Analyzing Olympics Data in SQL & Databricks
In this session, Holly, a Staff Developer Advocate at Databricks, teaches you how to get started using the Databricks platform while working through an analysis of Olympics sporting data.
Holly Smith
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
Analyzing Olympics Data with SQL and Python
Learn how to load data from different sources and perform exploratory analyses.
Justin Saddlemyer
코딩 실습
A Beginner's Guide to Data Analysis with SQL
In this session, DataCamp's VP of Media Adel Nehme & co-host of the DataFramed podcast, shows you how to get started with SQL.
Adel Nehme
코딩 실습
Exploring World Cup Data in Python
Learn to use a combination of SQL & Python to import, process, and analyze data
Filip Schouwenaars
The Olympics is one of the highlights of the sporting calendar, and it's fun to analyze with SQL! Of course, there is much more to analyzing data than writing SQL queries, and cloud data platforms like Databricks have many tools for analysts to use.
In this session, Holly, a Staff Developer Advocate at Databricks, teaches you how to get started using the Databricks platform while working through an analysis of Olympics sporting data. You'll write some SQL, but learn how that fits into the larger analytics workflow.
Key Takeaways:
Resources (including link to code along)