함께 코드 따라하기
코드 따라하기 ↗Analyzing Google Sheets Data in Python
In this session you'll learn how to use DataLab to seamlessly access Google Sheets data and analyze the data with Python. Practice with exploratory data analysis tasks like crunching numbers and drawing visualizations for Google Analytics data.
Filip Schouwenaars
무료 계정 만들기
실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
튜토리얼
How to Analyze Data in Google Sheets With Python: A Step-By-Step Guide
Boost your data analysis skills with our step-by-step guide on how to analyze, manipulate and write back data in Google Sheets using Python.
튜토리얼
Using Python to Power Spreadsheets in Data Science
Learn how Python can be used more effectively than Excel, with the Pandas package.

코딩 실습
Exploratory Data Analysis in Python for Absolute Beginners
In this live codealong, you will learn the basics of exploring new datasets



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:
Additional Resources: