Importing Finance Data with Python from Free Web Sources

Name: Importing Finance Data with Python from Free Web Sources
Price: 10.99 USD
Availability: InStock
Rating: 4.5 (6814 reviews)

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

4.5 ★★★★★6,814 studentsCreated by Alexander HagmannPublished/Updated on: October 15, 2025🌐 English

📋

Key Takeaways

Course Essentials

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.

📚

Course Title

Importing Finance Data with Python from Free Web Sources

🏢

Provider

Udemy (via CourseSpeak listing)

👨‍🏫

Instructor

Alexander Hagmann

📅

Last Updated

October 15, 2025

📊

Difficulty Level

Beginner

🎯

Course Focus

office productivity fundamentals to advanced concepts

🏆

Learning Outcomes

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

📋

Prerequisites

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

Beginners to advanced programmers

Compare Similar Courses

Price Comparison

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.

⭐ Current

Udemy

Importing Finance Data with Python from Free Web Sources

⭐4.5

👥 6,814

10.99119.99

91% OFF

📅8h 30m

🎯 Current Deal

Udemy

The Complete Power BI Practical Course 2026

⭐4.5

👥 20,857

9.99199.99

95% OFF

📅21h

🔍 View Deal

Udemy

Python for Excel: Use xlwings for Data Science and Finance

⭐4.5

👥 11,927

10.99119.99

91% OFF

📅17h

🔍 View Deal

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

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•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)

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive office productivity courses.

👨‍🏫

About the Instructor

Course Expert

👨‍💻

Alexander Hagmann

Senior Instructor

View Instructor Profile

Experience

12+ years developing large-scale systems in Python.

Specialization

office productivity education and applied programming expertise.

Institution

Professional Academy - Leading provider of quality office productivity education and professional development.

Review - Importing Finance Data with Python from Free Web Sources course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Importing Finance Data with Python from Free Web Sources by Alexander Hagmann

Importing Finance Data with Python from Free Web Sources is a comprehensive online course designed to help students master Office Productivity skills. Created by Alexander Hagmann, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Python and take their career to the next level.

Our Recommendation

Course recommendation: Importing Finance Data with Python from Free Web Sources excels in office productivity development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.5

★★★★★

Course Rating

Based on 6,814 student reviews as of October 2025

Rating Breakdown:

5 stars:

75% (5,111)

4 stars:

15% (1,022)

3 stars:

5% (341)

2 stars:

5% (341)

1 star:

5% (341)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

This section addresses common questions and concerns about the course, including enrollment, content access, learning experience, and technical support.

More Courses You Might Like

This section suggests similar courses and related learning opportunities based on the current course's category, helping you discover additional educational content that matches your interests.