1. Well done!
Congratulations! You have made it to the end of this course.
2. Summary
In this course, you learned how to read and analyze financial ratios from the balance sheet, income statement, and cash flow statement, the main financial statements, using modern tools in Python like pandas and Seaborn. You also learned about profitability metrics and how to analyze profitability visually using Seaborn.
3. Summary
In Chapter 1, you learned about the ratios that can be computed using information from the balance sheet, and how to compute the relative difference between ratios.
In Chapter 2, you learned about the financial ratios from the income statement and balance sheet. You also learned how to reduce repetitive work by using user-defined functions and visualize ratios for within company analysis.
4. Summary
In Chapter 3, you learned about financial ratios from the three main financial statements. You also covered how to load JSON data into Python, impute missing values in the data, merge DataFrames and visualize ratios for a between company analysis.
5. Summary
Finally, Chapter 4 was all about profitability. You learned about profitability metrics, what drives the differences in ratios between different industries and you also learned many methods of visualization to analyze a company's profitability.
6. Recommended courses for the future
Now that you know about financial statements, you can build upon this knowledge! Courses on data science will help you gain cool skills like predicting the profitability of companies and even their share prices! Courses on PowerBI, a very powerful visualization tool, will build upon your newly gained visualization skills and further improve them. Unlike plots with Seaborn, where the image is static, images with PowerBI can also be made interactive, which is invaluable in business presentations!
7. Let's practice!
No more practice now. ;) :P