Statistics for Business - II

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8/10 stars
based on  5 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
23449 reviews

Course Description

Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two parts cover topics in Descriptive Statistics, whereas the next two focus on Inferential Statistics.

Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions.  

In Part 2, we use the language of probability to examine the underlying distributions of random variables. We model real-life phenomena using known variables such as Binomial, Poisson and Normal. We learn how to simulate data that are distributed according to these variables.

We shall take up datasets that have over a million rows, which makes it difficult to analyze using a spreadsheet. This is a natural setting for R, an advanced stati...

Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 2 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two parts cover topics in Descriptive Statistics, whereas the next two focus on Inferential Statistics.

Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions.  

In Part 2, we use the language of probability to examine the underlying distributions of random variables. We model real-life phenomena using known variables such as Binomial, Poisson and Normal. We learn how to simulate data that are distributed according to these variables.

We shall take up datasets that have over a million rows, which makes it difficult to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. We incorporate helpful tutorials to get learners acquainted with the platform. 

Reviews 8/10 stars
5 Reviews for Statistics for Business - II

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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10/10 starsTaking Now
3 years, 6 months ago
The course is very good as it provides analytics practice in both spreadsheets and R to compare and contrast the strengths and weaknesses of both tools
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8/10 starsCompleted
4 years, 4 months ago
I totally loved the first module of this course. This second module was very good too, but I found some issues with the organization, R Studio was way less used than I expected, and too superficially. Schedule was poorly respected. For some weeks content was dry and general interest dropped. I found the forums were little active, in comparison to the first module. It was said less than 300 students managed to score at least 55%, which was surprising, since the course wasn't that hard. I hope they prepare themselves better for the 3rd module. The instructor is one of the best in the MOOC universe.
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8/10 starsCompleted
4 years, 6 months ago
This is a wonderful course on application of statistics. One gets to actually understand and picture the distributions and how they are used. I would recommend this course to all who want to learn Statistics.
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Hernan Avalos

8/10 starsCompleted
4 years, 6 months ago
Very good course and the teacher explanation are very clear and concise, very useful for business people that dont need to enter in a deep level of explanation about theorems and mathematical things, rather it is practical and useful.
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OLAGUNDOYE TOPE

6/10 starsTaking Now
4 years, 7 months ago
CONCERNING THE CONTENT; AM STILL VERY MUCH OK WITH IT. BUT I STILL WANNA CONTINUE WITH THE LECTURE TO GAIN MORE EXPERIENCE TO BE ABLE TO MOVE TO THE NEXT AGENDA. FOR THE INSTRUCTOR; AM STILL NOT FAMILIAR WITH HIM. BUT WITH TIME I WILL DO. PROVIDER: OK BY ME THANKS,
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