a successful implementation."
You can find the vitae of your team of lecturers in the download area.
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