Data Analyst (IHK) (Englisch) Zertifikatslehrgang als live Online-Weiterbildung
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.
Veranstaltungsdetails
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, and improve their career prospects through innovation.
Scope and contents
- 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.
Who is it for?
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.
Dates
Usually from 1:00 PM to 4:00 PM, unless otherwise noted
Monday, September 2nd, 2024 – Technology check (11:00 AM to 12:00 PM)
Tuesday, September 3rd, 2024
Tuesday, September 9th, 2024
Tuesday, September 17th, 2024
Tuesday, September 24th, 2024
Tuesday, October 1st, 2024
Tuesday, October 8th, 2024
Tuesday, October 15th, 2024
Tuesday, October 22nd, 2024
Tuesday, October 29th, 2024
Tuesday, November 5th, 2024
Tuesday, November 12th, 2024
Tuesday, November 19th, 2024
Tuesday, November 26th, 2024
Tuesday, December 3rd, 2024
Tuesday, December, 17th, 2024 – IHK certificate test (9:00 AM to 6:00 PM)
You can find more information about this course on our Landing Page.. Please note that this is in German.
Note
This digital course is run in cooperation with the DIHK-Bildungs-GmbH. If you choose to participate, we will forward your e-mail to the DIHK-Bildungs-GmbH. The meetings are not recorded. A few days before course begin, you will receive an e-mail from the DIHK-Bildungs-GmbH with the necessary information for this course.
Scope and contents
- 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.
Who is it for?
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.
Dates
Usually from 1:00 PM to 4:00 PM, unless otherwise noted
Monday, September 2nd, 2024 – Technology check (11:00 AM to 12:00 PM)
Tuesday, September 3rd, 2024
Tuesday, September 9th, 2024
Tuesday, September 17th, 2024
Tuesday, September 24th, 2024
Tuesday, October 1st, 2024
Tuesday, October 8th, 2024
Tuesday, October 15th, 2024
Tuesday, October 22nd, 2024
Tuesday, October 29th, 2024
Tuesday, November 5th, 2024
Tuesday, November 12th, 2024
Tuesday, November 19th, 2024
Tuesday, November 26th, 2024
Tuesday, December 3rd, 2024
Tuesday, December, 17th, 2024 – IHK certificate test (9:00 AM to 6:00 PM)
You can find more information about this course on our Landing Page.. Please note that this is in German.
Note
This digital course is run in cooperation with the DIHK-Bildungs-GmbH. If you choose to participate, we will forward your e-mail to the DIHK-Bildungs-GmbH. The meetings are not recorded. A few days before course begin, you will receive an e-mail from the DIHK-Bildungs-GmbH with the necessary information for this course.