Computational Thinking for Problem Solving (Coursera)
Computational thinking is the method of approaching a problem in a systematic way and developing and expressing a solution that can be implemented by a computer. You don't have to be a computer scientist to think like one! In fact, students from any field of study are encouraged to enroll in this course. Many quantitative and data-centric problems can be solved with computational thinking, and knowing how to do so will provide you with a foundation for solving problems with real-world, social implications.
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 are all covered in this course. By the end of the course, you'll be able to write a simple Python program to develop an algorithm and express it to the computer. This course will introduce you to people from various professions who solve problems using computational thinking. You'll be part of a unique community of analytical thinkers, and you'll be encouraged to think about how you can use computational thinking to make a positive social impact.
Highlights
- Get introduced to the process of approaching a problem in a systematic manner and creating and expressing a solution for it with computers
- Engage with a community of unique analytical thinkers and be encouraged to consider how you can make a positive social impact via computational thinking
- Learn the core concepts for problem-solving with the help of Python programming and computational thinking
- Get introduced to the people from a diverse professional who use computational thinking to solve realistic problems
Duration: Approx. 18 to complete
Course Ratings: 4.7 out of 5
Enroll here: https://www.coursera.org/learn/computational-thinking-problem-solving
