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Overview
The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst.
Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.
Please remember that this is a Capstone, and has a degree of difficulty/ambiguity higher than the previous four courses. The aim of the Business Statistics and Analysis Capstone course offered by Coursera in partnership with Rice University is being to mimic a real life application as close as possible.
Skills you will gain
- Predictive Analytics
- Data Analysis
- Microsoft Excel
- Regression Analysis
Programme Structure
Courses include:
- Business Statistics and Analysis Capstone
- A Summary of the Four Courses in the Specialization
- A Conversation with Garfield Fisher, the industry partner for the Capstone
- Q&A with Garfield Fisher
- Data for the Capstone Project
- Merging and Cleaning Data for the Capstone
Key information
Duration
- Part-time
- 1 days
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
Statistics Business Intelligence View 79 other Short Courses in Business Intelligence 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 with prior knowledge of business statistics who want to apply data analysis, regression, and predictive analytics skills to solve real‑world problems and present insights effectively.
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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