Computational Thinking with JavaScript 2: Model & Analyse is the second course in a sequence of four courses that focuses on essential 21st century computational thinking (CT) skills using the popular JavaScript programming language. In this course, learners will delve into the world of data analytics and visualization using JavaScript libraries and data structures. Led by Quintin Cutts and Jeremy Singer, this course offers a comprehensive understanding of how to process, analyze, and visualize data, equipping participants with the necessary skills to apply CT concepts to real-world scenarios. With a focus on practical application and interactive learning, this course offers an engaging learning experience for individuals eager to enhance their programming skills.
What You’ll Learn
- Gain insights into essential CT concepts and fundamentals
- Develop skills in data handling, software development, and computer programming
- Enhance proficiency in JavaScript coding for data processing and visualization
- Learn to model real-world scenarios using abstract data structures
- Acquire hands-on experience in sharing code creations online
Skills You’ll Gain
- Data Handling
- Software Development
- Computer Programming
- Coding
- JavaScript
- This course is part of the Computational Thinking with JavaScript Specialization
- Taught in English with some content that may not be translated
- Instructors: Quintin Cutts, Jeremy Singer
- A framework for CT to model real-world scenarios using abstract data structures
- CT skills to perform common data analytics tasks
- Proficiency in reading and writing JavaScript programs for data processing and visualization
- Hands-on experience in sharing code creations on the web
Computational Thinking with JavaScript 2: Model & Analyse is an intermediate-level course aimed at learners who have already completed the first course in the specialization or have basic JavaScript skills. The course spans approximately 19 hours and offers a flexible schedule to accommodate individual learning preferences. Participants can expect to cover a range of topics, including data handling, software development, computer programming, and JavaScript coding. The course structure comprises interactive modules, quizzes, readings, programming assignments, and discussion prompts, fostering active engagement and skill development.
Upon completion of this course, learners will gain:
Throughout the course, participants will engage with videos, quizzes, readings, programming assignments, and interactive labs that reinforce key concepts and facilitate practical application. The course culminates in a comprehensive project where learners will build a data processing system to cluster data into similar groups, showcasing their acquired skills and knowledge.
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