Training

A recent CFA Institute report from May of 2019 titled the "Investment Professional of the Future" highlights that some of the largest trends impacting finance professionals going forward include machine learning, big data analytics, and the utilization of alternative data sources for portfolio construction and analysis.  Furthermore, the report emphasizes the significance of the interaction…

The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average. Finance companies that want to maximize use of this available data require professionals who have a keen understanding of data science and know how…

This course focuses on the mergers and acquisitions process, the basics of deal structures, and covers the main tools and analyses that M&A investment bankers and acquirers utilize. Learn about common ​​structural issues, crucial merger consequence analysis and structures and methodologies. Translate fundamentals into different modeling techniques, including the most basic and widely used back-of-the-envelope…

Course Goals: This course focuses on how to effectively and efficiently utilize Microsoft Excel for data analysis. A financial analyst will not only use Excel to build financial models, but also to crunch a large data dump. Learn how to minimize as much manual labor as possible, thereby saving time and performing more detailed analysis…