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
無料アカウントを作成する
練習とトラックであなたの進捗を記録しましょう。
Googleで登録続行すると、次に同意したものとみなされます: 利用規約、 プライバシーポリシー 、およびデータが米国内に保管されることに同意したものとみなされます。関連

コードアロング
Analyzing Olympics Data with SQL and Python
Learn how to load data from different sources and perform exploratory analyses.

コードアロング
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.

コードアロング
Exploring World Cup Data in Python
Learn to use a combination of SQL & Python to import, process, and analyze data



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)