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.
商业分析 專項課程伊利诺伊大学香槟分校課程信息
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完成後獲得證書
100% 在線
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第 6 門課程（共 6 門）
中級
Prior knowledge and experience with R and RStudio is assumed.
完成時間大約為14 小時
英語（English）
字幕：英語（English）
您將獲得的技能
- Natural Language Processing
- robotic process automation
- Analytics
- Data Analysis
- Accounting Analytics
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 6 門課程（共 6 門）
中級
Prior knowledge and experience with R and RStudio is assumed.
完成時間大約為14 小時
英語（English）
字幕：英語（English）
提供方
伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
立即開始攻讀碩士學位
此 課程 隸屬於 伊利诺伊大学香槟分校 提供的 100% 在線 Master of Business Administration (iMBA)。
如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING
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.
完成時間為 3 小時
16 個視頻 （總計 69 分鐘）, 5 個閱讀材料, 2 個測驗
完成時間為 4 小時
MODULE 2: CONTROLS AND AUDITING
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.
完成時間為 4 小時
18 個視頻 （總計 148 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 3 小時
MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING
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.
完成時間為 3 小時
11 個視頻 （總計 83 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 4 小時
MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING
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.
完成時間為 4 小時
14 個視頻 （總計 110 分鐘）, 4 個閱讀材料, 1 個測驗
關於 商业分析 專項課程
Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.
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