We may earn an affiliate commission when you visit our partners.
Fractal Analytics
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
Read more
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
Read more
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 also acts as the first stepping-stone for aspiring data scientists. 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. Ideal for students, professionals, and anyone intrigued by systematic approaches, this course empowers you with the foundational skills needed to approach problems with clarity and confidence.
Register for this course and see more details by visiting:
OpenCourser.com/course/pgqliy/structured
Three deals to help you save
We found three deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 12
Annual Subscription Savings
Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.
Only $239!
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Syllabus
Structured Thinking
This module teaches you how to use structured thinking to solve problems at work and in everyday life. You will also learn about the different stages and roles in data science, as well as the tools used in data science.
Read more
Syllabus
Structured Thinking
This module teaches you how to use structured thinking to solve problems at work and in everyday life. You will also learn about the different stages and roles in data science, as well as the tools used in data science.
Read more
Solving Problems with Structured Thinking
This module teaches structured thinking for solving business problems and covers tools and frameworks used in the process. It also highlights common mistakes to avoid.
Human-Centered Design
Human-Centered Design is an approach that prioritizes the end-users' needs by understanding them and creating products that cater to their preferences and behaviors. The goal is to design products that are user-friendly, effective, and enjoyable to use. This module would help you understand why and how you should also keep your users/humans at the center of solving your business problems.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides foundation for aspiring data scientists
Teaches a structured approach to problem-solving that is applicable to various domains
Empowers learners to identify and avoid common pitfalls in problem-solving
Emphasizes the importance of human-centric design in problem-solving
Serves as a foundational step in the Fractal Data Science Professional Certificate program
Requires structured thinking and problem-solving abilities
Save this course
Save Structured Approach to Problem Solving to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Structured Approach to Problem Solving with these
activities:
Review Previous Learning
Show steps
Review basic concepts and techniques in data science and problem-solving
Browse courses on
Data Science
Show steps
-
Review notes from previous courses or textbooks
-
Complete practice problems and exercises
-
Attend refresher workshops or online webinars
Review Course Materials
Show steps
Review course syllabi, lesson plan, assignments, quizzes, and exams
Show steps
-
Collect all course materials
-
Review key points and sections
-
Identify areas that need additional attention
Join a Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and support each other's learning
Show steps
-
Find or create a study group
-
Set regular meeting times
-
Review course materials together
-
Discuss key concepts and problem-solving techniques
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Solving Problems
Show steps
Apply structured thinking and problem-solving techniques to real-world problems
Show steps
-
Identify a problem and define its scope
-
Gather and analyze data
-
Develop and evaluate solutions
-
Communicate results
Attend Problem-Solving Workshops
Show steps
Gain practical experience and insights from industry experts
Show steps
-
Identify and register for relevant workshops
-
Attend workshops and actively participate
-
Engage with speakers and ask questions
-
Reflect on learnings and apply them to your own projects
Create a Problem-Solving Portfolio
Show steps
Showcase your problem-solving skills by creating a portfolio of case studies
Show steps
-
Select and analyze real-world case studies
-
Apply structured thinking and problem-solving techniques
-
Develop comprehensive solutions
-
Present your findings in a clear and concise manner
Connect with Industry Professionals
Show steps
Seek guidance and mentorship from experienced professionals in the field
Show steps
-
Identify potential mentors
-
Craft a professional outreach email
-
Meet with mentors for informational interviews
-
Build relationships and seek ongoing support
Explore Advanced Topics
Show steps
Expand your knowledge and skills in related areas
Browse courses on
Machine Learning
Show steps
-
Identify areas of interest
-
Research and select reputable tutorials
-
Follow tutorials and complete exercises
-
Practice applying new techniques
Review Previous Learning
Show steps
Review basic concepts and techniques in data science and problem-solving
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Review notes from previous courses or textbooks
- Complete practice problems and exercises
- Attend refresher workshops or online webinars
Review Course Materials
Show steps
Review course syllabi, lesson plan, assignments, quizzes, and exams
Show steps
Show steps
Show steps
- Collect all course materials
- Review key points and sections
- Identify areas that need additional attention
Join a Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and support each other's learning
Show steps
Show steps
Show steps
- Find or create a study group
- Set regular meeting times
- Review course materials together
- Discuss key concepts and problem-solving techniques
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Solving Problems
Show steps
Apply structured thinking and problem-solving techniques to real-world problems
Show steps
Show steps
Show steps
- Identify a problem and define its scope
- Gather and analyze data
- Develop and evaluate solutions
- Communicate results
Attend Problem-Solving Workshops
Show steps
Gain practical experience and insights from industry experts
Show steps
Show steps
Show steps
- Identify and register for relevant workshops
- Attend workshops and actively participate
- Engage with speakers and ask questions
- Reflect on learnings and apply them to your own projects
Create a Problem-Solving Portfolio
Show steps
Showcase your problem-solving skills by creating a portfolio of case studies
Show steps
Show steps
Show steps
- Select and analyze real-world case studies
- Apply structured thinking and problem-solving techniques
- Develop comprehensive solutions
- Present your findings in a clear and concise manner
Connect with Industry Professionals
Show steps
Seek guidance and mentorship from experienced professionals in the field
Show steps
Show steps
Show steps
- Identify potential mentors
- Craft a professional outreach email
- Meet with mentors for informational interviews
- Build relationships and seek ongoing support
Explore Advanced Topics
Show steps
Expand your knowledge and skills in related areas
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify areas of interest
- Research and select reputable tutorials
- Follow tutorials and complete exercises
- Practice applying new techniques
Career center
Learners who complete Structured Approach to Problem Solving will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist combines a foundation in mathematics and statistical modeling techniques with programming skills and a business understanding to analyze data, extract meaningful insights, and communicate findings to technical and non-technical stakeholders alike. The Structured Approach to Problem Solving course can help you develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in data science.
Data Analyst
Data Analyst
A Data Analyst plays a crucial role in collecting, cleaning, and analyzing data to identify trends and patterns that can help businesses make better decisions. The Structured Approach to Problem Solving course can provide you with a strong foundation in the tools and techniques used in data analysis, as well as helping you to develop the structured thinking and problem-solving skills that are essential for success in this role.
Business Analyst
Business Analyst
A Business Analyst helps businesses to identify and solve problems by analyzing data and developing solutions. The Structured Approach to Problem Solving course can provide you with a strong foundation in the tools and techniques used in business analysis, as well as helping you to develop the structured thinking and problem-solving skills that are essential for success in this role.
Management Consultant
Management Consultant
A Management Consultant helps businesses to improve their performance by providing advice and guidance. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in management consulting.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in sales management.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in project management.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for the development and execution of marketing campaigns. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in marketing.
Human Resources Manager
Human Resources Manager
A Human Resources Manager is responsible for the management of human resources within an organization. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in human resources management.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products and features. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in product management.
Operations Manager
Operations Manager
An Operations Manager is responsible for the day-to-day operations of a business. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in operations management.
Actuary
Actuary
An Actuary is responsible for assessing and managing financial risk. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in actuarial science.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve problems in business and industry. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in operations research.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in statistics.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and providing recommendations to businesses. The Structured Approach to Problem Solving course can help you to develop the structured thinking and problem-solving skills that are essential for success in this role, as well as providing you with a foundation in the tools and techniques used in financial analysis.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software systems. The Structured Approach to Problem Solving course may be useful for developing the structured thinking and problem-solving skills that are essential for success in this role.
For more career information including salaries, visit:
OpenCourser.com/course/pgqliy/structured
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Structured Approach to Problem Solving.
Great introduction to the fundamentals of data science, using Python. It covers a wide range of topics, from data cleaning and wrangling to machine learning and deep learning.
Classic reference on statistical learning. It covers a wide range of topics, from linear regression to support vector machines. It valuable resource for anyone who wants to learn more about the theory of machine learning.
Save
Is the definitive reference on deep learning. It covers a wide range of topics, from the basics of neural networks to the latest advances in the field.
Comprehensive overview of the field of human-computer interaction. It covers a wide range of topics, from the design of user interfaces to the evaluation of user experience.
Save
Provides a practical guide to design thinking, a human-centered approach to problem-solving. It valuable resource for anyone who wants to learn more about the design thinking process.
Provides a clear and concise overview of critical thinking. It valuable resource for anyone who wants to learn more about the principles of critical thinking.
Provides a practical guide to creative problem-solving for managers. It valuable resource for anyone who wants to learn more about the skills of creative thinking.
Provides a framework for understanding why large companies often fail to innovate. It valuable resource for anyone who wants to learn more about the challenges of innovation.
Provides a practical guide to the lean startup methodology. It valuable resource for anyone who wants to learn more about the skills of entrepreneurship.
Save
Provides a practical guide to getting customers for your startup. It valuable resource for anyone who wants to learn more about the skills of marketing and sales.
Save
Provides a unique perspective on the world of startups. It valuable resource for anyone who wants to learn more about the mindset of successful entrepreneurs.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/pgqliy/structured
Share
Similar courses
Here are nine courses similar to
Structured Approach to Problem Solving.
Evaluating Problems
OpenCourser.com/course/ab357j/evaluating
Evaluating Problems
Most relevant
Programming for Data Science
OpenCourser.com/course/borls0/programming
Programming for Data Science
Most relevant
Statistical Thinking for Industrial Problem Solving, presented by JMP
OpenCourser.com/course/u242hw/statistical
Statistical Thinking for Industrial Problem Solving,...
Most relevant
Algorithmic Solutions: Design, Problem Solving, Reporting
OpenCourser.com/course/hng5mb/algorithmic
Algorithmic Solutions: Design, Problem Solving, Reporting
Most relevant
Converting Challenges into Opportunities
OpenCourser.com/course/r7qqlx/converting
Converting Challenges into Opportunities
Most relevant
Solving Problems with Creative and Critical Thinking
OpenCourser.com/course/7w3sj9/solving
Solving Problems with Creative and Critical Thinking
Most relevant
Abstraction, Problem Decomposition, and Functions
OpenCourser.com/course/frv6hd/abstraction
Abstraction, Problem Decomposition, and Functions
Most relevant
Python Programming Fundamentals
OpenCourser.com/course/ub25g6/python
Python Programming Fundamentals
Most relevant
Computational Thinking for Problem Solving
OpenCourser.com/course/68pk4w/computational
Computational Thinking for Problem Solving
Most relevant
Effort
3 weeks of study, 3-4 hours/week
Level
Introductory
Via
Coursera
Institution
Fractal Analytics
Instructor
Fractal Analytics
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
Pусский
Türkçe
Polski
Ελληνικά
українська мова
Bahasa Indonesia
ไทย
қазақша
This course belongs to a
collection
called
Fractal Data Science . It's comprised of seven courses:
- Advanced Machine Learning Algorithms
- Foundations of Machine Learning
- Structured Approach to Problem Solving (viewing)
- Insights of Power BI
- Data Analysis Using SQL
- Python for Data Science
- Human Decision Making and its Biases
Good to know
Provides foundation for aspiring data scientists
Teaches a structured approach to problem-solving that is applicable to various domains
Empowers learners to identify and avoid common pitfalls in problem-solving
Emphasizes the importance of human-centric design in problem-solving
Serves as a foundational step in the Fractal Data Science Professional Certificate program
Requires structured thinking and problem-solving abilities
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser