9 Best + Free Computational Thinking Courses with Certificates

Computational Thinking in simpler words is a process of approaching a problem systematically. It is a process of creating and expressing a solution that can be carried out by a computer. With the help of Computational Thinking, we can solve many quantitative and data-centric problems. A complete understanding of Computational Thinking can give learners a foundation for solving all such problems that have real-world and social impact. Below you can find a list of Best + Free Computational Thinking Courses with Certificates.

Best + Free Computational Thinking Courses with Certificates

Computational Thinking for Problem Solving

• • • University of Pennsylvania via Coursera
    • 93,673+ already enrolled!
    • ★★★★★ (1,238 Ratings)

In this engaging course, you will learn all about the pillars of computational thinking in detail. Here the instructor will explain how computer scientists are able to develop and analyze algorithms.

• The best thing about this course is its focus on explaining how to develop an algorithm and express it to the computer and that too by writing a simple Python program.
• This course is for those who wish to understand how to make a positive social impact through computational thinking.

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Exploring Computational Thinking with Google

• • • via Google

The Google Exploring Computational Thinking resources offer access to a curated collection of lesson plans, videos, and other resources that can collectively help a learner develop a better understanding of Computational Thinking. These resources are suitable for educators and administrators who wish to understand how to integrate CT into their teaching practice, learning environment, and classroom content.

Computational Thinking using Python

• • • Massachusetts Institute of Tech. via edX
    • Study Type: Instructor-led
    • 320 Hours of effort required!

In this class, the instructor covers the notion of computation and other things like algorithms, testing and debugging, Python programming language, and data structures in detail.

• The reason why we chose this class is its focus on explaining all about algorithmic complexity and how to use computation for accomplishing a variety of goals.
• This class is for those who wish to understand different topics in computational problem-solving. Anyone looking to enhance their managerial skills should not miss our Effective Problem-Solving and Decision-Making Course Review, which offers a deep dive into these essential abilities.

Problem Solving Using Computational Thinking

• • • University of Michigan via Coursera
    • 80,562+ already enrolled!
    • ★★★★★ (1,176 Ratings)

This course offers a detailed introduction to computation thinking. Here you will be given a broad definition of each concept including a series of real-world cases illustrating how computational thinking can be used to solve complex problems.

• The best thing about this course is its focus on providing a project that includes a final disaster response plan.
• This course is for those who are interested in programming or just want to understand a more convenient way to solve critical problems.

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Formal Languages and Automata Theory

• • • Prof. R. Madana via Udemy
    • 7,672+ already enrolled!
    • ★★★★★ (155 Ratings)

Are you interested in understanding how to develop a formal notation for strings, languages, and machines? If yes then this course is for you.

• The reason why we chose this course is its focus on explaining how to design finite automata that will lead to accepting a set of strings of a language.
• This course is for those who wish to learn to design context-free grammar for generating strings from a context-free language and then convert them into normal forms.

continue with more Computational Thinking Courses with Certificates…

Computational Thinking with JavaScript Specialization

• • • University of Glasgow via Coursera
    • 112 Hours of effort required!
    • Study Level: Beginner

In this specialization, the instructor will explain a key problem-solving framework that can help to use new technologies in any problem domain. Here you will understand how to use the framework with Javascript and animated graphics.

• The best thing about this specialization is its focus on explaining how to process, analyze, and visualize data using simple JavaScript libraries and data structures. You will be taught how HTML and JavaScript work together and give you most of what you see on the web.
• This specialization is for all those who wish to develop and deepen their Computational Thinking skills.

Computational Thinking and Big Data

• • • The University of Adelaide via edX
    • 22,174+ already enrolled!
    • 100 Hours of effort required!

In this “Computational Thinking and Big Data” class, the instructor will help you understand how to apply advanced core Computational Thinking concepts to large-scale data sets.

• The best thing about this class is its focus on explaining how to use industry-level tools for data preparation and visualization purposes like R and Java. You will also understand how to apply methods for data preparation to large data sets.
• This class is for those who wish to understand the different mathematical and statistical techniques for attracting information from large data sets and then illuminating relationships between data sets.

Top Computational Thinking Courses

• • • via Udemy

Udemy offers Top Computational Thinking courses that aim to help individuals develop a sufficient understanding of this subject area. Whether you want a detailed introduction to computational thinking or computational logic, want to understand computation thinking in Python, or learn to build real-world projects in Python, Udemy has a course that fits all your educational needs.

Spatial Computational Thinking

• • • National University of Singapore via edX
    • Study Type: Self-paced
    • 96 Hours of effort required!

In this course, the instructor will explain how to write procedural algorithms for generating spatial information models using fundamental data structures and control-flow constructs.

• The best thing about this course is its focus on explaining how to integrate multiple procedures for generating complex spatial information models that capture various relationships and constraints.
• This course is for those who wish to understand how to evaluate alternative spatial information models for supporting performance-based decision-making.

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