Overview
How can innovators understand if their idea is worth developing and pursuing? In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls.
A Scientific Approach to Innovation Management course offered by Coursera in partnership with Bocconi teaches students to assess the feasibility of an innovative idea through problem-framing techniques and rigorous data analysis labelled ‘a scientific approach’.
Students will also be shown the implications of a scientific approach to innovation management through a wide range of examples and case studies.
About this course:
The course covers the basics of data analysis, beginning with the distinction between correlation and causality. It teaches how to make predictions using regression analysis and links these methods to the scientific approach, explaining their role in scientific decision-making and how they support managerial decisions. Real examples of companies using data to guide innovation decisions are included. The course concludes this section by discussing how to interpret analyses and results critically, emphasizing what can truly be learned from the analyses and when results should be interpreted cautiously and critically.
Programme Structure
Courses include:
- Operation Efficiency Vs Strategic Efficiency
- Conditional Probabilities And The Bayes Theorem
- Randomized Control Trials
- Correlation Vs Causality
- Reflection Critical Evaluation
- Machine Learning For Innovation Management Decisions
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Innovation Management View 46 other Short Courses in Innovation Management 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
- This course is aimed at students and managers interested in applying a scientific approach to innovation and managerial decision‑making, with a focus on problem formulation, data analysis, experimentation, and evidence‑based innovation decisions.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription