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JRM Data Engineer
AWS
1. Introduction to AWS & IAM (127:33)
2. Networking (123:55)
3. Storage S3 (145:13)
4. Workshop 1 (118:25)
5. EC2 (108:11)
6. EC2_cont & ELB_ASG (112:54)
7. Database: RDS + Aurora + Elasticache (113:24)
8. Workshop 2 (126:17)
9. Database: RDS + Aurora + Elasticache (cont) (111:24)
10. CloudFront & Route 53 (114:35)
11. Decoupling Application: SQS & SNS & Kinensis (112:59)
12. Workshop 3 (100:37)
13. Container (95:27)
14. Serverless (99:56)
15. Dabase, Data, and Data Analytics in AWS (90:43)
16. Machine Learning & AWS Monitoring, Audit, and Performace (95:20)
Power BI
Power BI Introduction (151:41)
Data Transformation with Power Query (128:55)
Data Modeling in Power BI - Part 1 (133:08)
Data Modeling in Power BI - Part 2 (125:55)
Relationship & DAX Language Basic (120:50)
DAX Language Practice (125:52)
Power BI Service Introduction - Part 1 (109:19)
Power BI Service Introduction - Part 2 (117:48)
SQL
Introduce SQL Server (145:25)
SQL Query Statements (141:24)
Debug, Join & Sub-query in SQL (128:08)
Case-When, Window Function & SQL practice (123:51)
Pivot Table, UDF and Stored Procedure in SQL (132:55)
Basic Optimization SQL Server (127:07)
Practice SQL Test Platform (135:09)
SQL Graph Basic (122:10)
Python
Introduce to Python & Basic syntax (102:51)
Read files & Algorithms (131:04)
Basic Data Analysts with Python (113:14)
Intermediate Data Analysis with Python (153:20)
Automate task with Python (122:32)
PySpark & JSON (84:23)
Practice Python Test Platform (114:22)
APIs and Demo Project Data Analysis with Python (120:55)
DE Project Workshop - Review
1. Workshop 1 - Sep 13th 2024 (102:07)
2. Workshop 2 - Sep 20th 2024 (117:18)
3. Workshop 3 - Sep 27th 2024 (134:46)
Udacity Project
ETL Pipelines (111:03)
Teach online with
Power BI Service Introduction - Part 1
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