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Overview
Key Features
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.
This is the fourth course in the specialization, "Business Statistics and Analysis". You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.The focus of the course is on understanding and application, rather than detailed mathematical derivations.
Note: This Linear Regression for Business Statistics Course offered by Coursera in partnership with Rice University uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac.Programme Structure
Courses include:
- Regression Analysis
- Hypothesis Testing and Goodness of Fit
- A Regression Application Using Housing Data
- Dummy Variables, Multicollinearity
- Multicollinearity in Regression Models: What it is and How to Deal with it
- Various Extensions
Key information
Duration
- Part-time
- 21 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Business Administration Statistics View 106 other Short Courses in Statistics in United StatesWhat students do after studying
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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
- This course is aimed at learners and professionals who want to develop practical regression analysis skills using Excel to support forecasting, prediction, and data‑driven business decision‑making.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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