Importing and Managing Financial Data in Python

Starting at USD 39.00
5 hours duration

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

This course offers an opportunity to apply your newly acquired 'Python for Data Science' skills to real-world financial data. It equips you with valuable tools to effectively work with financial data. The course begins by teaching you how to extract data from Excel and manipulate it using pandas. You will also learn how to seamlessly transfer data between Excel and pandas. Furthermore, the course covers the process of retrieving stock prices from different online APIs such as Google or Yahoo! Finance. Additionally, you will gain knowledge on accessing macro data from the Federal Reserve and exchange rates from OANDA. In the final part of the course, you will delve into calculating returns for different time periods, analyzing stock performance by sector for IPOs, and conducting correlation calculations and summaries. By the end of this course, you will have acquired the necessary skills to effectively utilize Python for Data Science in the realm of finance, enabling you to analyze and interpret financial data with confidence.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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