Structured Approach to Problem Solving
- Offered byCoursera
Structured Approach to Problem Solving at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Structured Approach to Problem Solving at Coursera Highlights
- Earn a certificate from Fractal Analytics
- Add to your LinkedIn profile
- 10 quizzes, 2 assignments
Structured Approach to Problem Solving at Coursera Course details
- What you'll learn
- Explain the lifecycle of DS project and role of structured thinking in DS project.
- Define a problem statement using the SMART framework. Explain the activities, best practices, and pitfalls in the implementation phase.
- Construct MECE issue tree to break-down business problems into parts. Create a problem statement worksheet to scope business problems.
- Explain the role of human centered design during solutioning of business problems.
- This course is an introductory course that equips you with the concepts and tools of problem thinking
- By the end of this course, you will be able to:
- 1. Explain the different stages of a data science project
- 2. Discuss some of the tools and techniques used in data science.
- 3. Apply structured thinking to solving problems and avoid the common traps while doing so
- 4. Apply human-centric design in problem-solving.
- This course is a part of the program titled Fractal Data Science Professional Certificate
- This course is tailored for learners seeking to enhance their analytical and critical thinking abilities
Structured Approach to Problem Solving at Coursera Curriculum
Structured Thinking
Program Introduction
What Is Data Science?
Course Introduction
A day in the life of a Data Scientist
Stages of a Data Science Project
Roles in a Data Science Project
Tools of the Trade
Applications of Data Science
Introduction to Structured Thinking
Frameworks of Structured Thinking
Structured Thinking and Problem Solving
Structured Thinking in Solving Business Problems
Framing the Problem Statement
The Common Pitfalls — The Loop Trap
The Common Pitfalls — The Complexity Trap
The Common Pitfalls — The Obvious Trap
The Future of Data Science
Course Syllabus
Skills and Competencies for the Future Workforce
The Global Problem Statement
Disclaimer
Story of a Data Scientist
Solving Problems Like a Pro
Tell us what you think!
Check Your Understanding
Check Your Understanding
Check Your Understanding
End of Module Graded Quiz
Structured Thinking & Efficient Project Management
Defining a Problem Statement
Meet and Greet
Collaboration & problem-solving.
Solving Problems with Structured Thinking
Defining a Problem Statement Worksheet (PSW)
How the PSW Helps in Defining a Problem Statement
Mutually Exclusive and Collectively Exhaustive (MECE)
What is an Issue Tree?
Creating an Issue Tree
Documenting the Implementation Phase
The Adoption Plan
Metrics for Evaluation-1
Metrics for Evaluation-2
Creating User Research for Insights
Common Design Pitfalls
Common Strategic Pitfalls
Phases of Testing a DS Project
Best Practices and Pitfalls of a PSW
What is a Hypothesis Tree?
Other Frameworks for Problem-Solving
Check Your Understanding
Check Your Understanding
Check Your Understanding
Check Your Understanding
End of Module Graded Quiz
Creating a PSW
AI and Automation
User Centricity in Design and Strategy
Human-Centered Design
Human-Centered Design (HCD) and Empathy
What is HCD?
The Discovery Phase
The Solution Phase
Fireside Chat with Biju Dominic
Empathy in Design — Three Strategies to Build Empathy
Optional Reading - User Centered Design in a Product Development Lifecycle Process
Empathy Map — Why and How
Empathy Map, User Persona, and User Flow
Check Your Understanding
Case Study: Traffic Signals — How to Design Better Traffic Signals for Colorblind Individuals (Especially Red and Green Colorblind Individuals)
Human-Centric Designs in Daily Life
Structured Approach to Problem Solving at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?