Introduction to DataLab

Overview

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Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Discover DataLab for analysis and reporting

Learn the fundamentals of DataLab, an AI-powered data notebook for analysis, reporting, and experiments. You'll see how to add and use a variety of cells including text, SQL, and code cells using SQL and Python.

Advanced functionality and collaboration

Find out how to build data workflows including connecting data sources such as Google Sheets, load, filter, and visualize data! You'll use explore cells, chart cells, and the AI assistant to plot your data and draw insights without needing to write any code!
In this hands-on course, you'll learn the basics of using DataLab for data analysis and exploration. Learn how to navigate and use data notebooks, special features like explore and chart cells. You'll also discover how to access datasets and use AI tools to boost your productivity. By the end of the course you'll be ready to be productive in DataLab and use it for your own work.

Syllabus

Introduction to DataLab

In this chapter, you’ll get acquainted with DataLab, a powerful notebook environment for data analysis. You'll explore its interface, understand its core features, and learn how to structure your work using cells. By the end of this chapter, you’ll be able to add, edit, and execute cells efficiently, setting a solid foundation for working in DataLab.

Using core DataLab features

This chapter will guide you through accessing and managing data, using specialized cell types like Explore and Chart cells. You'll also learn how to leverage AI-powered tools to enhance your workflow. By the end, you’ll have the skills to analyze data more effectively and collaborate efficiently in DataLab.