FP&A professionals require a cross-functional understanding of accounting, finance, corporate strategy, and industry dynamics. This virtual training program is designed to fill the knowledge gaps we’ve seen FP&A and corporate finance professionals, covering the following topics: The Power & Art of Business Modeling in FP&A Data Visualization & Storytelling Outputs & Variance Analysis Scenarios & Sensitivities…
Python is a high-level, object-oriented programming language that is used in a variety of projects ranging from data science and machine learning to backend web development. In fact, it is one of the most in-demand programming languages today. Learning Python is a great entry point into the technical world as the syntax is much easier…
Python is a high-level, object-oriented programming language that is used in a variety of projects ranging from data science and machine learning to backend web development. In fact, it is one of the most in-demand programming languages today. Learning Python is a great entry point into the technical world as the syntax is much easier…
CFA Society Washington, DC is pleased to offer, in partnership with Wall Street Prep, one of Wall Street Prep's most popular courses to equip busy professionals and students with the financial skills they need on the job. During this intensive 3-day training, participants will learn financial and valuation modeling in Excel using a hands-on, case-study…
Now offering two popular courses bundled together: Introduction to Python & Introduction to Data Science! Introduction to Python Tuesday, October 29, 2019 from 9 AM - 5 PM Course Overview: Python is a high-level, object-oriented programming language that is used in a variety of projects ranging from data science and machine learning to backend web…
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…
Although the blockchain is most commonly known as being the technology behind Bitcoin, blockchain’s reach and scope has much broader applications beyond just cryptocurrencies and speculative manias. Distributed ledger and blockchain based projects are quickly establishing themselves as preeminent forces in information technology. The ascent of the blockchain has the potential to be one of…
Collaborate, learn, and interact with an instructor that is teaching in a real-time, virtual environment. All participants will interact via video conference call. Course Goals and Overview: This hands-on data science course is a sequel to the Introduction to Data Science for Finance workshop. Advanced Data Science for Finance will provide an overview of modern…
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…
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