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.
Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace. Under the motto 'Eat your own dog food', he uses the techniques DataCamp teaches its students to understand how learners learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.