Analyzing Google Sheets Data in Python | The Right Way to Query Tables

Companies run on spreadsheets. From financial management and budgeting to project management and KPI reporting: every team relies on spreadsheets in some shape or form.

If you want to be effective as an analyst in this spreadsheet-driven environment, it’s crucial that you know how to programmatically access data in spreadsheets as well as write the results of your analyses back to spreadsheets.

By automating the process, you can meet your stakeholders where their data is stored and avoid the tedium of manually exporting and importing data into spreadsheets.

In this session you'll learn how to use DataCamp Workspace to seamlessly access Google Sheets data and analyze the data with Python.

More specifically, you'll get hands-on practice with exploratory data analysis tasks like crunching numbers and drawing visualizations for Google Analytics data.

Key Takeaways:

- Learn to use DataCamp Workspace's Google Sheets integration to analyze Google Sheets data inside a notebook.
- Learn how to import and analyze data from Google Sheets.
- Learn how to write data back to Google Sheets.

Additional Resources:

[liuamy]

Hello data camp team, thanks for the amazing work. Is there anywhere we can find the script that is being demonstrated in the video? I am a data camp subscriber and didn't find it in his workspace. Thank you so much
@datacamp

[RL_VM-qq]

Thanks for making this session available to watch back! Is the link to the DataLab workbook for this code-along still available?