Course
Financial Forecasting in Python
IntermediateSkill Level
Updated 12/2021PythonApplied Finance4 hr12 videos49 Exercises4,050 XP13,051Statement of Accomplishment
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Prerequisites
Introduction to PythonIntermediate Python1
Income statements
In this chapter, we will learn the basics of financial statements, with a specific focus on the income statement, which provides details on our sales, costs, and profits. We will learn how to calculate profitability metrics and finish off what we have learned by building our profit forecast for Tesla!
2
Balance sheet and forecast ratios
In this chapter, we will learn a bit more about the balance sheet, covering assets and liabilities and specific ratios to help evaluate the financial health and efficiency of a company, as well as how these ratios can assist us in building a great forecast.
3
Formatting raw data, managing dates and financial periods
We have gotten a basic understanding of income statements and balance sheets. However, consolidating data for forecasting is complex, so in this chapter, we will look at some basic tools to help solve some of the complexities specifically relating to finance - working with dates and different financial periods, and formatting our raw data into the correct format for financial forecasting.
4
Assumptions and variances in forecasts
In this chapter, we will be exploring two more aspects to creating a good forecast. First, we will look at assumptions, what drives them and what happens when an assumption changes? Next, we will look at variances, as a forecast is built at one point in time, but what happens when the actual results do not correspond to our forecast? We need to build a sensitive forecast that can be sensitive to changes in both assumptions and take into account variances, and this is what we will explore in this chapter.
Financial Forecasting in Python
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FAQs
What real company datasets are used in Financial Forecasting in Python?
You will work with real-life datasets from Netflix, Tesla, and Ford, using pandas to calculate financial metrics and build forecasts.
Do I need a finance background to take this course?
No. The course is beginner-level and teaches the basics of income statements and balance sheets. You only need Intermediate Python as a prerequisite.
What financial statements will I learn to work with?
You will learn about income statements covering sales, costs, and profits, as well as balance sheets covering assets, liabilities, and financial health ratios.
Does the course cover how to handle changing assumptions in a forecast?
Yes. Chapter 4 teaches you to build sensitive forecasts that respond to changes in assumptions and to analyze variances when actual results differ from predictions.
Will I build a complete financial forecast by the end?
Yes. You will build a profit forecast for Tesla and learn to handle dates, financial periods, raw data formatting, assumptions, and variances throughout the course.
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