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100% 온라인
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일정에 따라 마감일을 재설정합니다.
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일리노이대학교 어버너-섐페인캠퍼스 로고

일리노이대학교 어버너-섐페인캠퍼스

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This 강좌 is part of the 100% online Master of Science in Accountancy (iMSA) from 일리노이대학교 어버너-섐페인캠퍼스. If you are admitted to the full program, your courses count towards your degree learning.

강의 계획 - 이 강좌에서 배울 내용

1

1

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INTRODUCTION TO THE COURSE

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2개 동영상 (총 5분), 5 개의 읽기 자료
2개의 동영상
About Ronald Guymon2m
5개의 읽기 자료
Syllabus10m
Glossary10m
About the Discussion Forums10m
ePub10m
Update Your Profile10m
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MODULE 1: INTRODUCTION TO ACCOUNTANCY ANALYTICS

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12개 동영상 (총 60분), 1 개의 읽기 자료, 3 개의 테스트
12개의 동영상
1.1.1 History and Future of Accounting6m
1.1.2 The Importance of Data and Analytics in Accounting4m
1.1.3 Humans' Relationship with Data6m
1.1.4 Accountants' Role in Shaping How Data Is Used6m
1.1.5 Data Analytics Tools: Spreadsheets vs. Data Science Languages6m
1.2.1 Advanced Data Analytics in Managerial Accounting Overview5m
1.2.2 Advanced Data Analytics in Auditing Overview4m
1.2.3 Advanced Data Analytics in Financial Accounting Overview7m
1.2.4 Advanced Data Analytics in Taxes Overview3m
1.2.5 Advanced Data Analytics in Systems Accounting Overview4m
Module 1 Conclusion1m
1개의 읽기 자료
Module 1 Overview and Resources10m
3개 연습문제
Lesson 1.1 Knowledge Check
Lesson 1.2 Knowledge Check
Module 1 Quiz
2

2

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MODULE 2: ACCOUNTING ANALYSIS AND AN ANALYTICS MINDSET

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12개 동영상 (총 75분), 1 개의 읽기 자료, 4 개의 테스트
12개의 동영상
2.1.1 Making Room for Empirical Enquiry6m
2.1.2 System 1 vs. System 2 Mindset7m
2.2.1 Linking Core Courses to Analytical Thinking6m
2.2.2 Inductive and Deductive Reasoning7m
2.2.3 Advanced Analytics and the Art of Persuasion7m
2.3.1 FACT Framework: Frame the Question6m
2.3.2 FACT Framework: Assemble the Data8m
2.3.3 FACT Framework: Calculate Results8m
2.3.4 FACT Framework: Tell Others About the Results6m
2.3.5 FACT Framework Review6m
Module 2 Conclusion1m
1개의 읽기 자료
Module 2 Overview and Resources10m
4개 연습문제
Lesson 2.1 Knowledge Check
Lesson 2.2 Knowledge Check30m
Lesson 2.3 Knowledge Check30m
Module 2 Quiz
3

3

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MODULE 3: DATA AND ITS PROPERTIES

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12개 동영상 (총 57분), 1 개의 읽기 자료, 3 개의 테스트
12개의 동영상
3.1.1 Characteristics that Make Data Useful for Decision Making6m
3.2.1 Structured vs. Unstructured Data6m
3.2.2 Properties of a Tidy Dataframe4m
3.2.3 Data Types5m
3.2.4 Data Dictionaries4m
3.3.1 Wide Data vs. Long Data4m
3.3.2 Merging Data4m
3.3.3 Data Automation1m
3.4.1 Visualization Distributions6m
3.4.2 Visualizing Data Relationships5m
Module 3 Conclusion1m
1개의 읽기 자료
Module 3 Overview and Resources10m
3개 연습문제
Lesson 3.2 Knowledge Check30m
Lesson 3.4 Knowledge Check30m
Module 3 Quiz
4

4

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MODULE 4: DATA VISUALIZATION 1

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17개 동영상 (총 103분), 1 개의 읽기 자료, 5 개의 테스트
17개의 동영상
4.1.1 Why Visualize Data?7m
4.1.2 Visual Perception Principles6m
4.1.3 Data Visualization Building Blocks9m
4.2.1 Basic Chart Data2m
4.2.2 Scatter Plots9m
4.2.3 Bar Charts7m
4.2.4 Box and Whisker Plots5m
4.2.5 Line Charts6m
4.2.6 Maps5m
4.3.1 Financial Chart Data5m
4.3.2 Waterfall Charts6m
4.3.3 Candlestick Charts6m
4.3.4 Treemaps and Sunburst Charts6m
4.3.5 Sparklines and Facets5m
4.3.6 Charts to Use Sparingly8m
Module 4 Conclusion2m
1개의 읽기 자료
Module 4 Overview and Resources10m
4개 연습문제
Lesson 4.1 Knowledge Check
Lesson 4.2 Knowledge Check
Lesson 4.3 Knowledge Check
Module 4 Quiz

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INTRODUCTION TO ACCOUNTING DATA ANALYTICS AND VISUALIZATION의 최상위 리뷰

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