hands-on lab

Working and Visualizing Cryptos Data with CoinGecko and Python

Up to 1h
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.


If you are familiar or passionate with cryptocurrencies, you should know that their price can vary very fast. Because of the high volatility of the majority of cryptos, you would want to retrieve and visualize current and historical prices and info related to them. CoinGecko is one of the most used and accessible cryptos platforms to retrieve data. It offers you the possibility to leverage an API to access the data. A lot of public libraries have been developed to support the majority of programming languages.

In this lab, you will use the CoinGecko API along with Python to retrieve cryptocurrencies data. You will then use plotly, a famous chart library, to visualize the cryptos data.

Learning Objectives

Upon completion of this lab you will be able to:

  • Leverage the CoinGecko API to retrieve cryptocurrencies data
  • Implement plotly to visualize data

Intended Audience

This lab is intended for:

  • Data scientists interested in cryptocurrencies trends
  • Passionate about cryptos that want to handle cryptos market data


To get the most from this lab, you should be familiar with basic finance concepts. To get ready for it, you can complete the following labs:

About the author

Learning paths

Stefano studies Computer Science and is passionate about technology. He loves working with Cloud services and learning all the best practices for them. Google Cloud Platform and Amazon Web Services are the cloud providers he prefers. He is a Google Cloud Certified Associate Cloud Engineer. Node.js is the programming language he always uses to code. When he's not involved in studying or working, Stefano loves riding his motorbike and exploring new places.

Covered topics

Lab steps

Starting the CoinGecko Jupyter Notebook