हमारे साथ कोड-अलॉन्ग करें
कोड-अलॉन्ग ↗Analyzing Olympics Data with SQL and Python
Learn how to load data from different sources and perform exploratory analyses.
Justin Saddlemyer
अपना निःशुल्क खाता बनाएँ
अभ्यास और ट्रैक अपनी प्रगति को।
Google के साथ जारी रखेंजारी रखकर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा USA में संग्रहीत है।संबंधित

कोड-अलॉंग
Exploring World Cup Data in Python
Learn to use a combination of SQL & Python to import, process, and analyze data

कोड-अलॉंग
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.

कोड-अलॉंग
Superbowl Analysis in Python
Learn to do exploratory data analysis in Python on historic Super Bowl data.



Learn how to leverage the power of DataLab by combining Python and SQL to load data from different sources, combine them, and perform exploratory analyses.
This training will use an Olympics dataset and then enrich it with country details from a SQL database. Learners will then explore the data, uncovering interesting insights and creating interactive visualizations.
This training is geared towards learners with some background in SQL and some introductory knowledge of Python. It is recommended that they take Joining Data in SQL and Data Manipulation with pandas prior to attending the session.
Key takeaways
Combine different data sources using SQL & Python using DataLab
Perform basic exploratory analysis using pandas
Learn how to use Plotly to easily create interactive visualizations
Materials
Access to the solution notebook