NobleProg delivers specialized Data Science training opportunities within the vibrant landscape of Bhutan. Tailored to the unique professional needs of this Himalayan nation, our courses empower local businesses and individuals with cutting-edge skills in Data Science. Participants benefit from expert-led instruction designed to drive innovation and sustainable growth in Bhutan's evolving economy.
Whether delivered online or on-site, our instructor-led live Data Science training sessions focus on hands-on practice to show you how to derive meaningful knowledge from data in various formats.
You can choose Data Science training as either "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted through an interactive, remote desktop. Onsite live training can be arranged at your customer premises in Bhutan or within NobleProg's corporate training centers located in Bhutan.
NobleProg -- Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level professionals who wish to understand the concept of pre-trained models and learn how to apply them to solve real-world problems without building models from scratch.
By the end of this training, participants will be able to:
Understand the concept and benefits of pre-trained models.
Explore various pre-trained model architectures and their use cases.
Fine-tune a pre-trained model for specific tasks.
Implement pre-trained models in simple machine learning projects.
This instructor-led, live training in Bhutan (available online or onsite) is designed for intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their data science workflows.
By the end of this training, participants will be able to:
Set up a data science environment in AWS Cloud9.
Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
Use AWS Cloud9 for developing and deploying machine learning models.
Optimize cloud-based workflows for data analysis and processing.
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.
By the end of this training, participants will be able to:
Set up Apache Airflow for machine learning workflow orchestration.
Automate data preprocessing, model training, and validation tasks.
Integrate Airflow with machine learning frameworks and tools.
Deploy machine learning models using automated pipelines.
Monitor and optimize machine learning workflows in production.
This instructor-led live training in Bhutan (online or onsite) targets beginner-level data scientists and IT professionals keen on learning the basics of data science using Google Colab.
Upon completing this training, participants will be equipped to:
This 35-hour instructor-led course in Bhutan empowers participants to harness Python for constructing practical financial applications. Through a hands-on methodology that integrates lectures with rigorous practical exercises, the curriculum covers essential areas such as data analysis, asset allocation, and risk management.
This comprehensive 35-hour training in Bhutan focuses on practical applications of Data Science and AI using Python. Key topics include CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data management with Spark. It is an ideal choice for beginners looking to develop industry-relevant analytics skills and achieve Python data science certification for real-world business scenarios.
This instructor-led training in Bhutan introduces KNIME Analytics Platform as a tool for data-driven innovation. Participants will gain the ability to build data science scenarios, train and validate models, and execute end-to-end data value chains through hands-on labs and practical exercises.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists who wish to leverage machine learning techniques in Python to extract insights, make predictions, and automate data-driven decisions.
By the end of this course, participants will be able to:
Grasp and distinguish between key machine learning paradigms.
Explore data preprocessing techniques and model evaluation metrics.
Apply machine learning algorithms to solve real-world data challenges.
Utilize Python libraries and Jupyter notebooks for practical development.
Construct 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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