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Curated learning resources to improve your analytic skills

OpenIntro Statistics
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An Introduction to Statistical Learning
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Select * SQL Learning Resource
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LinkedIn's SQL Courses
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Understanding window functions
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dbt fundamentals
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Refactoring SQL for modularity
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Tutorialpoint's YAML resource
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Getting started with Snowflake
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Getting started with Snowsight
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Mike Kahan's Snowflake tutorial series
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Getting Started with Redshift
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Complete idiot's guide to YAML
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Get started developing workflows with Apache Airflow
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Kimball in the context of the modern data warehouse: what's worth keeping, and what's not
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Kimball’s Dimensional Data Modeling
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Git in VS Code
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Atlassian's learn Git with Bitbucket
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Toptal's Advanced Git
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LinkedIn's Git Courses
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Getting to know the Command Line
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Best practices with Airflow
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Airflow about subDAGs, branching and xcom
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Demystifying DataOps - Riding the Change
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How to Build a Modern Data Stack
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Metabase-getting-started
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Microsoft PowerBi Training
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Microsoft Power Bi Webinars
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Linkedin's Power Bi Courses
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DAX Guide
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Tableau Getting Started
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LinkedIn's Tableau Courses
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Working With QlickView
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Mike Kahan's Power Bi Tutorials
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What is Apache Superset? 3 critical factors
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Reading list

Ultimate dbt macros - data build tool and jinja command cheatsheets

dbt is very powerful, and coupled with Jinja dbt macros, you can do amazing things. These handy resources will make your life easier.

You don’t need to build data lake, you need Omakase

The cloud revolution has brought in a new set of challenges for organizations which have nothing to do with delivering solutions. The main problem is that people are faced with having to select among many tools to build a trustworthy data stack and most people would be better served with Omakase.

How To Implement DataOps And Why It Is Important

An overview of DataOps, how it’s defined, and why enabling DataOps for teams is important. We cover the issues it resolves and how it can be put into practice.

Using dbt to Document and Test data transformed with other tools

Build trust with you insights.Learn how to use dbt to test and document your data even if you are not using dbt for transformation.