Delivered either online or onsite, our instructor-led live Pandas training courses focus on interactive, hands-on practice. These sessions are designed to demonstrate how to effectively utilize Pandas for data analysis, predictive insights, and machine learning applications.
We offer Pandas training in two modes: "online live training" or "onsite live training." Online live training (also referred to as "remote live training") is conducted via an interactive remote desktop. Alternatively, onsite live training can be provided directly at your customer premises in Bangkok or at NobleProg’s dedicated corporate training centers in Bangkok.
Pandas is widely recognized as Python Pandas.
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 instructor-led, live training in Bangkok (available online or onsite) targets intermediate Python developers and data analysts seeking to elevate their proficiency in data analysis and manipulation through Pandas and NumPy.
Upon completion of this training, participants will have the ability to:
Configure a development environment that integrates Python, Pandas, and NumPy.
Build data analysis applications utilizing Pandas and NumPy.
Carry out advanced data wrangling, sorting, and filtering processes.
Execute aggregate operations and analyze time-series datasets.
Create data visualizations using Matplotlib and additional visualization libraries.
Debug and refine data analysis code for optimal performance.
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Testimonials (1)
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
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