Overview
This Inferential and Predictive Statistics for Business 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.
To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations.
Key facts
- The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting.
- 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 use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings.
- The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained.
You will be able to:
- Test for beliefs about a population
- Compare differences between populations
- Use linear regression model for prediction
- Use Excel for statistical analysis
Skills you'll gain
- Probability & Statistics
- General Statistics
- Probability Distribution
- Business Analysis
- Decision Making
- Regression
Programme Structure
Courses included:
- Course Orientation
- Hypothesis Testing
- Statistical Inference Based on Two Samples
- Simple Linear Regression
- Multiple Linear Regression
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Business Administration Statistics View 183 other Short Courses in Business Administration in United StatesWhat students do after studying
Academic 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
- Intermediate level
- Some related experience required
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.