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Certificates: Certificate "Big Data Specialist"
TOEIC® certificate (Test of English for International Communication) -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
TOEIC®-Test (Test of English for International Communication) -
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: 8 Weeks
Big Data Specialist
What is Big Data? (approx. 1 day)
Volume, Velocity, Variety, Value, Veracity
Opportunities and risks of large amounts of data
Differentiation: business intelligence, data analytics, data science
Introduction to data mining
Role of AI and data-driven systems in the big data environment
Introduction to big data frameworks (approx. 2 days)
Big data solutions in the cloud (overview of AWS, Azure, GCP)
Data access patterns
Data storage
Introduction to data lakes and data warehouses
Overview of Apache Hadoop and Spark
Distributed data processing with Spark (approx. 3 days)
Basics of distributed systems
Apache Spark (Core and SQL)
Comparison of different approaches to data processing
Processing large amounts of data
Introduction to simple ML workflows with Spark
Data pipelines and data integration (approx. 2 days)
ETL and ELT processes
Batch vs. streaming processing
Basics of data pipelines
Introduction to orchestration (e.g. Airflow overview)
Data quality and preparation
Components (approx. 2 days)
Brief presentation of various tools
Data transfer
Overview of resource management in big data systems
Hadoop ecosystem
Apache Spark deepening
Introduction to streaming technologies
NoSQL and data storage (approx. 2 days)
CAP theorem
ACID and BASE
Types of databases
HBase
Introduction to document-oriented databases
Introduction to storage formats
Overview of data lakehouse approaches
Big Data Visualization (approx. 2 days)
Theories of visualization
Diagram selection
New types of diagrams
Tools for data visualization
Introduction to BI tools (e.g. Power BI, Tableau)
Basics of data-driven decision making
Data governance and data protection (approx. 1 day)
Basics of the GDPR in the data context
Data ethics and responsible handling of data
Data quality and governance concepts
Access controls and security
Fundamentals of responsible AI use
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Business English
Basics of professional English communication (approx. 4 days)
Basic structures of the English language in a professional context
Tenses (simple, continuous, perfect)
Formulation of questions
Active/passive voice
Adjective/adverb
Modal verbs
Conditional
Differences between British and American English in everyday working life
Important idioms in professional language
Presenting in English
Communicative part (approx. 5 days)
Establishing and maintaining customer contacts, telephone calls, correspondence
Artificial intelligence for formulating and optimizing English business communication
Greetings and introductions during business visits
Dealing with complaints
Describing products
Writing letters and emails with common phrases on topics such as orders or quotations
Describing company structures in English
Business English (approx. 6 days)
Writing business correspondence
AI support for English-language emails and letters
Arguing convincingly in a professional context
Explaining company structure, marketing and sales in English
Reporting on market analyses, discussing financial trends
AI for analyzing and preparing information
Communication on business trips: Reception, hotel, restaurant
Appearance in meetings
Describing processes and procedures
Conducting negotiations and reaching agreements
Developing and communicating plans and projects
Preparing presentations
AI tools for structuring and optimizing the language of presentations
English-language job descriptions
Anglo-Saxon application process
Writing a CV in English
Interview: confident presentation of experience and qualifications
Project work, certification preparation and TOEIC® certification exam (approx. 5 days)
Changes are possible, the course content is updated regularly.
After the course, you will be able to process large, unstructured amounts of data with the help of tools and cloud technologies. You will have knowledge of current big data frameworks, be able to analyse data, classify AI-supported processes and visualize results in an appealing way.
You will also improve your English skills for typical communication situations in everyday international working life and take the internationally recognized TOEIC® test to prove your acquired knowledge.
The course is aimed at people with a degree in computer science, business informatics, mathematics or a comparable qualification.
As companies have to manage and structure ever-increasing volumes of data to evaluate and set objectives for their business processes, data processing skills are in demand in all sectors.
With the meaningful TOEIC® test, you also provide a detailed insight into your acquired qualifications in the language environment and thus facilitate your career entry and advancement.
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).