Business Statistics and Analysis Capstone

  • 4.7
Approx. 7 hours to complete

Course Summary

This capstone course provides an opportunity for you to apply and demonstrate the knowledge and skills you have acquired throughout the Business Statistics and Analysis specialization. You will analyze a real-world business problem using a dataset from a major company, and submit a report of your findings.

Key Learning Points

  • Learn how to apply statistical and analytical tools to real-world business problems
  • Gain hands-on experience in data analysis and visualization
  • Develop critical thinking and problem-solving skills in a business context

Related Topics for further study


Learning Outcomes

  • Analyze a real-world business problem using statistical and analytical tools
  • Apply data visualization techniques to communicate your findings effectively
  • Develop a comprehensive report outlining your analysis and recommendations

Prerequisites or good to have knowledge before taking this course

  • Completion of previous courses in the Business Statistics and Analysis specialization
  • Familiarity with statistical and analytical tools such as Excel and R

Course Difficulty Level

Advanced

Course Format

  • Online
  • Self-paced

Similar Courses

  • Data Science and Machine Learning Capstone Project
  • Applied Data Science Capstone
  • Business Analytics Capstone

Notable People in This Field

  • Nate Silver
  • Hans Rosling
  • Edward Tufte

Related Books

Description

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. 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.

Outline

  • Business Statistics and Analysis Capstone: An Introduction
  • A Summary of the Four Courses in the Specialization
  • Introducing the Capstone
  • 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
  • Lesson 1, Slides
  • Pre-Course Survey
  • Lesson 2, Slides
  • The URL to download data for the Capstone Project
  • List of variables to be used in Capstone
  • Lesson 4, Slides
  • Lesson 5, Slides
  • Capstone Quiz 1: Data in Excel
  • Business Statistics and Analysis Capstone: Assessments 1 & 2
  • Introducing Assignment 1: Differences in Market Value of Housing Units
  • Introducing Assignment 2: Fair Market Rent of Housing Units
  • Lesson 1, Slides
  • Lesson 2, Slides
  • Week 2 Assessment 1 Sample Solution
  • Week 2 Assessment 2 Instructions
  • Week 2 Assessment 2 Sample Solution
  • Week 2 Assessment 1
  • Week 2 Assessment 2
  • Business Statistics and Analysis Capstone: Assessment 3
  • Introducing Assignment 3: A Model for Market Value of Housing Units
  • Lesson 1, Slides
  • Week 3 Assessment Sample Solution
  • Business Statistics and Analysis Capstone: Assessment 4
  • Introducing Assignment 4: Building a Predictive Model for Market Value of Housing Units
  • Lesson 1, Slides
  • Week 4 Assessment Sample Solution
  • Post-Course Survey

Summary of User Reviews

Key Aspect Users Liked About This Course

Real-world application of statistical analysis

Pros from User Reviews

  • Practical examples and case studies
  • Clear explanation of statistical concepts
  • Hands-on experience with statistical software
  • Engaging and interactive course materials

Cons from User Reviews

  • Some users found the pace of the course too fast
  • The statistical software used in the course may be challenging for beginners
  • Not suitable for those who are looking for a theoretical or academic approach to statistics
English
Available now
Approx. 7 hours to complete
Sharad Borle
Rice University
Coursera

Instructor

Sharad Borle

  • 4.7 Raiting
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