Μαριάννα Καφραμάνη
Junior Project Manager Τμήμα Εκπαίδευσης -Αθήνα-
+30 210 6419040 m.kaframani@ahk.com.gr
Online certificate course “Data Analyst (AHK)”
Data is the fuel for digitalising the economy. However, companies can only gain momentum when they have their own specialists who
• can structure and analyse existing production, customer and/or market data,
• have suitable methods for collecting the additional data required, and generally
• can tap into the great potential of data-supported analyses and processes for value creation.
The online certificate course qualifies data-savvy specialists from any industry to implement these analyses and the resulting data projects in their company: Companies who want to stay ahead of the competition today have to understand the data and use it correctly.
Scope and contents
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.
1. Kick-off event
Technology check, participants’ expectations and introduction to the course programme
2. Basics of Data Analytics – ETL Process
Use tasks and function of data analytics, visual analytics tools, organise and document data processes
3. 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
4. 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
5. Data Projects - Evaluate, Plan, Implement
Planning and communicating data projects, convey project parameters and goals transparently, agile methods for greater project efficiency
6. 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
7. Certificate test
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
Benefits for participants and companies
Data Analysts 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
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.
Participation fee
Varies depending on the membership category of the German-Hellenic Chamber of Industry and Commerce:
Certification
At the end of the course, after passing the certificate exam, participants receive a nationally recognized certificate from the German-Hellenic Chamber of Industry and Commerce incl. digital badge for social media profiles, email signature, etc.
Technology
The participants need:
- PC or laptop with up-to-date 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 verified in the router or under Settings/Network Speed)
- Up-to-date version of an HTML5 browser (e.g. Chrome, Firefox)
- The course includes exercises that are carried out with an analytics platform and a BI tool. A download (free of charge) is required to use both applications. A Microsoft environment is required for the BI tool. Mac users need to install a virtual environment
Participants can access the virtual classroom via a link.
Επικοινωνία
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