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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

dbt Cloud vs dbt Core for your enterprise data management platform

Comparison of dbt Cloud vs dbt Core implementations for deploying a DataOps enterprise data management platform.

Datacoves joins the TinySeed Family

Datacoves is thrilled to share that we are now part of the TinySeed family. We will leverage this investment to continue to delight our customers and to support the wider dbt community.

Tools for DataOps Implementations at Top Companies

There are a lot of DataOps tools that can help you automate data processes, manage data pipelines, and ensure the quality of your data. These tools can help data teams work faster, make fewer mistakes, and deliver data products more quickly.

Love desserts? Explain Big Data Analytics with a Delicious Analogy; Baking Cakes

We all love cakes and whether we bake them ourselves or buy them off the shelf, we all know the general process. In the data world, that is not the case.