Importing Finance Data with Python from Free Web Sources
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- At udemy.com you can purchase Importing Finance Data with Python from Free Web Sources for only $99.99
- The lowest price of Importing Finance Data with Python from Free Web Sources was obtained on June 17, 2025 2:06 am.
$94.99 Original price was: $94.99.$16.00Current price is: $16.00.
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Importing Finance Data with Python from Free Web Sources
$94.99 Original price was: $94.99.$16.00Current price is: $16.00.
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Importing Finance Data with Python from Free Web Sources
★★★★★
$99.99
in stock
Udemy.com
as of June 17, 2025 2:06 am
Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies

Created by:
Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur
Data Scientist | Finance Professional | Entrepreneur
Rating:4.56 (410reviews)
6661students enrolled
What Will I Learn?
- Importing free / low-priced Financial Data from the Web with Python
- Installing the required Libraries and Packages
- Working with powerful APIs and Python wrapper packages
- Downloading Historical Prices and Fundamentals for thousands of Stocks, Indexes, Mutual Funds and ETF´s
- Downloading Historical Prices for Currencies (FOREX), Cryptocurrencies, Bonds & more
- Saving / Storing the Data locally
- Pandas Coding Crash Course
Requirements
- Some Python Basics
- A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
- An internet connection capable of streaming videos and downloading data
- Ideally first experience with Pandas Library (not necessary, a Pandas crash course is included in the course)
Target audience
- Investment & Finance Professionals (and their Companies) spending thousands of USD p.a. on Financial Data.
- (Finance) Students and Researchers who need to work with large financial datasets with only small budgets.
- Everybody working occasionally with Financial Data.
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