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Analyzing Google Sheets Data in Python

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.
Tuesday February 27, 11AM ET
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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.

Presenter Bio

Filip Schouwenaars Headshot
Filip SchouwenaarsVP of Engineering DataCamp DataLab at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataLab, DataCamp's AI enabled data notebook. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

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