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.
Этот курс входит в специализацию ''Специализация ????????? ?????????? ? ??????-?????? '
Exploring and Producing Data for Business Decision Making
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Приобретаемые навыки
Data AnalysisMicrosoft ExcelStatistical AnalysisNormal Distribution
Карьерные результаты учащихся
50%
получил значимые преимущества в карьере благодаря этому курсу
50%
стал больше зарабатывать или получил повышение
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Курс 5 из 7 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень
Прибл. 23 часа на выполнение
Предполагаемая нагрузка: 4 weeks of study, 4-6 hours/week
Английский
Субтитры: Английский, Корейский, Арабский
Программа курса: что вы изучите
2 ч. на завершение
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.
2 ч. на завершение
2 видео ((всего 7 мин.)), 6 материалов для самостоятельного изучения, 1 тест
2 видео
Excel Data Analysis Toolpak1мин
6 материала для самостоятельного изучения
Syllabus10мин
ePub10мин
About the Discussion Forums4мин
Glossary5мин
Using Excel for this Course10мин
Updating Your Profile10мин
1 практическое упражнение
Orientation Quiz30мин
5 ч. на завершение
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.
5 ч. на завершение
11 видео ((всего 63 мин.)), 2 материалов для самостоятельного изучения, 6 тестов
11 видео
1-2.1. Summarizing Data: Frequency Tables7мин
1-2.2. Frequency Tables in Excel: Quantitative Data6мин
1-2.3. Frequency Tables in Excel: Qualitative Data6мин
1-2.4. Presenting Frequency Tables as a Bar Graph in Excel2мин
1-3.1. Summarizing Data: Histograms5мин
1-3.2. Histograms in Excel7мин
1-4.1. Summarizing Data: Pie Charts4мин
1-4.2. Pie Charts in Excel5мин
1-5.1. Summarizing Data: Scatter Plots4мин
1-5.2. Scatter Plots in Excel4мин
2 материала для самостоятельного изучения
Module 1 Overview3мин
Module 1 Readings45мин
6 практического упражнения
Lesson 1-1 Practice Quiz30мин
Lesson 1-2 Practice Quiz30мин
Lesson 1-3 Practice Quiz30мин
Lesson 1-4 Practice Quiz30мин
Lesson 1-5 Practice Quiz30мин
Module 1 Quiz30мин
7 ч. на завершение
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.
7 ч. на завершение
16 видео ((всего 107 мин.)), 2 материалов для самостоятельного изучения, 7 тестов
16 видео
2-1.2. Mean and Median in Excel3мин
2-2.1. Measures of Dispersion9мин
2-2.2. Standard Deviation in Excel2мин
2-3.1. Percentiles and Z-Score13мин
2-3.2. Z-Score in Excel5мин
2-4.1. Discrete and Continuous Random Variables11мин
2-4.2. Expected Value in Excel6мин
2-5.1. Normal Distribution10мин
2-5.2. Normal Distribution in Excel5мин
2-5.3. Standard Normal Distribution in Excel4мин
2-5.4. "Less Than" in Excel1мин
2-5.5. "Greater Than" in Excel1мин
2-5.6. "Between Values" in Excel1мин
2-5.7. Finding Z for a Given Probability (INV) in Excel3мин
2-6.1. Standard Normal Distribution Table14мин
2 материала для самостоятельного изучения
Module 2 Overview3мин
Module 2 Readings1ч 15мин
7 практического упражнения
Lesson 2-1 Practice Quiz30мин
Lesson 2-2 Practice Quiz30мин
Lesson 2-3 Practice Quiz30мин
Lesson 2-4 Practice Quiz30мин
Lesson 2-5 Practice Quiz30мин
Lesson 2-6 Practice Quiz30мин
Module 2 Quiz30мин
5 ч. на завершение
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.
5 ч. на завершение
7 видео ((всего 63 мин.)), 2 материалов для самостоятельного изучения, 6 тестов
7 видео
3-2.1. Sampling14мин
3-2.2 Sampling Function in Excel6мин
3-3.1. Central Limit Theorem and Sampling Means9мин
3-3.2. Animating the Central Limit Theorem6мин
3-3.3. Sampling Distribution and Empirical Rule in Excel11мин
3-4.1. Central Limit Theorem – Sampling Proportion5мин
2 материала для самостоятельного изучения
Module 3 Overview3мин
Module 3 Readings30мин
5 практического упражнения
Lesson 3-1 Practice Quiz30мин
Lesson 3-2 Practice Quiz30мин
Lesson 3-3 Practice Quiz30мин
Lesson 3-4 Practice Quiz30мин
Module 3 Quiz30мин
5 ч. на завершение
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.
5 ч. на завершение
12 видео ((всего 97 мин.)), 2 материалов для самостоятельного изучения, 5 тестов
12 видео
4-2.1. Confidence Interval for Means9мин
4-2.2. Confidence Interval for Mean in Excel8мин
4-2.3. Impact of Confidence Level Illustrated in Excel4мин
4-3.1. Confidence Interval for Population Proportion10мин
4-3.2. Confidence Interval for Population Proportion in Excel8мин
4-3.3. Confidence Interval Animation in Excel5мин
4-3.4. Starting Salary Example in Excel7мин
4-4.1. Sample Size9мин
4-4.2. Sample Size Proportion in Excel3мин
4-4.3. Sample Size Mean in Excel7мин
4-4.4. Sample Size Effect in Excel5мин
2 материала для самостоятельного изучения
Module 4 Overview3мин
Module 4 Readings20мин
5 практического упражнения
Lesson 4-1 Practice Quiz30мин
Lesson 4-2 Practice Quiz30мин
Lesson 4-3 Practice Quiz30мин
Lesson 4-4 Practice Quiz30мин
Module 4 Quiz30мин
Рецензии
Лучшие отзывы о курсе EXPLORING AND PRODUCING DATA FOR BUSINESS DECISION MAKING
от партнера DAMay 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!
от партнера RDJun 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
от партнера EWApr 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.
от партнера AOAug 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.
от партнера RSApr 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.
от партнера ZOApr 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.
от партнера ZSMay 22, 2017
Excellent production and highly effective teaching! Anyone who deal with number-based business decision making should take this course. Thanks!
от партнера AMOct 22, 2017
Both courses about statistics are great. A lot of useful information and professor gives very detailed explanations with useful examples.
от партнера JFApr 3, 2019
I really enjoyed the course. The professor explained the topics very clearly and made a difficult topic very interesting and compelling.
от партнера APSep 18, 2017
A well-planned course for beginners in Decision Support Systems, I would recommend this course to my peers and students !\n\nThanks
от партнера MFeb 8, 2020
The course was very helpful Fataneh Taghaboni-Dutta has an excellent understanding of the course and explained it well thank you!
от партнера CSMay 14, 2019
Great lectures and great examples and everything in this course worked correctly, unlike in other Coursera courses I have taken.
от партнера YYJun 30, 2019
A good intro course for beginner. For engineers who already took statistical course at school, this course is a little simple.
от партнера NMJun 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!
от партнера BTApr 5, 2019
Tough, but provides excellent examples along the way that are broken down to create understanding. Very informative course!
от партнера JPApr 7, 2019
Good intro to statistical foundations. Would be great if all questions that involve Excel were in one Excel file
от партнера HPAug 23, 2017
A very well taught course. Prof. Fataneh Taghaboni-Dutta is one of the best professors on the Coursera platform.
от партнера LYApr 9, 2019
This is a very informative course. Easy to follow and understand. Lots of real examples. Strong recommendation.
от партнера MMJan 7, 2018
Clear direction and easy to follow. Great intro to implementing a statistical approach in data analyses.
от партнера MWDec 15, 2019
This is a very useful class, the professor can explain the complex topics in an easy way. Thanks a lot.
от партнера
???????????? ??????????? ? ??????-????????
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.
Сделайте шаг навстречу диплому магистра.
курс входит в онлайн-программу ''Master of Business Administration (iMBA)' от партнера ???????????? ??????????? ? ??????-????????.
Если вы переходите на полную программу, курсы засчитываются при получении диплома.
Специализация ????????? ?????????? ? ??????-?????? : общие сведения
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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