Data Engineer with job-related German language support

Free of cost

by funding

The course first teaches the theoretical content from the most common economic fields, including job-related German language support. You will then learn how to structure and provide individually relevant data and how to use artificial intelligence in your professional environment.
  • Certificates: Certificate "Vocational German language support for the commercial/technical sector"
    Data Engineer" certificate
  • Examination: Practical project work with final presentations
    Certification exam for vocational German language support
  • Teaching Times: Full-time
    Monday 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.)
  • Language of Instruction: German
  • 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 Engineer

Basics of Business Intelligence (approx. 2 days)

Fields of application, dimensions of a BI architecture

Basics of business intelligence, OLAP, OLTP, tasks of data engineers

Data Warehousing (DWH): handling and processing of structured, semi-structured and unstructured data


Requirements management (approx. 2 days)

Tasks, objectives and procedures in requirements analysis

Data modeling, introduction/modeling with ERM

Introduction/modeling in UML

- Class diagrams

- Use case analysis

- Activity diagrams


Artificial intelligence (AI) in the work process

Presentation of specific AI technologies

and possible applications in the professional environment


Databases (approx. 3 days)

Basics of database systems

Architecture of database management systems

Application of RDBMS

Implementation of data model in RDBMS, normal forms

Practical and theoretical introduction to SQL

Limits of relational databases, csv, json


Data Warehouse (approx. 4 days)

Star Schema

Data modeling

Creation of Star Schema in RDBMS

Snowflake Schema, basics, data modeling

Creation of Snowflake Schema in RDBMS

Galaxy Schema: Basics, data modeling

Slowly Changing Dimension Tables Type 1 to 5 - Restating, Stacking, Reorganizing, mini Dimension and Type 5

Introduction to normal, causal, mini and monster, heterogeneous and sub dimensions

Comparison of state and transaction oriented

Fact tables, density and storage from DWH


ETL (approx. 4 days)

Data Cleansing

- Null Values

- Preparation of data

- Harmonization of data

- Application of regular expressions

Data Understanding

- Data validation

- Statistical data analysis

Data protection, data security

Practical structure of ETL routes

Data Vault 2.0, basics, hubs, links, satellites, hash key, hash diff.

Data Vault data modeling

Practical structure of a Data Vault model - Raw Vault, practical implementation of hash procedures


Project work (approx. 5 days)

To consolidate the content learned

Presentation of the project results



Changes are possible. The course content is updated regularly.

Prerequisites for participation in the course are general knowledge of German (B1) as well as programming skills and experience with databases.

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.

You are also proficient in processes relating to the consolidation, preparation, enrichment and forwarding of data.

The course is aimed at people with a degree in computer science, business informatics, mathematics or a comparable qualification.

The course is also aimed at specialists from the commercial and technical fields, taking into account an integrative component.

As companies need to manage and structure ever-increasing volumes of data to evaluate and target their business processes, skills in data development and construction are in demand in all industries.

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).

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.
Contact
We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.