Data Analytics on Amazon Web Service

Introduce basic usage of Amazon Web Service (AWS) for data analysis and visualization, including python programming, data mining, data visualization and machine learning.

Video Tutorial

https://www.youtube.com/playlist?list=PLHutrxqbP1ByHc4Vyck20Jg3TSRGFEtVg

Basic Usage

1. Link GitHub to AWS SageMaker Jupyter Notebook
2. Create Jupyter Notebook on AWS SageMaker
   • Demo video
3. Facial Recognition on Raspberry Pi with AWS Rekognition
   • Demo video
4. Create VR Scene on AWS Sumerian
5. Download Landsat Images from AWS
6. Manually Create Tables in PostgreSQL
7. Manage AWS Cloud Database in Python
   • Demo video
8. Hosting a Static Website on AWS
9. QuickSight Quick Start
10. Use AWS AppStream to Create a Virtual Lab
11. Build a Remote Desktop with AWS WorkSpaces
12. AWS Educate Quick Start
13. A Simple Face Comparison Code with AWS Rekognition
    • Demo video
14. Host a Static Website on AWS EC2 Instances
15. Create an AWS RDS Instance
    • Demo SQL
16. Explore and Visualize Data in AWS QuickSight
17. Use QuickSight and Athena to Explore Data in AWS S3
    • Athena SQL Code
18. Explore AWS Console
19. Host a Website with an AWS EC2 Instance
    • User Data for EC2
20. Python Programming with AI
21. Use AWS to Identify Twitter Topics and Sentiments
22. A Serverless Dashboard to Analyze and Visualize Social Media Data in Real-time