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:
Code Along! https://www.datacamp.com/code-along/analyzing-google-sheets-data-in-python
[Tutorial] How to Analyze Data in Google Sheets With Python: A Step-By-Step Guide: https://bit.ly/3TcU1cV
[Blog] Using Google Sheets in Workspace: https://bit.ly/48wvJPy
[Tutorial] Python Excel Tutorial: The Definitive Guide: https://bit.ly/49HeXys
Another Code Along hosted by Filip - Analyzing Top Runner Performance from A to Z with AI using Workspace: https://bit.ly/48rd0oA
[Cheat Sheet] Python Cheat Sheet for Beginners: https://bit.ly/3IdccZE
[SKILL TRACK] Google Sheets Fundamentals: https://bit.ly/3IgBjLu
[Workspace Tutorial] How to Send Slack Messages with Python: https://bit.ly/48wfaDs
[Workspace Tutorial] Schedule Data Notebooks to Automate Business Metric Reporting: https://bit.ly/3IcGID4
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