課 程 概 述
Course Description

課程編碼
Course Code
中文課程名稱
Course Name (Chinese)
英文課程名稱
Course Name (English)
總學分數
Credits
總時數
Hours
AB03904 會計數據分析與資料視覺化 Introduction to Accounting Data Analytics and Visualization 1.0 1
中文概述
Chinese Description
備註:e (e為線上課程代碼) 本課程將被分成三個部分。首先對會計資料分成五個子領域:金融、管理、審計、稅務、會計系統,並各自針對子領域資料特性作介紹。接著以FACT的架構來建構會計數據分析的訓練:建構問題 (Frame a question)、蒐集資料 (Assemble data)、計算數據 (Calculate the data)、說明並解釋分析結果 (Tell others about the data)。第二部分將強調資料蒐集的重要性,因為只有對的資料才能做出有效的計算與對的解釋。第三部分是本課程最重要的部分,將強調如何使用工具來進行資料視覺化,例如 Excel、Visual Basic、Python、R,並介紹如何使用這些工具來進行分析,例如迴歸分析。 此課程為線上課程,開課平台為coursera,網址:https://www.coursera.org/learn/intro-accounting-data-analytics-visual
英文概述
English Description
The course is divided into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. In the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create e

備註:

  1. 本資料係由本校各教學單位、教務處課務組、進修部教務組、進修學院教務組及計網中心所共同提供!
  2. 本資料僅供參考,正式資料仍以教務處、進修部、進修學院所公佈之書面資料為準。