Analyzing Financial Statements in Python

Starting at USD 39.00
4 hours duration

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

This course focuses on using Python to analyze financial statements, including balance sheets, income statements, and cash flow statements. These statements provide valuable information about a company's financial position. Throughout this four-hour course, participants will gain the necessary skills to analyze financial statements in Python and gain a comprehensive understanding of a company's financial position. The course begins by teaching participants how to read financial statements, which is the first step in analyzing them. Participants will then learn how to compute common financial ratios using pandas, a powerful Python data manipulation and analysis tool. They will also explore various functionalities of pandas to compare financial ratios between companies and evaluate their financial health. Dealing with missing financial information is a common challenge when working with real-world financial data. This course provides interactive exercises to practice handling missing values in financial analysis. Additionally, participants will learn how to present their analysis using data visualization, an essential skill in financial analysis. One of the advantages of using Python for financial statement analysis is the ability to reduce repetitive work. Participants will learn how to write their own functions in Python, enabling them to streamline their analysis and improve efficiency by minimizing repetition.

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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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