This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.
本課程是 管理经济学和商业分析 專項課程 專項課程的一部分
Exploring and Producing Data for Business Decision Making
課程信息
212,917 次近期查看
學生職業成果
50%
通過此課程獲得實實在在的工作福利
50%
加薪或升職
您將獲得的技能
Data AnalysisMicrosoft ExcelStatistical AnalysisNormal Distribution
學生職業成果
50%
通過此課程獲得實實在在的工作福利
50%
加薪或升職
100% 在線
立即開始，按照自己的計劃學習。
第 5 門課程（共 7 門）
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初級
完成時間大約為23 小時
建議：4 weeks of study, 4-6 hours/week
英語（English）
字幕：英語（English）, 韓語, 阿拉伯語（Arabic）
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 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.
完成時間為 2 小時
2 個視頻 （總計 7 分鐘）, 6 個閱讀材料, 1 個測驗
2 個視頻
Excel Data Analysis Toolpak1分鐘
6 個閱讀材料
Syllabus10分鐘
ePub10分鐘
About the Discussion Forums4分鐘
Glossary5分鐘
Using Excel for this Course10分鐘
Updating Your Profile10分鐘
1 個練習
Orientation Quiz30分鐘
完成時間為 5 小時
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.
完成時間為 5 小時
11 個視頻 （總計 63 分鐘）, 2 個閱讀材料, 6 個測驗
11 個視頻
1-2.1. Summarizing Data: Frequency Tables7分鐘
1-2.2. Frequency Tables in Excel: Quantitative Data6分鐘
1-2.3. Frequency Tables in Excel: Qualitative Data6分鐘
1-2.4. Presenting Frequency Tables as a Bar Graph in Excel2分鐘
1-3.1. Summarizing Data: Histograms5分鐘
1-3.2. Histograms in Excel7分鐘
1-4.1. Summarizing Data: Pie Charts4分鐘
1-4.2. Pie Charts in Excel5分鐘
1-5.1. Summarizing Data: Scatter Plots4分鐘
1-5.2. Scatter Plots in Excel4分鐘
2 個閱讀材料
Module 1 Overview3分鐘
Module 1 Readings45分鐘
6 個練習
Lesson 1-1 Practice Quiz30分鐘
Lesson 1-2 Practice Quiz30分鐘
Lesson 1-3 Practice Quiz30分鐘
Lesson 1-4 Practice Quiz30分鐘
Lesson 1-5 Practice Quiz30分鐘
Module 1 Quiz30分鐘
完成時間為 7 小時
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.
完成時間為 7 小時
16 個視頻 （總計 107 分鐘）, 2 個閱讀材料, 7 個測驗
16 個視頻
2-1.2. Mean and Median in Excel3分鐘
2-2.1. Measures of Dispersion9分鐘
2-2.2. Standard Deviation in Excel2分鐘
2-3.1. Percentiles and Z-Score13分鐘
2-3.2. Z-Score in Excel5分鐘
2-4.1. Discrete and Continuous Random Variables11分鐘
2-4.2. Expected Value in Excel6分鐘
2-5.1. Normal Distribution10分鐘
2-5.2. Normal Distribution in Excel5分鐘
2-5.3. Standard Normal Distribution in Excel4分鐘
2-5.4. "Less Than" in Excel1分鐘
2-5.5. "Greater Than" in Excel1分鐘
2-5.6. "Between Values" in Excel1分鐘
2-5.7. Finding Z for a Given Probability (INV) in Excel3分鐘
2-6.1. Standard Normal Distribution Table14分鐘
2 個閱讀材料
Module 2 Overview3分鐘
Module 2 Readings1 小時 15 分
7 個練習
Lesson 2-1 Practice Quiz30分鐘
Lesson 2-2 Practice Quiz30分鐘
Lesson 2-3 Practice Quiz30分鐘
Lesson 2-4 Practice Quiz30分鐘
Lesson 2-5 Practice Quiz30分鐘
Lesson 2-6 Practice Quiz30分鐘
Module 2 Quiz30分鐘
完成時間為 5 小時
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.
完成時間為 5 小時
7 個視頻 （總計 63 分鐘）, 2 個閱讀材料, 6 個測驗
7 個視頻
3-2.1. Sampling14分鐘
3-2.2 Sampling Function in Excel6分鐘
3-3.1. Central Limit Theorem and Sampling Means9分鐘
3-3.2. Animating the Central Limit Theorem6分鐘
3-3.3. Sampling Distribution and Empirical Rule in Excel11分鐘
3-4.1. Central Limit Theorem – Sampling Proportion5分鐘
2 個閱讀材料
Module 3 Overview3分鐘
Module 3 Readings30分鐘
5 個練習
Lesson 3-1 Practice Quiz30分鐘
Lesson 3-2 Practice Quiz30分鐘
Lesson 3-3 Practice Quiz30分鐘
Lesson 3-4 Practice Quiz30分鐘
Module 3 Quiz30分鐘
完成時間為 5 小時
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.
完成時間為 5 小時
12 個視頻 （總計 97 分鐘）, 2 個閱讀材料, 5 個測驗
12 個視頻
4-2.1. Confidence Interval for Means9分鐘
4-2.2. Confidence Interval for Mean in Excel8分鐘
4-2.3. Impact of Confidence Level Illustrated in Excel4分鐘
4-3.1. Confidence Interval for Population Proportion10分鐘
4-3.2. Confidence Interval for Population Proportion in Excel8分鐘
4-3.3. Confidence Interval Animation in Excel5分鐘
4-3.4. Starting Salary Example in Excel7分鐘
4-4.1. Sample Size9分鐘
4-4.2. Sample Size Proportion in Excel3分鐘
4-4.3. Sample Size Mean in Excel7分鐘
4-4.4. Sample Size Effect in Excel5分鐘
2 個閱讀材料
Module 4 Overview3分鐘
Module 4 Readings20分鐘
5 個練習
Lesson 4-1 Practice Quiz30分鐘
Lesson 4-2 Practice Quiz30分鐘
Lesson 4-3 Practice Quiz30分鐘
Lesson 4-4 Practice Quiz30分鐘
Module 4 Quiz30分鐘
審閱
4.8
來自EXPLORING AND PRODUCING DATA FOR BUSINESS DECISION MAKING的熱門評論
由 DA 提供May 14, 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!
由 RD 提供Jun 1, 2019
Very useful for beginners as well as anyone interested in learning some basics. Highly recommended for managers and people trying to figure out what insights can be obtained form data
由 EW 提供Apr 18, 2019
This professor does an exceptional job of breaking down complex concepts and calculations without diluting the material. The statistical examples are highly relevant and interesting.
由 AO 提供Aug 8, 2019
The videos were very explicit and I could practically assimilate the teachings. This also has helped in my career and the skills acquired are been applied appropriately.
由 RS 提供Apr 20, 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.
由 ZO 提供Apr 22, 2017
I gained useful insight on data analysis from this course that directly applies to work that I am doing on assessing the accuracy of a new measurement method.
由 ZS 提供May 22, 2017
Excellent production and highly effective teaching! Anyone who deal with number-based business decision making should take this course. Thanks!
由 AM 提供Oct 22, 2017
Both courses about statistics are great. A lot of useful information and professor gives very detailed explanations with useful examples.
由 JF 提供Apr 3, 2019
I really enjoyed the course. The professor explained the topics very clearly and made a difficult topic very interesting and compelling.
由 AP 提供Sep 18, 2017
A well-planned course for beginners in Decision Support Systems, I would recommend this course to my peers and students !\n\nThanks
由 M 提供Feb 8, 2020
The course was very helpful Fataneh Taghaboni-Dutta has an excellent understanding of the course and explained it well thank you!
由 CS 提供May 14, 2019
Great lectures and great examples and everything in this course worked correctly, unlike in other Coursera courses I have taken.
由 YY 提供Jun 30, 2019
A good intro course for beginner. For engineers who already took statistical course at school, this course is a little simple.
由 NM 提供Jun 24, 2019
What can I say, this course is amazing! Ms. Fataneh you will be missed, I hope to find more courses you teach in the future!
由 BT 提供Apr 5, 2019
Tough, but provides excellent examples along the way that are broken down to create understanding. Very informative course!
由 HP 提供Aug 23, 2017
A very well taught course. Prof. Fataneh Taghaboni-Dutta is one of the best professors on the Coursera platform.
由 JP 提供Apr 7, 2019
Good intro to statistical foundations. Would be great if all questions that involve Excel were in one Excel file
由 LY 提供Apr 9, 2019
This is a very informative course. Easy to follow and understand. Lots of real examples. Strong recommendation.
由 MM 提供Jan 7, 2018
Clear direction and easy to follow. Great intro to implementing a statistical approach in data analyses.
由 MW 提供Dec 15, 2019
This is a very useful class, the professor can explain the complex topics in an easy way. Thanks a lot.
提供方
伊利诺伊大学香槟分校
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.
立即開始攻讀碩士學位
此 課程 隸屬於 伊利诺伊大学香槟分校 提供的 100% 在線 Master of Business Administration (iMBA)。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 管理经济学和商业分析 專項課程
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.
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