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Importing and Managing Financial Data in Python

IntermediateSkill Level
4.8+
17 reviews
Updated 05/2025
In this course, you'll learn how to import and manage financial data in Python using various tools and sources.
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PythonApplied Finance5 hours16 videos53 Exercises4,350 XP43,031Statement of Accomplishment

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Course Description

If you want to apply your new 'Python for Data Science' skills to real-world financial data, then this course will give you some very valuable tools. First, you will learn how to get data out of Excel into pandas and back. Then, you will learn how to pull stock prices from various online APIs like Google or Yahoo! Finance, macro data from the Federal Reserve, and exchange rates from OANDA. Finally, you will learn how to calculate returns for various time horizons, analyze stock performance by sector for IPOs, and calculate and summarize correlations.

Prerequisites

Data Manipulation with pandas
1

Importing stock listing data from Excel

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2

Importing financial data from the web

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3

Summarizing your data and visualizing the result

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4

Aggregating and describing your data by category

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Importing and Managing Financial Data in Python
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*4.8
from 17 reviews
82%
18%
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  • Nelson
    3 days

  • Rubhav
    3 days

  • Sruti
    6 days

  • William
    8 days

  • Quang
    11 days

    This course is a solid foundation for anyone looking to handle financial data programmatically. As someone interested in financial modeling and algorithmic trading, I found the modules well-structured and practical. It covers a wide range of data sources — from local CSVs to APIs like Quandl and Yahoo Finance — and shows how to clean, merge, and resample time-series data effectively using pandas.The pace is appropriate for intermediate Python users, and the explanations are clear. I especially appreciated the hands-on coding exercises, which helped reinforce key concepts like working with datetime objects, managing missing data, and aligning time series.If you're building a pipeline for financial analysis or backtesting strategies, this course gives you the tools to get started confidently.

  • Christian
    17 days

Nelson

Rubhav

Sruti

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