Overview
The Exploring and Producing Data for Business Decision Making course offered by Coursera in partnership with University of Illinois 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 learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.
While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from different disciplines, allowing you to see the use of statistics in a range of settings. The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained.
Upon successful completion of this course, you will be able to:
- Summarize large data sets in graphical, tabular, and numerical forms.
- Understand the significance of proper sampling and why one can rely on sample information
- Understand why normal distribution can be used in a wide range of settings
- Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations
- Use Excel for statistical analysis
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Course Orientation
- Summarizing Data
- Descriptive Statistics and Probability Distributions
- Sampling and Central Limit Theorem
- Inference
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Business Administration Data Science & Big Data View 271 other Short Courses in Business Administration in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.