Delivered as live, instructor-led courses either online or onsite, these Python skope-rules training programs use interactive, hands-on exercises to demonstrate how to utilize skope-rules for automatically generating rules from existing data sets.
The Python skope-rules curriculum is available in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is facilitated through an interactive remote desktop. Onsite live training is conducted locally at customer premises in Bangkok or at NobleProg corporate training centers in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This Bangkok training focuses on effective data handling in Python using Pandas and NumPy. Participants will learn the basics of analysis, code optimisation, and the automation of reports and charts in Excel, integrating various data sources into a cohesive analytical process.
This instructor-led live training in Luxembourg is tailored for engineers, technicians, and automation professionals at beginner to intermediate levels, focusing on applying Python to solve technical issues, automate recurring tasks, and handle industrial data.
By the conclusion of the training, participants will be proficient in:
Creating clear and organized Python scripts for technical scenarios
Applying programming logic to engineering-specific problems
Processing data from CSV, logs, and text files using Python
Automating repetitive workflows in engineering and automation
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