Introduction to Business Analytics and Information Economics Capstone

  • 0.0
Approx. 9 hours to complete

Course Summary

This course is the final project in the Analytics and Information MasterTrack Certificate where students will apply the skills and knowledge they have gained in the program to a real-world business problem.

Key Learning Points

  • Learn how to apply analytics techniques to solve real-world business problems
  • Develop skills in data visualization, data storytelling, and communication
  • Work on a real-world project with a team of peers and receive feedback from industry professionals

Related Topics for further study


Learning Outcomes

  • Ability to apply analytics techniques to solve real-world business problems
  • Skills in data visualization, data storytelling, and communication
  • Experience working on a real-world project with a team of peers and receiving feedback from industry professionals

Prerequisites or good to have knowledge before taking this course

  • Completion of the Analytics and Information MasterTrack Certificate
  • Knowledge of analytics techniques and tools

Course Difficulty Level

Advanced

Course Format

  • Online
  • Self-paced
  • Project-based

Similar Courses

  • Applied Data Science Capstone
  • Data Science Methodology

Related Education Paths


Related Books

Description

Welcome to the Introduction to Business Analytics and Information Economics Capstone! I’m thrilled to have you enrolled in the course. This Capstone will enable you to put into practice some of the concepts you have studied previously about applying economic concepts to information, conceiving analytics hypotheses, valuing information assets, and developing ideas for monetizing information in various ways. I look forward to your contributions and ideas. 

Outline

  • Introduction to Business Analytics and Information Economics Capstone Introduction
  • Capstone Introduction
  • Meet Instructor Doug Laney
  • Capstone Overview
  • About the Discussion Forums
  • Milestone 1 Selecting an Organization and Learning About Its Data
  • Milestone 1 Selecting an Organization
  • Milestone 1 Overview
  • Milestone 2 Generating Data Monetization Ideas
  • Milestone 2 Taking Advantages of Data
  • Milestone 2 Overview
  • Milestone 3 Assessing Idea Feasibility
  • Milestone 3 Assessing Idea Feasibility
  • Milestone 3 Overview
  • Milestone 4 Articulating the Business Case
  • Module 4 Providing Peer Feedback
  • Gies Online Programs
  • Milestone 4 Overview
  • Congratulations!

Summary of User Reviews

The Analytics Information Capstone course on Coursera has received positive reviews from students. Many users praise the hands-on approach of the course, which allows them to apply the concepts they learn in real-world scenarios.

Key Aspect Users Liked About This Course

Hands-on approach with real-world scenarios

Pros from User Reviews

  • Practical assignments that allow students to apply concepts learned in the course
  • Engaging and knowledgeable instructors who provide helpful feedback
  • Comprehensive coverage of analytics and data visualization tools
  • Flexible schedule that allows students to learn at their own pace

Cons from User Reviews

  • Some users found the course content to be too basic
  • The course may be challenging for those without prior knowledge of analytics
  • The peer review process for assignments can be inconsistent
  • Limited interaction with other students and instructors
English
Available now
Approx. 9 hours to complete
Douglas B. Laney
University of Illinois at Urbana-Champaign
Coursera

Instructor

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