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Course Description
Elevate your DataLab skills with SQL
After learning the fundamentals of DataLab in the introductory course, this course focuses on the SQL features that allow you to make the most out of this AI-powered data notebook for your analysis, reporting, and more. You'll see how to get started with a SQL analysis using data found in Google Sheets or CSV files without complicated installations or integrations. You'll use the different query modes in the notebook to simplify otherwise complex querying by saving queries and outputs and reusing them.
Boost your productivity with AI
With the basics down, you'll move on to leveraging the AI features to help you visualize your data without any code! You'll also learn how to use the AI assistant to generate or fix your SQL code and learn about some cool automation and version control features. By the end of the course, you'll be equipped with the skills to make a SQL project, report, or analysis that combines text, code, and visualizations.
Prerequisites
Curriculum
Course outline
1
Querying data in DataLab
Learn how to work with Google Sheets, CSV files, and sample datasets within DataLab. By the end of the chapter, you'll be able to query both raw CSV files and stored DataFrames or Queries using SQL cells.
2
Visualization and AI automation
Explore how to turn your data into visual insights and leverage the AI assistant to boost your productivity in DataLab. You'll end the course by discovering management features like scheduling and version control.
DataLab with SQL
Course
Complete
