The Language and Tools of Financial Analysis

The Language and Tools of Financial Analysis

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课程
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英语
16 时
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  • 来自www.coursera.org
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  • 4 序列
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课程详情

教学大纲

  • Week 1 - An Introduction to Accounting Principles: The Language of Capital Markets
    This week we will define and explain the key financial statements produced by a company and reported to its shareholders. We will discuss the different core elements within those statements following basic accounting principles with the discussion framed in re...
  • Week 2 - An Intuition-based Introduction to Financial Analysis
    Understanding the importance and the accounting principles underpinning the key financial statements of a company, we now turn our attention to synthesizing and condensing the financial statement information for the purpose of financial analysis. Specifically,...
  • Week 3 - The Links Between Accounting Principles and Financial Decision-making
    Having established initial basic financial analyst's toolset in the first two weeks of this course, some caution is warranted as we turn our attention to some of the pitfalls associated with uncritical use of financial statements by analysts. Specifically, we ...
  • Week 4 - Value Measurement via Discounted Cash Flow Analysis
    Having identified the key elements of a company's financial statements, and the way in which information from these statements can be utilized in financial analysis, we shift our focus this week to discounted cash flow (DCF) analysis. Sound financial decision-...

先决条件

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讲师

Paul Kofman
Dean, Faculty of Business and Economics
Sidney Myer Chair of Commerce

Sean Pinder
Associate Professor
Faculty of Business and Economics

编辑

The University of Melbourne is an internationally recognised research intensive University with a strong tradition of excellence in teaching, research, and community engagement. Established in 1853, it is Australia's second oldest University.

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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