Through interactive, hands-on practice, both online and onsite instructor-led Python skope-rules training courses demonstrate how to use skope-rules to automatically generate rules based on existing data sets.
Python skope-rules training is available as either "online live training" or "onsite live training." Online live training (also referred to as "remote live training") is conducted via an interactive remote desktop. Onsite live training can be delivered locally at the customer’s premises in Sofia or at NobleProg corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
The training has been designed for individuals who want to effectively work with data using Python, leveraging libraries such as Pandas, NumPy, and tools for integration with Excel. Participants will learn both the basics of data manipulation and advanced techniques for code optimization, processing large datasets, and creating compelling reports and visualizations.
Throughout the course, participants will step-by-step learn:
how to import, process, and analyze data using Pandas and NumPy, optimize Python code performance, automate report and chart generation in Excel, and integrate various data sources into a cohesive analytical process.
This instructor-led, live training in Luxembourg is aimed at beginner to intermediate-level engineers, technicians, and automation professionals who wish to use Python to solve technical problems, automate repetitive tasks, and process industrial data.
By the end of this training, participants will be able to:
Write clear and structured Python scripts for technical use cases
Apply programming logic to engineering-oriented problems
Use Python to process data from CSV, logs, and text files
Automate repetitive engineering and automation workflows
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