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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/applying-data-analytics-accounting
课程评论：没有评论
课程名称：在会计中应用数据分析 概述：本课程探讨了在会计领域中商业分析的应用。首先，它介绍了会计中技术主题的概述，包括流程挖掘、区块链以及在审计、税务和保证中的应用。接着，课程利用R和Alteryx探索了审计和控制测试中的可视化和基本分析。随后，课程考察了文本分析在会计中的用途，并使用R和RStudio进行文本分析。最后，课程一般性地考察了机器人流程自动化（RPA），并介绍了其在会计中的应用。 大纲： 1. **模块1：会计中分析主题的概述** - 本模块提供会计与数据分析及新技术进展之间相互作用的广泛概述。我们首先理解会计的定义及其所处的环境，随后介绍会计技术的近期趋势。模块最后讨论了会计中的三个重要主题：网络安全、流程挖掘和区块链。 2. **模块2：控制与审计** - 本模块介绍与审计相关的重要概念。我们首先回顾审计员可以使用的不同技术，以提高审计的有效性和效率。接着，我们考察错误或欺诈发生的原因，并讨论如何设置内部控制以防止错误陈述。最后，通过使用真实数据集在Alteryx Designer和RStudio中演示控制测试的工作流程。 3. **模块3：会计中的文本处理与分析** - 财务报表中数字随处可见，但会计不仅仅是数字。此模块讨论了会计披露和其他会计信息中的文本可能包含的有用信息，并演示如何使用R实现基本的自然语言处理（NLP）流程。 4. **模块4：会计中的机器人流程自动化** - 会计师的工作中有许多标准化和单调的任务。本模块介绍了可以用于自动化这些日常任务的机器人流程自动化（RPA）。我们首先查看RPA的定义及其在自动化连续体中的位置，然后考察适合进行RPA的任务、实施RPA的步骤以及使用RPA的优缺点。最后，我们将讨论RPA对会计的影响，并通过UiPath演示RPA的应用。 本课程为希望在会计领域中应用数据分析技能的学习者提供了全面的视角和实践经验。
Name:MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING
Description:In this module, we provide a broad overview of the role of accounting as it interacts with data analytics and new technological advances. We begin by understanding what accounting is and the environment surrounding it. We then introduce you to the recent trends in the technology of accounting. We conclude the module with a discussion of three important topics in accounting: cybersecurity, process mining, and blockchain.
Name:MODULE 2: CONTROLS AND AUDITING
Description:This module introduces you to important concepts related to auditing. We begin by reviewing the different types of technology that can be used by the auditors to increase the effectiveness and efficiency of audits. We then examine how and why mistakes or fraud occur. We also discuss how internal controls can be placed to prevent misstatements. Finally, we demonstrate the control test workflow using a real-world dataset in both Alteryx Designer and RStudio.
Name:MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING
Description:Numbers are everywhere in the financial statements. However, accounting is also about more than numbers. In this module, we discuss how text in accounting disclosure and other accounting information can contain useful information. We also demonstrate how to implement a basic natural language processing (NLP) pipeline using R.
Name:MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING
Description:Accountants do many things that are standardized and mundane. This module introduces you to robotic process automation (RPA) that can be used to automate those routine tasks. We begin by looking at the definition of RPA and where it stands in the automation continuum. We then examine suitable tasks for RPA, steps in implementing RPA, and pros and cons associated with using RPA. We will also discuss the effect of RPA on accounting. We conclude the module with a demonstration of RPA using UiPath.
This course explores business analytic applications in accounting. First, it presents a survey of technology topics in accounting, including process mining, blockchain and applications in audit, tax, and assurance. Next, the course explores visualization and basic analytics in audit and control testing using R and Alteryx. Next, the course examines the uses of text analysis in accounting and conducts text analysis using R and RStudio. Finally, the course examines robot process automation in general using UiPath and its applications in accounting.
