课程信息

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完成时间大约为15 小时
英语(English)
字幕:英语(English)

您将获得的技能

Business AnalyticsR ProgrammingRstudio
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为15 小时
英语(English)
字幕:英语(English)

提供方

伊利诺伊大学香槟分校 徽标

伊利诺伊大学香槟分校

立即开始攻读硕士学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master of Science in Accountancy (iMSA)。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 4 小时

Course Overview and Module 1 Introduction to Business Analytics and R

完成时间为 4 小时
18 个视频 (总计 112 分钟), 5 个阅读材料, 2 个测验
18 个视频
Meet Prof Ron Guymon2分钟
Meet Prof Ashish Khandelwal50
Introduction to Business Analytics and R6分钟
Lesson 1-1.1: Overview of Business Analytics3分钟
Lesson 1-1.2: Examples of Business Analytics5分钟
Lesson 1-1.3: FACT Framework7分钟
Lesson 1-2.1: Introduction to R6分钟
Lesson 1-2.2: Getting Started with R5分钟
Lesson 1-2.3: Calculations with R12分钟
Lesson 1-2.4: Making Your Code Readable4分钟
Lesson 1-3.1: Functions and Using the Built-In Help8分钟
Lesson 1-3.2: Reading and Writing Data12分钟
Lesson 1-3.3: Getting to Know Your Data 14分钟
Lesson 1-3.4: Getting to Know Your Data 27分钟
Lesson 1-3.5: Getting to Know Your Data 35分钟
Lesson 1-3.6: Introduction to Other Data Types12分钟
Module 1 Conclusion1分钟
5 个阅读材料
Syllabus10分钟
About the Discussion Forums10分钟
Glossary10分钟
Module 1 Overview10分钟
Module 1 Readings1小时
2 个练习
Orientation Quiz
Module 1 Quiz30分钟
2

2

完成时间为 3 小时

Module 2 Assembling Data

完成时间为 3 小时
14 个视频 (总计 111 分钟), 2 个阅读材料, 1 个测验
14 个视频
Lesson 2-1.1: Framing a Question6分钟
Lesson 2-1.2: Assembling Data7分钟
Lesson 2-1.3: Calculate the Results9分钟
Lesson 2-2.1: Data Types6分钟
Lesson 2-2.2: Packages9分钟
Lesson 2-2.3: Creating Date Types8分钟
Lesson 2-2.4: Calculations with Dates9分钟
Lesson 2-2.5: Factors9分钟
Lesson 2-2.6: Logical Type and Relational Operators11分钟
Lesson 2-3.1: Conditional Statements7分钟
Lesson 2-3.2: Stacking Data7分钟
Lesson 2-3.3: Loops8分钟
Module 2 Conclusion1分钟
2 个阅读材料
Module 2 Overview10分钟
Module 2 Readings10分钟
1 个练习
Module 2 Quiz30分钟
3

3

完成时间为 4 小时

Module 3 Data Quality and Data Transformation

完成时间为 4 小时
13 个视频 (总计 65 分钟), 2 个阅读材料, 1 个测验
13 个视频
Lesson 3-1: Data Quality4分钟
Lesson 3-2.1: Data Structure based on the Business Problem Part 15分钟
Lesson 3-2.2: Data Structure based on the Business Problem Part 25分钟
Lesson 3-2.3: Subset Data using Filter and Select functions5分钟
Lesson 3-2.4: Useful Operators for Data Manipulation5分钟
Lesson 3-2.5: Creating New Variables using Mutate function3分钟
Lesson 3-2.6: Data Aggregation using Summarize and Group_By functions5分钟
Lesson 3-2.7: Handling Missing Values6分钟
Lesson 3-2.8: Data Join8分钟
Lesson 3-2.9: Long vs Wide Format for Data5分钟
Lesson 3-2.10: Manipulating Strings7分钟
Module 3 Conclusion55
2 个阅读材料
Module 3 Overview10分钟
Module 3 Readings2小时
1 个练习
Module 3 Quiz30分钟
4

4

完成时间为 4 小时

Module 4 Exploratory Data Visualization using R

完成时间为 4 小时
14 个视频 (总计 53 分钟), 2 个阅读材料, 2 个测验
14 个视频
Lesson 4-1: What to Explore in the Data?2分钟
Lesson 4-2: Univariate and Bivariate Exploration2分钟
Lesson 4-3.1: Introduction to the ggplot2 Package3分钟
Lesson 4-3.2: Introduction to ggplot Syntax4分钟
Leson 4-4.1: Univariate Exploration of a Numeric Variable5分钟
Lesson 4-4.2: Univariate Exploration of a Categorical Variable4分钟
Lesson 4-5.1: Visualizing Relationship between two Numeric Variables4分钟
Lesson 4-5.2: Visualizing Relationship between a Numeric and a Categorical Variable5分钟
Lesson 4-5.3: Visualizing Relationship between two Categorical Variables5分钟
Lesson 4-6: Multidimensional Charts6分钟
Lesson 4-7: Introduction to ggplot Builder7分钟
Module 4 Conclusion40
Course Conclusion1分钟
2 个阅读材料
Module 4 Overview10分钟
Module 4 Readings40分钟
1 个练习
Module 4 Graded Quiz30分钟

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