Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Balance sheets, income statements, and cash flow statements are financial statements nearly every major company uses. These statements contain a plethora of information about a company's financial position. This four-hour course will lay the groundwork you need to start analyzing financial statements in Python to understand a company's financial position in-depth.
You’ll begin by learning how to read financial statements—the first step in learning how to analyze them. Next, you'll practice computing some of the most common financial ratios from the statements using pandas - a powerful Python data manipulation and analysis tool.
You'll also learn how to use different functionalities of pandas to compare the financial ratios of companies and assess their financial health.
'Data in the wild' is riddled with missing values. In this course, you'll practice dealing with missing financial information through interactive exercises. You’ll also learn how to present your analysis using data visualization—another essential skill in financial analysis.
One of the great things about using Python for analyzing financial statements compared to standard spreadsheets is that you can reduce repetitive work. By writing your own functions in Python, you’ll learn to make your analysis faster and more efficient by reducing repetition.
Balance sheets, income statements, and cash flow statements are financial statements nearly every major company uses. These statements contain a plethora of information about a company's financial position. This four-hour course will lay the groundwork you need to start analyzing financial statements in Python to understand a company's financial position in-depth.
You’ll begin by learning how to read financial statements—the first step in learning how to analyze them. Next, you'll practice computing some of the most common financial ratios from the statements using pandas - a powerful Python data manipulation and analysis tool.
You'll also learn how to use different functionalities of pandas to compare the financial ratios of companies and assess their financial health.
'Data in the wild' is riddled with missing values. In this course, you'll practice dealing with missing financial information through interactive exercises. You’ll also learn how to present your analysis using data visualization—another essential skill in financial analysis.
One of the great things about using Python for analyzing financial statements compared to standard spreadsheets is that you can reduce repetitive work. By writing your own functions in Python, you’ll learn to make your analysis faster and more efficient by reducing repetition.
