This course provides you with theoretical and practical knowledge from key business fields. You’ll apply and deepen your understanding of the technical terminology and professional communication skills required in a professional setting in a practical way. You will then learn about data analysis and data visualization, as well as the use of artificial intelligence in your professional environment.
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Certificates: Goethe-Test PRO" certificate
Data Analytics" certificate -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Goethe-Test PRO -
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 and technical sector
Professional Communication in the Workplace (approx. 1 day)
Communication in Typical Professional Situations
Using job-related technical terms in a work context
Understanding job-related texts, work instructions, and company information
Understanding Conversations and Meetings in a Professional Context
Business Correspondence (approx. 2 days)
Layout and Design of Business Letters
Modern salutations and opening lines
Writing Customer-Focused Letters and Emails
AI-powered writing assistance for emails and letters
Reporting in the Workplace
Creating Cover Letters in Accordance with DIN 5008
Artificial Intelligence (AI) in Professional Communication (approx. 1 day)
Overview of AI Tools in the Professional Workplace
Using AI to Support Professional Correspondence
Creating and Optimizing Professional Texts with AI
Opportunities and Limitations of AI in Everyday Work
Professional field of communication management (approx. 3 days)
Communication in the company
Forms of communication in teams
Meetings and presentations
Conflict management
Conducting appraisal interviews
Conducting job interviews
Sales and consultation meetings
Writing offers
Trade fairs and product presentations
Processing complaints
Business Field (approx. 6 days)
Fundamentals of Human Resources, Management, and Labor Law
Fundamentals of Finance and Controlling
Structure and Content of Payroll Processing
Understanding and Interpreting Operational Analyses, Charts, and Statistics
Professional field of marketing (approx. 6 days)
Basics of advertising
Market analysis and market research
Online marketing and e-commerce
Marketing communication
Use of AI in the creation of marketing texts
Business Processes (approx. 7 days)
Restructuring and Process Management
Process Changes Within the Company
Digital Transformation
Energy Management and
Environmental Protection in the Company
Project Management
Occupational field logistics and trade (approx. 8 days)
Production and
Purchasing and procurement
Delivery and transportation
Retail trade
Project work, certification preparation and certification exam "Goethe-Test PRO" (approx. 6 days)
Data analytics
Introduction to Data Analytics (approx. 1 day)
Tasks, Areas of Application, and Typical Use Cases of Data Analytics
Data Analytics Processes and CRISP-DM
The Role of the Data Analyst and How It Differs from Data Science, Data Engineering, and Business Intelligence
Classification of Artificial Intelligence and Machine Learning
Python for Data Analytics (approx. 1 day)
Working with Jupyter Notebooks
NumPy and Pandas for Data Analysis
Importing and Exporting Data from Various Sources, e.g., Excel and CSV
Selecting and transforming data
Data Preparation and Exploratory Data Analysis (approx. 3 days)
Data cleaning and transformation with Pandas
Handling missing, incorrect, and outlier data
Merging, grouping, and aggregating data
Exploratory data analysis and deriving initial insights
Fundamentals of statistical analysis
SQL and Data Management (approx. 2 days)
Relational Databases and Data Models
Data Queries and Processing with SQL
Joins, aggregations, and analytical queries
Interaction Between SQL and Python in Data Analysis
Data Quality and Data Protection
Connecting to and Using Different Data Sources and Database Systems
Data Visualization and Data Storytelling (approx. 2 days)
Visualization with Matplotlib, Seaborn, and Plotly
Selecting Appropriate Charts and Visualization Methods
Preparing and interpreting analysis results
Data Storytelling and Communication Tailored to the Audience
Power BI and Interactive Dashboards (approx. 2 days)
Data Import and Preparation with Power Query
Data modeling and relationships
Basics of DAX and metrics
Creating interactive reports and dashboards
Visualization and Communication of Business KPIs
Overview of Alternative Business Intelligence and Visualization Solutions
AI-powered data analysis (approx. 2 days)
Use of generative AI in the data analytics workflow
AI-powered data preparation, analysis, and visualization
Support with Python and SQL queries
Prompting for data analysis and interpretation of results
Critical evaluation of data sources and detection of synthetic and implausible data
Quality assurance, data protection, and responsible use of AI
Business Analytics and Statistical Fundamentals (approx. 2 days)
Key Metrics and KPIs in a Business Context
Descriptive Statistics and Statistical Relationships
Correlation, Causality, and Simple Regression Analyses
Fundamentals of confidence intervals and hypothesis testing
Interpreting Analysis Results and Deriving Data-Driven Recommendations
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.
In addition, you can process and analyze data using Python and SQL, create meaningful visualizations and interactive dashboards with Power BI, and interpret and communicate analysis results in a way that is tailored to your audience. You can use generative AI specifically to support data analysis.
This course is designed for individuals with a business, technical, or IT background who want to analyze and visualize data and use it to make data-driven decisions.
The course is also aimed at international professionals with a business or technical background who wish to improve their technical and job-related communication skills in order to enter the German job market.
Data-driven decision-making is playing an increasingly important role in companies and organizations. Consequently, there is a need for professionals who can process, analyze, and clearly visualize data from various sources. Knowledge of Python, SQL, and business intelligence opens up career opportunities in the field of data analytics as well as in data-driven functional and business areas.
In addition, the course provides you with job-specific German language training so you can draft business correspondence in accordance with current guidelines and communicate confidently with both internal and external stakeholders. With the “ alfatraining ” certificate, you can demonstrate the professional skills you’ve acquired, making it easier for you to enter the workforce and advance in your career.
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).