Analytics Engineering for Data Professionals

12h 46m 13s
English
Paid

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.

Read more about the course

What you will learn:

  1. Create and develop a modern data warehouse using Snowflake.
  2. Automatically load data from multiple sources using connectors in Fivetran.
  3. Clean and transform data, mastering the basics of ELT (Extract, Load, Transform) using DBT and SQL.
  4. Configure and connect the business intelligence tool (Preset) to the data warehouse.

Key outcomes:

  1. Build a full-fledged Data Engineering product - from "raw" data to visualization.
  2. Add a practical project to your portfolio that demonstrates in-demand skills in the market.

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#1: 001 Live session 1 Introduction + overview of Data Stack

All Course Lessons (9)

#Lesson TitleDurationAccess
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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Books

Read Book Analytics Engineering for Data Professionals

#Title
1AE session 1
2AE session 2
3AE session 3
4AE session 4
5AE session 5

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