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Certificates: Certificate "Vocational German language support for the commercial/technical sector"
Data Analytics" certificate -
Examination: Practical project work with final presentations
Certification exam for vocational German language support -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 12 Weeks
Job-related German language support for the commercial/technical sector
General language skills (approx. 1 day)
Repetition of important grammar topics and application of complex linguistic structures of German grammar
Reading and understanding texts from different areas, global and selective reading comprehension
Improving listening comprehension
Correspondence in a professional environment (approx. 2 days)
Layout and letter design
Contemporary salutations and letter introductions
Customer-oriented letters and e-mails
Reporting
Cover letters according to DIN 5008
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Professional field of communication management (approx. 3 days)
Confident communication in the company
Forms of communication in teams
Meetings and presentations
Conflict management
Staff appraisals
Job interviews
Sales and consultation meetings
Writing offers
Trade fairs and product presentations
Complaints
Business career field (approx. 6 days)
Human resources, management and labor law
Finance and controlling
Payroll accounting
Professional field of marketing (approx. 6 days)
Advertising
Market analysis and market research
Online marketing and e-commerce
Company processes (approx. 9 days)
Restructuring, process management, process changes
Digital transformation
Changes in energy management and environmental protection
Project management
Occupational field logistics and trade (approx. 8 days)
production
Purchasing
Delivery and transportation
Retail trade
Project work, certification preparation and certification examination (approx. 5 days)
Data analytics
Introduction to data analysis (approx. 1 day)
CRISP-DM reference model
Data analytics workflows
Definition of artificial intelligence, machine learning, deep learning
Requirements and role in the company of data engineers, data scientists and data analysts
Review of Python basics (approx. 1 day)
data types
Functions
Data analysis (approx. 3 days)
Central Python modules in the context of data analytics (NumPy, Pandas)
Process of data preparation
Data mining algorithms in Python
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Data visualization (approx. 3 days)
Explorative data analysis
insights
Data quality
Benefit analysis
Visualization with Python: Matplotlib, Seaborn, Plotly Express
Data storytelling
Data management (approx. 2 days)
Big data architectures
Relational databases with SQL
Comparison of SQL and NoSQL databases
Business Intelligence
Data protection in the context of data analysis
Data analysis in a big data context (approx. 1 day)
MapReduce approach
Spark
NoSQL
Dashboards (approx. 3 days)
Library: Dash
Structure of dashboards - Dash components
Customizing dashboards
Callbacks
Text Mining (approx. 1 day)
Data preprocessing
Visualization
Library: SpaCy
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
The course provides you with the necessary know-how for employment as a commercial and technical specialist, including job-related German language training, in order to achieve successful integration into the German labor market.
Furthermore, you can analyse, visualize and manage data. You also understand the use of dashboards and text mining.
The course is aimed at people with a degree in computer science, business informatics, mathematics, business administration or comparable qualifications.
The course is also aimed at specialists from the commercial and technical fields, taking into account an integrative component.
As companies have to manage and structure ever-increasing volumes of data to evaluate and set objectives for their business processes, data analysis skills are in demand in all sectors.
The course also provides you with work-related German language training to enable you to write business correspondence in accordance with current regulations and to communicate confidently both internally and externally.
Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).