课程信息
4.8
231 个评分
55 个审阅
专项课程
100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为20 小时

建议:4 weeks of study, 4-6 hours/week...
可选语言

英语(English)

字幕:英语(English), 阿拉伯语(Arabic)

您将获得的技能

Data AnalysisMicrosoft ExcelStatistical AnalysisNormal Distribution
专项课程
100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为20 小时

建议:4 weeks of study, 4-6 hours/week...
可选语言

英语(English)

字幕:英语(English), 阿拉伯语(Arabic)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 1 小时

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 个视频 (总计 7 分钟), 6 个阅读材料, 1 个测验
Video2 个视频
Excel Data Analysis Toolpak1分钟
Reading6 个阅读材料
Syllabus10分钟
About the Discussion Forums4分钟
Glossary5分钟
Using Excel for this Course10分钟
Updating Your Profile10分钟
Social Media4分钟
Quiz1 个练习
Orientation Quiz10分钟
完成时间(小时)
完成时间为 3 小时

Module 1: Introduction and Summarizing Data

Data is all around you, but what is the data telling you? The first step in making better decisions and taking action is to get a good understanding of information you have gathered. In this module we will learn about some of the tools in statistics that help us achieve this....
Reading
11 个视频 (总计 63 分钟), 2 个阅读材料, 6 个测验
Video11 个视频
1-2.1. Summarizing Data: Frequency Tables7分钟
1-2.2. Frequency Tables in Excel: Quantitative Data6分钟
1-2.3. Frequency Tables in Excel: Qualitative Data6分钟
1-2.4. Presenting Frequency Tables as a Bar Graph in Excel2分钟
1-3.1. Summarizing Data: Histograms5分钟
1-3.2. Histograms in Excel7分钟
1-4.1. Summarizing Data: Pie Charts4分钟
1-4.2. Pie Charts in Excel5分钟
1-5.1. Summarizing Data: Scatter Plots4分钟
1-5.2. Scatter Plots in Excel4分钟
Reading2 个阅读材料
Module 1 Overview3分钟
Module 1 Readings45分钟
Quiz6 个练习
Lesson 1-1 Practice Quiz6分钟
Lesson 1-2 Practice Quiz10分钟
Lesson 1-3 Practice Quiz8分钟
Lesson 1-4 Practice Quiz8分钟
Lesson 1-5 Practice Quiz8分钟
Module 1 Quiz38分钟
2
完成时间(小时)
完成时间为 4 小时

Module 2: Descriptive Statistics and Probability Distributions

We all have heard the phrase that a "picture is worth a thousand words," but you certainly don’t want one of those to be "what exactly am I looking at?" So, now that you know to use "pictures" to summarize your data, let’s make those pictures easier to understand....
Reading
16 个视频 (总计 107 分钟), 2 个阅读材料, 7 个测验
Video16 个视频
2-1.2. Mean and Median in Excel3分钟
2-2.1. Measures of Dispersion9分钟
2-2.2. Standard Deviation in Excel2分钟
2-3.1. Percentiles and Z-Score13分钟
2-3.2. Z-Score in Excel5分钟
2-4.1. Discrete and Continuous Random Variables11分钟
2-4.2. Expected Value in Excel6分钟
2-5.1. Normal Distribution10分钟
2-5.2. Normal Distribution in Excel5分钟
2-5.3. Standard Normal Distribution in Excel4分钟
2-5.4. "Less Than" in Excel1分钟
2-5.5. "Greater Than" in Excel1分钟
2-5.6. "Between Values" in Excel1分钟
2-5.7. Finding Z for a Given Probability (INV) in Excel3分钟
2-6.1. Standard Normal Distribution Table14分钟
Reading2 个阅读材料
Module 2 Overview3分钟
Module 2 Readings15分钟
Quiz7 个练习
Lesson 2-1 Practice Quiz6分钟
Lesson 2-2 Practice Quiz8分钟
Lesson 2-3 Practice Quiz6分钟
Lesson 2-4 Practice Quiz6分钟
Lesson 2-5 Practice Quiz6分钟
Lesson 2-6 Practice Quiz6分钟
Module 2 Quiz30分钟
3
完成时间(小时)
完成时间为 5 小时

Module 3: Sampling and Central Limit Theorem

You are charged with analyzing a market segment for your company. You and your team have figured out what variables you need to understand; you also have an idea what factors might be influencing these variables of interest. Now you are ready to do your analysis. But, wait! Where is the data? How do you begin to get the data? In this module we will review the means by which you can begin to produce data – the concepts of sampling and Central Limit Theorem – and will help you understand how to produce "good" sample data and why sample data will work....
Reading
7 个视频 (总计 63 分钟), 2 个阅读材料, 6 个测验
Video7 个视频
3-2.1. Sampling14分钟
3-2.2 Sampling Function in Excel6分钟
3-3.1. Central Limit Theorem and Sampling Means9分钟
3-3.2. Animating the Central Limit Theorem6分钟
3-3.3. Sampling Distribution and Empirical Rule in Excel11分钟
3-4.1. Central Limit Theorem – Sampling Proportion5分钟
Reading2 个阅读材料
Module 3 Overview3分钟
Module 3 Readings30分钟
Quiz5 个练习
Lesson 3-1 Practice Quiz8分钟
Lesson 3-2 Practice Quiz8分钟
Lesson 3-3 Practice Quiz6分钟
Lesson 3-4 Practice Quiz6分钟
Module 3 Quiz44分钟
4
完成时间(小时)
完成时间为 3 小时

Module 4: Inference

You have sample data and have done the analysis – you think you can say something about the population based on your sample study. But, do you have a sense of what are the chances of you being right or wrong? How can you be surer? What else should you have considered? In this module, you will learn how to find the answers to these questions....
Reading
12 个视频 (总计 97 分钟), 2 个阅读材料, 5 个测验
Video12 个视频
4-2.1. Confidence Interval for Means9分钟
4-2.2. Confidence Interval for Mean in Excel8分钟
4-2.3. Impact of Confidence Level Illustrated in Excel4分钟
4-3.1. Confidence Interval for Population Proportion10分钟
4-3.2. Confidence Interval for Population Proportion in Excel8分钟
4-3.3. Confidence Interval Animation in Excel5分钟
4-3.4. Starting Salary Example in Excel7分钟
4-4.1. Sample Size9分钟
4-4.2. Sample Size Proportion in Excel3分钟
4-4.3. Sample Size Mean in Excel7分钟
4-4.4. Sample Size Effect in Excel5分钟
Reading2 个阅读材料
Module 4 Overview3分钟
Module 4 Readings20分钟
Quiz5 个练习
Lesson 4-1 Practice Quiz6分钟
Lesson 4-2 Practice Quiz6分钟
Lesson 4-3 Practice Quiz6分钟
Lesson 4-4 Practice Quiz8分钟
Module 4 Quiz20分钟
4.8
55 个审阅Chevron Right
工作福利

50%

通过此课程获得实实在在的工作福利
职业晋升

50%

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热门审阅

创建者 JYMay 15th 2018

The separation of the concepts and Excel skills made the lessons very easy to navigate. Although I knew the concepts from a previous statistics course, the Excel skills made everything feel like new!

创建者 RSApr 21st 2018

In my opinion, this is a good course. The content really aims at teaching how to better understand and use statistics. In the end, I am glad that I chose this course.

讲师

Avatar

Fataneh Taghaboni-Dutta

Clinical Professor of Business Administration
University of Illinois, Urbana-Champaign College of Business Department of Business Administration
Graduation Cap

立即开始攻读硕士学位

此 课程 隶属于 University of Illinois at Urbana-Champaign 提供的 100% 在线 Master of Business Administration (iMBA)。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。

关于 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. ...

关于 Managerial Economics and Business Analysis 专项课程

In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions. The capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates. This Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program....
Managerial Economics and Business Analysis

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