Knowledge Base: Working With Data Teams
You'll learn: How to make positive contributions when working with analytics and data science teams.
Knowledge Base information is split up into 4 sections, organized by how it important it is to know each bit; peruse at your own leisure.
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The basics
Core concepts everyone should understand about data teams, including analytics, data science, and ML
What you need to know
What you should know
Where data comes from
Understanding data sources and collection across the business
What you need to know
What you should know
Where data is stored
Understanding data warehouses and storage solutions
What you need to know
What you should know
Tools and products
How data gets moved around
Understanding ETL processes and data transformation
What you need to know
How data gets used
Understanding data applications and machine learning
What you need to know
What you should know
What's nice to know
The basics
Core concepts everyone should understand about data teams, including analytics, data science, and ML
Where data comes from
Understanding data sources and collection across the business
Where data is stored
Understanding data warehouses and storage solutions
How data gets moved around
Understanding ETL processes and data transformation
How data gets used
Understanding data applications and machine learning
