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Introduction to DataLab

BasicSkill Level

4.8+

Updated 05/2025

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

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DataLabReporting1 hr7 videos23 Exercises1,900 XPStatement of Accomplishment

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Course Description

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.

Prerequisites

Intermediate SQL

1

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.

What is DataLab?

Viewing notebooks

Key features of DataLab

Good use cases for DataLab

Adding and editing cells

Adding a new text cell

Moving and editing text cells

Running and executing code

Running different cell types

Getting things in order

2

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.

Accessing data and files in DataLab

Viewing data using an Explore cell

Extract data from an Explore cell

Access local files

Using other built in cell types

Filtering with Explore cells

Creating a Chart

Filtering and creating a chart

Going further & faster with AI

Fixing code errors

Adding visualizations using AI

Modifying existing code with AI

Introduction to DataLab

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*4.8

from 103 reviews

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Anjie

2 weeks ago

very detailed examples and easy to understand

Ibrahim

3 weeks ago

Aya

4 weeks ago

MD

5 weeks ago

Josh

5 weeks ago

Mercy

2 months ago

"very detailed examples and easy to understand"

Anjie

Ibrahim

Aya

FAQs

What is DataLab and what can I do with it?

DataLab is a notebook environment for data analysis. You can write and run code in cells, explore datasets, create charts, and use AI-powered tools to boost productivity.

Do I need SQL knowledge before taking this course?

Yes. The prerequisites include Introduction to SQL and Intermediate SQL. DataLab integrates SQL for querying datasets within the notebook environment.

What are Explore and Chart cells in DataLab?

They are specialized cell types that let you visually browse datasets and create charts without writing code, making data exploration faster and more accessible.

How long does this course take to complete?

It has 2 chapters with 25 exercises and an estimated 60 minutes of content. Most learners finish in about 1.3 hours.

Does this course teach how to use AI features in DataLab?

Yes. Chapter 2 covers AI-powered tools within DataLab that help enhance your workflow, such as generating code suggestions and assisting with data analysis tasks.

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