課程信息
4.5
4 個評分
1 個審閱
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為48 小時

建議:6 hours/week...
可選語言

英語(English)

字幕:英語(English)
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為48 小時

建議:6 hours/week...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 1 小時

Course Orientation

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course....
Reading
2 個視頻 (總計 8 分鐘), 4 個閱讀材料, 1 個測驗
Video2 個視頻
Meet Professor Brunner4分鐘
Reading4 個閱讀材料
Syllabus10分鐘
About the Discussion Forums10分鐘
Updating Your Profile10分鐘
Social Media10分鐘
Quiz1 個練習
Orientation Quiz10分鐘
完成時間(小時)
完成時間為 8 小時

Module 1: Foundations

This module serves as the introduction to the course content and the course Jupyter server, where you will run your analytics scripts. First, you will read about specific examples of how analytics is being employed by Accounting firms. Next, you will learn about the capabilities of the course Jupyter server, and how to create, edit, and run notebooks on the course server. After this, you will learn how to write Markdown formatted documents, which is an easy way to quickly write formatted text, including descriptive text inside a course notebook. Finally, you will begin learning about Python, the programming language used in this course for data analytics....
Reading
5 個視頻 (總計 29 分鐘), 2 個閱讀材料, 2 個測驗
Video5 個視頻
The Importance of Data Analytics in Modern Accountancy3分鐘
Introduction to the Course JupyterHub Server7分鐘
Introduction to Markdown5分鐘
Introduction to Python8分鐘
Reading2 個閱讀材料
Module 1 Overview10分鐘
Lesson 1-1 Readings10分鐘
Quiz1 個練習
Module 1 Graded Quiz20分鐘
2
完成時間(小時)
完成時間為 8 小時

Module 2: Introduction to Python

This module focuses on the basic features in the Python programming language that underlie most data analytics scripts. First, you will read about why accounting students should learn to write computer programs. Second, you will learn about basic data structures commonly used in Python programs. Third, you will learn how to write functions, which can be repeatedly called, in Python, and how to use them effectively in your own programs. Finally, you will learn how to control the execution process of your Python program by using conditional statements and looping constructs. At the conclusion of this module, you will be able to write Python scripts to perform basic data analytic tasks....
Reading
5 個視頻 (總計 29 分鐘), 2 個閱讀材料, 2 個測驗
Video5 個視頻
Why Accounting Students Should Learn to Code4分鐘
Python Data Structures7分鐘
Introduction to Python Functions5分鐘
Python Programming Concepts6分鐘
Reading2 個閱讀材料
Module 2 Overview10分鐘
Lesson 2-1 Readings10分鐘
Quiz1 個練習
Module 2 Graded Quiz20分鐘
3
完成時間(小時)
完成時間為 8 小時

Module 3: Introduction to Data Analysis

This module introduces fundamental concepts in data analysis. First, you will read a report from the Association of Accountants and Financial Professionals in Business that explores Big Data in Accountancy. Next, you will learn about the Unix file system, which is the operating system used for most big data processing (as well as Linux and Mac OSX desktops and many mobile phones). Second, you will learn how to read and write data to a file from within a Python program. Finally, you will learn about the Pandas Python module that can simplify many challenging data analysis tasks, and includes the DataFrame, which programmatically mimics many of the features of a traditional spreadsheet....
Reading
5 個視頻 (總計 29 分鐘), 2 個閱讀材料, 2 個測驗
Video5 個視頻
Why Use Python Instead of Excel?3分鐘
Introduction to Unix6分鐘
Python File I/O7分鐘
Introduction to Pandas6分鐘
Reading2 個閱讀材料
Module 3 Overview10分鐘
Lesson 3-1 Readings10分鐘
Quiz1 個練習
Module 3 Graded Quiz20分鐘
4
完成時間(小時)
完成時間為 8 小時

Module 4: Statistical Data Analysis

This module introduces fundamental concepts in data analysis. First, you will read about how to perform many basic tasks in Excel by using the Pandas module in Python. Second, you will learn about the Numpy module, which provides support for fast numerical operations within Python. This module will focus on using Numpy with one-dimensional data (i.e., vectors or 1-D arrays), but a later module will explore using Numpy for higher-dimensional data. Third, you will learn about descriptive statistics, which can be used to characterize a data set by using a few specific measurements. Finally, you will learn about advanced functionality within the Pandas module including masking, grouping, stacking, and pivot tables....
Reading
5 個視頻 (總計 33 分鐘), 2 個閱讀材料, 2 個測驗
Video5 個視頻
How the Pandas Module Can Support Standard Business Analytics2分鐘
Introduction to Numpy8分鐘
Introduction to Descriptive Statistics10分鐘
Advanced Pandas8分鐘
Reading2 個閱讀材料
Module 4 Overview10分鐘
Lesson 4-1 Readings10分鐘
Quiz1 個練習
Module 4 Graded Quiz20分鐘

講師

Avatar

Robert Brunner

Professor
Accountancy
Graduation Cap

立即開始攻讀碩士學位

此 課程 隸屬於 University of Illinois at Urbana-Champaign 提供的 100% 在線 Master of Science in Accountancy (iMSA)。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。

關於 University of Illinois at Urbana-Champaign

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. ...

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您购买证书后,将有权访问所有课程材料,包括评分作业。完成课程后,您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心