Analytics Engineering for Data Professionals
Course description
Analytics Engineering is the foundation of Data Science and artificial intelligence. This approach represents a dynamic blend of data engineering and analytics, acting as a bridge between these two fields. Analytics engineers are responsible for a significant portion of the data lifecycle: from loading data sources and building data warehouses with corresponding pipelines to integration with business intelligence tools.
If you are an analyst or data scientist looking to master modern Data Engineering tools, or a beginner in the field of Analytics Engineering, this practical course is for you.
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What you will learn:
- Create and develop a modern data warehouse using Snowflake.
- Automatically load data from multiple sources using connectors in Fivetran.
- Clean and transform data, mastering the basics of ELT (Extract, Load, Transform) using DBT and SQL.
- Configure and connect the business intelligence tool (Preset) to the data warehouse.
Key outcomes:
- Build a full-fledged Data Engineering product - from "raw" data to visualization.
- Add a practical project to your portfolio that demonstrates in-demand skills in the market.
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All Course Lessons (9)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 001 Live session 1 Introduction + overview of Data Stack Demo | 01:26:03 | |
| 2 | 002 Live session 1 Introduction + overview of Data Stack- Shared screen with speaker view | 01:26:03 | |
| 3 | 003 Live Session 2 Data Warehouse in Snowflake and data ingestion using Fivetran | 01:27:11 | |
| 4 | 004 Live Session 2 Data Warehouse in Snowflake and data ingestion using Fivetran Recording | 01:27:11 | |
| 5 | 005 Live Session 3 Setting up Github and DBT | 01:19:54 | |
| 6 | 006 Live Session 3 Setting up Github and DBT- Shared screen with speaker view | 01:19:54 | |
| 7 | 007 Live Session 4 SQL pipelines in DBT | 01:28:56 | |
| 8 | 008 Live Session 4 SQL pipelines in DBT- Shared screen with speaker view | 01:28:56 | |
| 9 | 009 Live Session 5 creating dashboards in Preset | 01:22:05 |
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Read Book Analytics Engineering for Data Professionals
| # | Title |
|---|---|
| 1 | AE session 1 |
| 2 | AE session 2 |
| 3 | AE session 3 |
| 4 | AE session 4 |
| 5 | AE session 5 |
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