Delivered either online or on-site, these instructor-led live Python skope-rules training courses provide interactive, hands-on practice to demonstrate how skope-rules can be utilized to automatically generate rules from existing data sets.
Python skope-rules training is available in two formats: "online live training" or "onsite live training". Online live training, also referred to as "remote live training", is conducted through an interactive remote desktop session. Onsite live training can be provided locally at your customer premises in Athens or at NobleProg corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This course in Athens teaches efficient data handling in Python using the Pandas and NumPy libraries. Participants will master the fundamentals of analysis, code optimisation, and the automation of reports and charts in Excel, while integrating diverse data sources into a seamless analytical process.
This instructor-led live training, hosted in Luxembourg, targets engineers, technicians, and automation professionals at beginner to intermediate levels who intend to use Python to tackle technical issues, automate repetitive processes, and manage industrial data.
By the end of this course, participants will be able to:
Write clear and organized Python scripts for technical scenarios
Apply programming logic to engineering-focused challenges
Leverage Python to process data from CSVs, logs, and text files
Automate routine engineering and automation processes
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