함께 코드 따라하기
코드 따라하기 ↗Full Stack Data Engineering with Python
In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Blenda Guedes
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
코딩 실습
Exploratory Data Analysis in Python for Absolute Beginners
In this live codealong, you will learn the basics of exploring new datasets
Filip Schouwenaars
코딩 실습
Getting Started with Data Pipelines for ETL
In this session, you'll learn fundamental concepts of data pipelines, like what they are and when to use them, then you'll get hands-on experience building a simple pipeline using Python.
Jake McGrath
The full data workflow often involves many stages, from importing and processing the data to make it suitable for analysis, followed by some number crunching, and then presenting your insights.
In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Key Takeaways: