Delivered either online or onsite, our instructor-led live Data Science courses provide hands-on experience in extracting meaningful knowledge from data across various formats.
Data Science training can be accessed through either "online live training" or "onsite live training." Online live training, also known as "remote live training," is facilitated through an interactive remote desktop environment. Alternatively, onsite live training is conducted locally at customer premises in Bangkok or within NobleProg's 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 live, instructor-led training, conducted in Bangkok (either online or on-site), is designed for entry-level professionals aiming to comprehend pre-trained models and apply them to practical real-world issues, without the necessity of building models from scratch.
By the conclusion of this training, participants will be capable of:
Understanding the core concepts and benefits associated with pre-trained models.
Exploring different architectural frameworks and their practical applications.
Fine-tuning pre-trained models to suit specific operational needs.
Implementing pre-trained models within basic machine learning initiatives.
This instructor-led, live training in Bangkok (available online or onsite) is designed for intermediate-level data scientists and analysts seeking to optimize their data science workflows using AWS Cloud9.
By the end of this training, participants will be able to:
Establish a complete data science environment within AWS Cloud9.
Execute data analysis using Python, R, and Jupyter Notebooks in the Cloud9 workspace.
Integrate AWS Cloud9 with essential AWS data services such as S3, RDS, and Redshift.
Utilize AWS Cloud9 for both the development and deployment of machine learning models.
Refine cloud-based workflows to enhance data analysis and processing efficiency.
This live, instructor-led training in Bangkok (online or onsite) is tailored for intermediate professionals looking to automate and manage machine learning workflows, encompassing model training, validation, and deployment through Apache Airflow.
By the end of this program, participants will be able to:
Establish Apache Airflow for the orchestration of machine learning workflows.
Automate critical tasks such as data preprocessing, model training, and validation.
Integrate Airflow with various machine learning frameworks and tools.
This guided, live session in Bangkok—delivered online or on-site—targets beginner-level data scientists and IT professionals eager to master the fundamentals of data science via Google Colab.
By the end of this course, attendees will possess the ability to:
Configure and navigate the Google Colab interface.
This 35-hour instructor-led course in Bangkok empowers participants to utilize Python for constructing practical financial applications. The curriculum covers data analytics, asset allocation, and risk management through an immersive, hands-on methodology that blends instructional lectures with rigorous practical exercises.
This 35-hour Bangkok course offers practical insights into Data Science and AI in Python. Participants will explore CRISP-DM processes, machine learning with TensorFlow, NLP, and Big Data via Spark. It is designed for beginners pursuing professional analytics capabilities and a Python data science certification for business environments.
This instructor-led training in Bangkok provides an introduction to KNIME Analytics Platform for data-driven innovation. Participants will learn to develop data science scenarios, train and validate models, and implement end-to-end data value chains through hands-on labs and practical exercises.
This live, instructor-led session conducted in Bangkok (online or on-site) is designed for intermediate data analysts, developers, or aspiring data scientists aiming to utilize Python-based machine learning strategies to gain insights, generate predictions, and automate data-informed decisions.
By the course's conclusion, participants will be capable of:
Differentiating core machine learning paradigms.
Examining data preprocessing strategies and model evaluation indicators.
Applying machine learning algorithms to resolve real-world data issues.
Utilizing Python libraries and Jupyter notebooks for hands-on development.
Creating models for prediction, classification, recommendation, and clustering.
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Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
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