7 Best Computational Thinking Courses & Certification [2020]

best computational thinking course class certification training onlineIf you’re interested in learning Computational Thinking for a better career, then here is a list of Best Computational Thinking Courses, Classes, Tutorials, Training, and Certification programs available online for 2020. This list includes both free and paid courses to help you learn computational thinking. Also, it is ideal for beginners, intermediates, as well as experts.

 

7 Best Computational Thinking Courses & Certification [2020]

1. Computational Thinking for Problem Solving (Coursera)

Offered by the University of Pennsylvania, this course is designed to teach you how quantitative and data-centric problems can be solved with the help of computational thinking. You will learn about the pillars of computational thinking, how to develop and analyze algorithms just like computer scientists, how to use python programming for solutions on a computer. This course is created by professional instructors of the University of Pennsylvania, who will be in direct touch with you during the course to help you understand the concepts more clearly. Also, completing the course will provide you a certificate of certification that can be shared with employers to show your skills in computational thinking.

 

Key USPs –

– 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: 4 weeks

Rating: 4.8 out of 5

You can Sign up Here

 

Review: The course is very well-designed, and it helped me develop understand how to apply computational thinking in solving various types of problems as well as acquire basic skills of programming in Python. – AW

 

 

2. Computational Thinking with Python (edX)

edX provides a Computational Thinking course as a part of the XSeries program, which is designed to help individuals learn how to think computationally and write programs for solving useful problems without any prior experience in programming. In this course, you will get a brief introduction to various topics of Computational Thinking and Python so that you understand what can be done with computation to achieve your goals. The course is divided into two parts – the first part will introduce you to computer science and programming with python, and the other one will introduce you to computational thinking and data science. After finishing both these parts, you will be very well equipped with all the major components of computational thinking and python.

 

Key USPs –

– Designed by expert instructors of MITx, who have years of experience in computational thinking and python programming

– Cover a wide variety of topics in computer science, such as the notion of computation, simple algorithms, testing and debugging, and introduction to algorithmic complexity

– Learn how to use computation to accomplish a variety of goals and get introduced to various topics in computational problem solving

– Get instructor-led training from the comfort of your home without any deadlines

 

Duration: 5 months, 4-5 hours/week

Rating: 4.5 out of 5

You can Sign up Here

 

 

3. Problem-Solving with Computational Thinking (Coursera)

Provided by the University of Michigan, this course will introduce you to computational thinking and a broad definition of each concept related to computational thinking. You will learn how computational thinking can be used to solve complex problems, how to develop solutions via the application of computational thinking concepts for real-world problems, and much more. It is included with multiple video lectures, short descriptions, and practical exercises to help you learn each concept in detail. The instructor, Chris Quintana, is an associate professor at the University of Michigan, who will assist you during the course to hear your queries and resolve them. After completing computation thinking, you can learn from the best design thinking courses, as well.

 

Key USPs –

– One of the most comprehensive courses available on computational thinking that will help you cover every essential concept included in it

– Learn to understand complex problems and how to get a solution for them

– Learn how to define computational thinking components, such as problem identification, abstraction, pattern recognition, decomposition, and evaluating solutions

– Understand how to recognize computational thinking concepts in practice via a series of real-world case examples

– Work on a student project that will ask you to apply the skills and knowledge that you have gained from the course

 

Duration: 16 hours, 4-5 hours/week

Rating: 4.5 out of 5

You can Sign up Here

 

 

4. Computation Thinking with Google (Google)

Individuals who are willing to start their computational thinking journey without paying any fee can take help from this course. This is an introductory course that is designed to help individuals learn about computational thinking, how it is different than computer science, and how it be used with a variety of subjects. This course consists of five different units, each of which is focused on a different concept of computational thinking, such as exploring algorithms, developing algorithms, applying computational thinking, etc. The course is designed by experts of Google who are working with computational thinking for a long time, so you will get the best computational learning environment with this course.

 

Key USPs –

– A free introductory course that is designed to help educators learn how to integrate computational thinking in their curriculum

– Improve your knowledge and skills in computational thinking with multiple examples of CT integrated into your subject areas

– Learn how to create a plan to integrate computational thinking into your own curricula with examples of CT-integrated activities

– Create a statement for applying computational thinking to your subject areas and a plan to integrate it into your work and classroom

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

5. Computational Thinking and Block Programming (Coursera)

This is a specialization program designed by the University of California San Diego to help individuals learn several block-based languages with novel approaches that are designed to make learning programming easier. This program consists of six different courses, each of which will cover the essential topics related to computational thinking and block programming for K-12 education. The program is included with multiple video lectures, quizzes, practice exams, and hands-on exercises that will help you test your knowledge in the subject and gain experience from it. After finishing the program, you will receive a certificate of completion that can be shared with your LinkedIn profile or employers to showcase your skills in computation thinking and block programming.

 

Key USPs –

– A comprehensive specialization program that can help you learn the essential concepts of computational thinking and build a career in it

– Designed by an expert instructor of the University of California San Diego who will assist you during the program to solve your problems

– Work with a capstone project at the end of the course that will help you how to upkeep your students in successfully completing the advanced placement principles for creating tasks

– Completely flexible with the freedom to study from your comfort zone

 

Duration: 6 months

Rating: 4.5 out of 5

You can Sign up Here

 

 

6. Spatial Computational Thinking (edX)

This is a professional certification program designed by the National University of Singapore to help you learn the theoretical knowledge and practical skills that are necessary to leverage computation for the manipulation of different types of spatial data. In this program, you will learn about idea formulation, algorithm development, and solution exploration with a focus on the manipulation of semantic datasets. It consists of four different courses that will give you a fundamental knowledge of Spatial, and then move on to more advanced topics. The specialty of the program is that each session uses a free and easy to use browser-based software for writing algorithms to generate and visualize 3-D models.

 

Key USPs –

– Gain the knowledge and skills that are required for writing complex computational procedures for generating, analyzing, and visualizing complex 3D spatial information models

– Learn about the fundamentals of procedural programming in a 3D environment and how to write computational procedures with data structure and control-flow

– Learn how geometric entities can be tagged with additional attributes, and how they can be used for querying models

– Know about generating complex spatial information models while focusing on various relationships and constraints

– Included with various videos, quizzes, and hands-on projects to help you get equipped with the course content

 

Duration: 5 months

Rating: 4.5 out of 5

You can Sign up Here

 

 

7. Computational Thinking and Big Data (edX)

If you want to learn how computational thinking can be integrated with Big Data, then this course is the ideal choice for you. In this course, you will learn how computational thinking can be applied to data science. During the course, you will learn the core computational thinking concepts, such as decomposition, abstraction, pattern recognition, and algorithmic thinking. Also, you will learn about data representation and analysis and the process of cleaning, presenting, and visualizing data. This course is a part of the MicroMaster program, which means you can enroll yourself in other essential Big Data courses after finishing this course.

 

Key USPs –

– Get a detailed explanation of mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models

– Learn and develop skills that are required for solving problems in data-driven design and algorithms for big data

– Learn the core concepts of computational thinking and how to collect, clean, and consolidate large-scale datasets

– Get access to industry-level tools, such as R and Java for data preparation and visualization

– Avail multiple videos, downloaded resources, quizzes, assignments, and hands-on projects to enhance your skills in computational thinking with big data

 

Duration: 10 weeks, 8-10 hours/week

Rating: 4.7 out of 5

You can Sign up Here