Data Science in Bhutan: Learn from each other - doing data science.

Hosted By
Troy S. and Neelam D.

Details
Meetup Description
Data Science In Bhutan: A Deep Dive into the Three Layers
Join us for an insightful exploration of how data science is revolutionizing government and industry operations. This meetup will delve into the practical applications of data science across various government and private sectors, breaking down the complex technology into three core layers:
1. The Physical Layer:
- Understand the underlying hardware infrastructure and data storage solutions powering government data science initiatives.
- Explore the challenges and opportunities in managing and securing large datasets.
- Discuss the role of cloud computing and edge computing in modern government data science.
2. The Logical Layer:
- Learn about the powerful algorithms and analytical techniques driving data-driven insights.
- Discover how machine learning, artificial intelligence, and statistical modeling are being used to solve complex government problems.
- Examine the ethical considerations and biases that can arise in data science applications.
3. The Visualization Layer:
- Explore the art and science of communicating data-driven insights effectively.
- Learn how data visualization tools can help policymakers and the public understand complex issues.
- Discuss the importance of storytelling in data science and how to create impactful visualizations.
Who should attend:
- Government officials and employees
- Data scientists and analysts
- IT professionals
- Students and researchers interested in data science
- Anyone curious about harnessing the power of data science
What you'll gain:
- A deeper understanding of the technical foundations of data science
- Practical insights into real-world government and private applications
- Networking opportunities with like-minded professionals
Don't miss this opportunity to learn from experts and connect with the data science community.

Thimphu Data Science Meetup
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Data Science in Bhutan: Learn from each other - doing data science.