Importing Finance Data with Python from Free Web Sources
Importing Finance Data with Python from Free Web Sources Coupon Code. Get Historical Prices, Fundamentals, Metrics/Ratios etc. for thousands of Stocks, Bonds, Indexes, (Crypto-) Currencies
Importing Finance Data with Python from Free Web Sources
Importing Finance Data with Python from Free Web Sources Course. 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 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
What you’ll 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
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Who this course is for:
- 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.
Instructor
Alexander Hagmann – Alexander is a Data Scientist and Finance Professional with more than 10 years of experience in the Finance and Investment Industry.
He is also a Bestselling Udemy Instructor for
- Data Analysis/Manipulation with Pandas
- (Financial) Data Science
- Python for Business and Finance
- Algorithmic Trading
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
