Importing Finance Data with Python from Free Web Sources

📈 Master Financial Data Import with Python - Online Course by Alexander Hagmann 🌐

Course Headline:

Unlock Endless Financial Data for Stocks, Bonds, Indexes, Cryptocurrencies & More from Free Web Sources!

Course Description:

🔍 Discover the Secret to Affordable Financial Data Acquisition Without Breaking the Bank!

Financial data is often considered the most critical and expensive part of financial analysis, with premium data providers charging upwards of $20,000 per year. But did you know that in 95% of cases where financial professionals or researchers need this data, it can be acquired from free or low-cost web sources?

In this comprehensive course, "Importing Finance Data with Python from Free Web Sources," Alexander Hagmann, an experienced course instructor, will guide you through the process of obtaining massive amounts of financial data from the web. You'll learn how to leverage powerful APIs and Python wrapper packages to make data importing both easy and efficient.

Here's What You'll Learn:

• Data Sources Galore: Access historical price and volume data for thousands of stocks, indexes, mutual funds, ETFs, and more.
• Currencies & Cryptocurrencies: Work with 150+ physical currencies, over 500 digital currencies, and their pairs.
• Bonds and Commodities: Explore fundamentals, ratings, historical prices, and yields for corporate bonds, as well as data on commodities like crude oil and gold.
• Options & Investment Vehicles: Discover stock options for 4,500 US stocks and essential financial metrics for various investment vehicles.
• Financial Statements: Analyze balance sheets, profit and loss statements (P&L), and cashflow statements.
• Technical Analysis: Utilize more than 50 technical indicators like SMA, Bollinger Bands, and many others.
• Real-Time Data: Get access to real-time data streaming, including historical data back to the 1960s.
• Post-Split Adjustments: Learn how to adjust stock prices for stock splits and dividends correctly to avoid common pitfalls in your analysis.
• Build Your Own Financial Databases: Gain the skills to compile and organize financial data into powerful databases for your analysis needs.

Why Take This Course?

• Cost-Effective: Learn how to save thousands of USDs by accessing free or low-cost data sources instead of expensive premium services.
• Skill Enhancement: Enhance your Python programming skills, particularly with Pandas, to handle financial data efficiently.
• Versatile Application: Apply your newfound knowledge to a variety of fields, including finance, trading, investment analysis, and beyond.

What's Included?

• Over 6 hours of on-demand video content.
• Full access to downloadable Python coding templates (Jupyter Notebooks).
• Practical examples to apply the concepts learned in real-world scenarios.
• A community of like-minded learners to collaborate and grow with.

Your Instructor: Alexander Hagmann is a seasoned professional with extensive experience in teaching Python data import techniques. He ensures that the course content is up-to-date, as evidenced by the latest course update and full code review completed in April 2023.

Guaranteed Learning Experience: We are so confident about the value this course provides that we offer a 30-Day Money-Back Guarantee. If you're not satisfied with the course, we will fully refund your investment, no questions asked.

Ready to transform your data analysis skills and save money? Enroll now and unlock the world of financial data at your fingertips! 💰📊

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