Your First API Project: Analyzing Financial Data with Python (Beginner-Friendly)

In this video, Dataquest’s Director of Curriculum, Anna Strahl, will guide you through how to retrieve and analyze financial data using Python and the Nasdaq Data Link API—perfect for learners looking to develop skills in data-driven finance.

You’ll take on the role of a financial analyst and learn how to access real-world economic datasets, transform raw JSON data into pandas DataFrames, and visualize trends over time. This project will show you how to work with APIs, clean and explore time-series data, and extract insights that matter in investment and business contexts.

This session is ideal for learners with intermediate Python skills who want to gain confidence using APIs and build finance-focused portfolio projects.

What You'll Learn:
API Integration: Use Python and the requests library to query and extract data from the Nasdaq Data Link API
Data Wrangling: Convert JSON responses into structured pandas DataFrames and clean the data for analysis
Trend Analysis: Visualize economic indicators and identify market patterns across time and regions

Recommended Prerequisites:
APIs and Web Scraping in Python for Data Science → https://www.dataquest.io/course/apis-...

Access the Project: https://www.dataquest.io/projects/gui...

Video chapters:
00:00:00 - Intro
00:04:30 - Using the API Key
00:17:50 - Working with JSON
00:21:48 - Data cleaning
0:39:33 - Visualizing the data
00:52:04 - Audience Q&A

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