Intermediate Python for Finance

Starting at USD 39.00
4 hours duration

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Are you a financial or business analyst seeking a more efficient approach to managing your stock portfolio? Look no further than learning Python, a powerful tool that can automate various financial tasks. By mastering Python, you can streamline processes such as risk calculation, market health assessment, and visualizing stock price trends, ultimately saving valuable time and resources. In this comprehensive course, you will gain proficiency in utilizing Python's data structures, execution control statements, and DataFrames to effectively manipulate financial data. Additionally, you will delve into the world of pandas, leveraging data from the esteemed Federal Reserve Bank to analyze national economic trends—an indispensable aspect of comprehending investment strategies. Furthermore, you will acquire the skills to calculate risk based on stock price data and present this information through easily interpretable plots. By the conclusion of this course, you will emerge as a proficient Python user, equipped to conquer the financial realm of Wall Street.

About Provider

Online Education Provider · 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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