This course focuses on using Python for financial data analysis, as it’s becoming the leading programming language for data science due to its simplicity and readability. It covers both Python coding and statistical concepts and shows their application in analyzing stock data. The course is set up with a Jupyter Notebook environment, allowing for hands-on coding practice without the need for additional installations.
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Frequently asked questions
The course assumes that you have some basic knowledge of Python programming and statistics. However, if you don’t have any experience with either of these topics, don’t worry! The course will start with a review of the basics, so you’ll be able to catch up quickly.
The course will teach you how to use Python and statistics to analyze financial data. You’ll learn how to import, manipulate, and visualize financial data, as well as how to build financial models using Python. You’ll also learn how to evaluate the performance of financial models.
There are many benefits to taking the course on Python and Statistics for Financial Analysis. First, you’ll learn how to use Python and statistics to analyze financial data. This is a valuable skill that can be used in a variety of financial jobs. Second, you’ll gain a deeper understanding of financial concepts. Third, you’ll be able to build your own financial models. This can help you to make better financial decisions.