Finance

Build Business and Financial Models. Use spreadsheet models to make data-driven financial decisions

Build Data Analysis and Business Modeling Skills. Gain the ability to apply statistics and data analysis tools to various business applications.

Python is now becoming the number 1 programming language for data science. Due to python's simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

This specialization is intended for aspiring learners and professionals seeking to hone their skills in the quantitative finance area. Through a series of 5 courses, we will cover derivative pricing, asset allocation, portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading. Those financial engineering topics will prepare you well for resolving related problems, both in the academic and industrial worlds.

In this course, participants will learn the foundations of accounting principles and financial analysis, develop an understanding of the links between these, and the measurement of value creation at the firm level.

In this course, you will learn how to use accounting to facilitate and align decisions made by owners, managers, and employees. You will learn how accountants create, organize, interpret, and communicate information that improves internal processes, and allows organizations to identify and leverage opportunities to create value within the supply chain and with customers.

Through this course, you will start by addressing the two �big questions� of accounting: �What do I have?� and �How did I do over time?� You will see how the two key financial statements _ the balance sheet and the income statement - are designed to answer these questions and then move on to consider how individual transactions aggregate to make up these financial statements.