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Coursera - Computational Thinking for Problem Solving

Coursera with University of Pennsylvania: Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact. In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. By the end of the course, you will be able to develop an algorithm and express it to the computer by writing a simple Python program. This course will introduce you to people from diverse professions who use computational thinking to solve problems. You will engage with a unique community of analytical thinkers and be encouraged to consider how you can make a positive social impact through computational thinking.

Provider: www.coursera.org
Price
Free
Last checked 2/5/2026
Duration
Up to 1 day
3-10h
Level
Beginner
General
Format
Not specified
General
What you’ll learn
  • 4.8 (121,112 reviews) Beginner level Recommended experience Flexible schedule 1 week at 10 hours a week Learn at your own pace 98% Most learners liked this course About Outcomes Modules Recommendations Testimonials Reviews What you'll learn Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Prerequisites
  • 4.8 (121,112 reviews) Beginner level Recommended experience Flexible schedule 1 week at 10 hours a week Learn at your own pace 98% Most learners liked this course About Outcomes Modules Recommendations Testimonials Reviews What you'll learn Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Certification
certificate
Assessment
exam
Format
Not specified