Importing Finance Data with Python from Free Web Sources — 91% OFF Discount Coupon

Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies

★4.5 out of 5
6,814 students
Created by Alexander Hagmann
English
Updated October 2025

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Importing Finance Data with Python from Free Web Sources before you enroll:

•Course Name: Importing Finance Data with Python from Free Web Sources
•Platform: Udemy
•Instructor: Alexander Hagmann
•Coupon Last Verified: October 15, 2025
•Level: Beginner
•Topic: Office Productivity
•Subtopic: Python
•Total Time: 8h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•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.
•Current Price: $10.99 (was $119.99). You save $109.00 with 91% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.

Skills You'll Master

By the end of Importing Finance Data with Python from Free Web Sources, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in Importing Finance Data with Python from Free Web Sources, make sure you have:

•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)

About This Udemy Course

The following is the full official course description for Importing Finance Data with Python from Free Web Sources as published on Udemy by instructor Alexander Hagmann:

What can be the most critical and most expensive part when working with financial data?

Pandas coding? Creating some advanced Algorithms to analyse and optimize portfolios? Building solutions for Algorithmic Trading and Robo Advising? Maybe! But very often it is … getting the Data!

Financial Data is scarce and Premium Data Providers typically charge $20,000 p.a. and more!

However, in 95% of all cases where Finance Professionals or Researchers require Financial Data, it can actually be obtained from Free or low-priced web sources. Some of them provide powerful APIs and Python wrapper packages, which makes it easy and comfortable to import the data with and into Python.

+++ This Importing Finance Data with Python from Free Web Sources course shows you how to get massive amounts of Financial Data from the web and provides downloadable Python coding templates (Jupyter Notebooks) for your convenience! +++

This course covers four different data sources and explains in detail how to install required Libraries and how to download and import the data with few lines of Python Code. You will have access to

  • 60+ Exchanges all around the world
  • 120,000+ Symbols/Instruments
  • Historical Price and Volume Data for thousands of Stocks, Indexes, Mutual Funds and ETFs
  • Foreign Exchange (FOREX): 150+ Physical Currencies / Currency Pairs
  • 500+ Digital- / Cryptocurrencies
  • Fundamentals, Ratings, Historical Prices and Yields for Corporate Bonds
  • Commodities (Crude Oil, Gold, Silver, etc.)
  • Stock Options for 4,500 US Stocks
  • Fundamentals, Metrics and Ratios for thousands of Stocks, Indexes, Mutual Funds and ETFs
  • Balance Sheets
  • Profit and Loss Statements (P&L)
  • Cashflow Statements
  • 50+ Technical Indicators (e.g. SMA, Bollinger Bands)
  • Real-time and Historical Data (back to 1960s)
  • Streaming high-frequency real-time Data
  • Stock Splits and Dividends and how these are reflected in Stock Prices
  • Learn how Stock Prices are adjusted for Stock Splits and Dividends...
  • … and use appropriately adjusted data for your tasks! (avoid the Pitfalls!)
  • Build your own Financial Databases...

… And save thousands of USDs!

What are you waiting for? As always, I provide a 30-Days-Money-Back Guarantee. So, there is no risk for you!

Looking forward to seeing you in the course!

Compare Similar Courses

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

Compare prices and features to find the best deal for your learning needs

Is the Importing Finance Data with Python from Free Web Sources Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: October 15, 2025.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Importing Finance Data with Python from Free Web Sources is a high-value resource for learners seeking to build skills inOffice Productivity. Taught by Alexander Hagmann on Udemy, the 8h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 91%, from $119.99 to $10.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 91% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 6,814 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Importing Finance Data with Python from Free Web Sources:

  • The depth of Office Productivity coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Importing Finance Data with Python from Free Web Sources Course holds an aggregate rating of 4.5 out of 5 based on 6,814 student reviews on Udemy.

4.5
★★★★★
6,814 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Alexander Hagmann, the instructor responsible for creating and maintaining Importing Finance Data with Python from Free Web Sources on Udemy.

Importing Finance Data with Python from Free Web Sources is taught by Alexander Hagmann, a Udemy instructor specializing in Office Productivity. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Alexander Hagmann
•Subject Area: Office Productivity
•Teaching Approach: Practical, project-based instruction focused on real-world application of Office Productivity skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Importing Finance Data with Python from Free Web Sources, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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