What is DataLab?

Introduction to DataLab

Jason Mak

Product Lead

Welcome to DataLab

     

  • Interactive and collaborative environment for data exploration
  • Combines code, visuals, and markdown
  • Relevant in today's data-driven world

Notebook example

1 Chester Fedorov's competition entry: https://www.datacamp.com/datalab/w/e774b582-11c7-4dec-a219-f25c32834e4a
Introduction to DataLab

Introducing Data notebooks

     

  • Document and share data experiments
  • Integrate code, text, and results seamlessly
  • Example: DataLab, Jupyter or Databricks notebooks

Jupyter notebook example

Example Jupyter notebook

Introduction to DataLab

Where DataLab shines

     

Ideal for DataLab:
  • Ad-hoc report creation
  • Accessing and exploring large datasets
  • In-depth data analysis
  • Prototyping machine learning models

     

Other tools are more suitable:
  • Long form text documents
  • Managing large databases
  • Working on a complex codebase
Introduction to DataLab

DataLab strengths

     

  • Easy access: Easy to connect to our data anywhere

Data connectors

Introduction to DataLab

DataLab strengths

     

  • Easy access: Easy to connect to your data anywhere
  • Fast: Quickly prototype and tell stories with data using AI

Quickly prototype with AI

Introduction to DataLab

DataLab strengths

     

  • Easy access: Easy to connect to your data anywhere
  • Fast: Quickly prototype and tell stories with data using AI
  • Collaboration: Work on notebooks simultaneously

Multiplayer editing

Introduction to DataLab

Key takeaways

     

  • DataLab integrates code, visuals, and markdown
  • Ideal for collaboration and data-driven storytelling
  • Useful for prototyping, exploration, and analysis
Introduction to DataLab

Let's practice!

Introduction to DataLab

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