Data Analyst (IHK) - Online (English)

• Inhalte

  Data is the basis of digitalisation. In almost all sectors, there is a demand for specialists who can leverage this „capital“ and utilise it in a targeted manner to make work and business processes more efficient and innovative, and to further develop value creation.

  Data Analysts (IHK) can ...
  
  • analyse the potential of using data to optimise work and business processes in a practice-oriented way.
  • promote data-supported decisions, e.g. in production, marketing or logistics.
  • contribute to increasing competitiveness.
  • design and implement company-specific data projects.
  • improve their career prospects through innovation.

   

  Kick-off event

  Technology check, participants’ expectations and introduction to the course programme
  
  

  Basics of Data Analytics  – ETL Process

  Use tasks and function of data analytics, visual analytics tools, organise and document data processes
  
  

  Visual Analysis and Reporting – BI Tools

  Familiarise yourself with the tasks and functions of visual analyses and reporting, use BI tools safely, visualise content and data efficiently and comprehensibly
  
  

  Advanced Data Analytics – Databases, Machine Learning, Workflow Control

  Work confidently with databases, understand machine learning and its potential, develop data models for machine learning, apply methods for workflow control

  Data Projects - Evaluate, Plan, Implement

  Planning and communicating data projects, convey  project parameters and goals transparently, agile  methods for greater project efficiency

  Practical Training

  Apply data analytics in (your own) professional context, identify sources of information for further development and potential for improvement through data analytics and take steps to exploit this potential
  
  

  IHK certificate test (online)

  Short presentation of (your own) data analytics project including discussion and final talk (approx. 50 minutes in total). Small groups with several participants can be formed.

   
• Zielgruppe
  The course is aimed at specialists from all sectors who have a basic understanding of data and data processing.
  Programming knowledge is not required, but participants should have some basic experience in handling data,  e.g. in spreadsheet programs such as MS Excel.

  English language skills are required due to the course is conducted in English.

• Zulassungsvoraussetzungen

  Technical requirements

  • PC or laptop with current operating system, each with sound card/Sound output and connection for a headset
  • Headphones with microphone (headset), webcam
  • Internet access with at least 0.6 Mbps downstream and at least 1 Mbps upstream (can be called up in the router or under Settings/Network speed available)
  • Current version of an HTML5 browser (e.g. Chrome, Firefox)

  
  Supplementary notes

  The course contains exercises that are carried out with an analytics platform and a BI tool are carried out. For the use of both applications a

  download (free of charge) is required. A Microsoft environment is required for the BI tool. Mac users require the installation of a virtual environment.
  
  
  

  Participants can access the virtual classroom via link.
• Methodik

  Online-Kick-off event, five training modules and a final test with
  a total of 57 training hours as live online training 
  and approx. 26 training hours as a module-accompanied self-study programme.

  Please register for the course in good time. The number of participants is limited so that questions and discussions are possible and topics can be developed together.

• Final test
  At least 80% attendance of the course is aquired.
  
  

  For the final test, a project paper is prepared and submitted during the course.

  This project work should focus on a concept for the implementation of a data project - ideally from your own working environment.

  Small groups with several participants can be formed.
  
  

  The project work is presented in the form of a presentation and discussed in more detail in a technical discussion. The verbal presentation of the project work lasts around 45 minutes.

  
  

  Participants receive the IHK certificate "Data Analyst (IHK)" after completing the course and passing the project work including the technical discussion.