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University of Pennsylvania

Finance & Quantitative Modeling for Analysts

University of Pennsylvania via Coursera Specialization

Overview

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The role of an Analyst is dynamic, complex, and driven by a variety of skills. These skills range from a basic understanding of financial statement data and non-financial metrics that can be linked to financial performance, to a deeper dive into business and financial modeling. Analysts also utilize spreadsheet models, modeling techniques, and common investment analysis application as part of their toolkit to make informed financial decisions and investments. This multifaceted specialization will equip a learner who might be interested in entering the dynamic world of data and business analysis, and/or is interested gaining deeper technical knowledge in Finance and Quantitative Modeling. Starting from the fundamentals of quantitative modeling, you will learn how to put data to work by using spreadsheets and leverage spreadsheets as a powerful, accessible data analysis tool. You will also be introduced to the world of corporate finance, and gain a better understanding of finance fundamentals, including a variety of real-world situations spanning personal finance, corporate decision-making and financial intermediation.

Syllabus

  • Course 1: Fundamentals of Quantitative Modeling
  • Course 2: Introduction to Spreadsheets and Models
  • Course 3: Financial Acumen for Non-Financial Managers
  • Course 4: Introduction to Corporate Finance

Courses

Taught by

Christopher D. Ittner, Don Huesman, Michael R Roberts, Richard Lambert and Richard Waterman

Reviews

5.0 rating, based on 1 Class Central review

4.5 rating at Coursera based on 17043 ratings

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  • Anonymous
    The subject is well-designed and easy to understand. The topics are relevant and helpful in building basic finance and analytical knowledge. Concepts are explained in a clear manner, which makes learning smooth. The online platform is user-friendly and easy to navigate. Study materials are properly organised and accessible anytime. Online sessions are convenient and save time. Overall, the subject content and the online platform together provide a good learning experience and support effective understanding of the subject.

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