Data Literacy
Implementing data projects according to plan

Hochschule Niederrhein. Your way.
About the certificate course

According to the Harvard Business Review, data science is "The sexiest job of the 21st century". What exactly does data science mean, what tasks do data scientists have and to what extent 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?
The analysis and optimization of a company through the use of data to ensure its future viability is crucial from a business management perspective in many industries today and important in order to maintain a sustainable competitive edge.
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. We also teach how visualizations and data storytelling support the communication of findings to decision-makers.

Course objectives

Upon successful completion of the course, you will be able to

  • Handle data in a planned way on a theoretical and practical level.
  • Collect, explore, manage, curate, analyze, visualize, interpret and evaluate data.
  • Consciously use and question data in the respective context.
  • Be able to decide on the application of data science methods in the corporate context according to the situation.
  • Distinguish and apply common methods and tools in the context of data analysis.
Advantages
  • You will gain knowledge and skills with regard to current scientific findings and methods.
  • Practical relevance and professional applicability of the content taught.
  • You benefit from individual support and intensive exchange in small groups.
Target group

The certificate course is aimed at decision-makers, managers, project managers and IT experts in data science projects across all industries and sectors,...


...who have to make situational decisions about the application of data science methods in the corporate context.
...who want to understand the use of data science technologies.
...who are involved in the implementation of the digitalization of business models and in particular data science projects or would like to lead them in a targeted manner.

 

Form of teaching and learning

The interactive seminar-style course offers the opportunity to address individual questions and problems posed by participants. Exercises are offered for each knowledge block. Accompanied by e-activities in Moodle. The project assignment with presentation of results enables direct practical transfer.

  • Three online attendance dates: Thu, 26.09.2024 I Thu, 10.10.2024 I Thu, 07.11.2024 I 9 a.m. - 5 p.m.
    There are online-supported self-study phases between the attendance days.
  • Application deadline: 09.09.2024
  • Number of participants: max. 12 persons
  • Location: Online format, Zoom conferences
  • Course language: The course will be held in German.

 

 

  • Participation fee: 990 € | alumni (5% discount) 940 €
  • Participation requirements: University degree with one year of professional experience or vocational training and at least three years of professional experience
  • Scope (workload): 75 h, of which attendance 24 h, 3 ECTS
  • Degree: University certificate / certificate of attendance
    Participants receive a certificate of attendance if at least 75% of the course is attended. A certificate from The Hochschule Niederrhein is awarded upon passing the examination.

Three questions for your university teacher / lecturer Thomas Neifer:

Why is continuing education in "Data Literacy" currently of interest to many professionals?
"As a driver of the fourth industrial revolution, data is increasingly becoming the central factor for value creation in companies. In some cases, this is having a disruptive effect on both business models and job profiles. In order to be able to use data effectively, data skills are therefore required in almost all areas of the company, albeit with varying degrees of granularity. Data literacy should create the prerequisites for a fundamental understanding of data. "

What are you particularly looking forward to with this university certificate course?
"We are looking forward to developing the participants of this course in terms of their data skills."

And what can participants look forward to?
"After a basic introduction to working with data, participants can look forward to interesting case studies from practical applications. As part of the respective case studies, participants will be able to apply the data skills they have learned during the course with a practical emphasis / orientation."

Your contact person:

Ulrike Schoppmeyer
Center for continuing education Marketing | Sales