Automate Financial Forecasting tasks with Python. In this course, Automate Forecasting in Python, you will learn how to automate key steps of the Financial Forecasting process. First, you will learn core Financial Management concepts, including the importance of big data in building a forecast. Next, you will discover how to use Python to collect data from different sources, including external APIs and how to use Python to clean data for use. Finally, you will explore how to ensure your data is up to date using SQLite and Python, and how to visually express your forecast in Python. When you’re finished with this course, you will have the skills and knowledge of building a relevant forecast that is automated by Python. Software required: Juypiter Notebook, SQLite, Python 3.6 or later
Course Overview Hi everyone. My name is Victoria Clark, and welcome to my course, Financial Management: Automate Forecasting in Python. I am a chartered management accountant working in different industries for many years, and one of the biggest topics in my career in the past few years is the topic of big data and how it affects companies when it comes to financial management. In this course, we are going to explore how we can automate data with Python to enable us to build relevant forecasts used in financial management. Some of the major topics that we will cover include the importance of data in building a good forecast, how to collect and convert data with Python, how to keep data up to date with Python and SQLite, and visually expressing our data with Python. By the end of this course, you'll know how to automate your financial forecast from data collection to visual presentation, as well as to understand some cool concepts regarding financial management. Before beginning the course, you should be familiar with Python to an intermediate level, as well as have a basic level of understanding of SQLite database. I hope you'll join me on this journey to learn how to automate your financial forecasting process with the Automate Forecasting in Python course, at Pluralsight.