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⇱ Computational Thinking with JavaScript 2: Model & Analyse | Coursera


Computational Thinking with JavaScript 2: Model & Analyse

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Computational Thinking with JavaScript 2: Model & Analyse

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Model real‑world situations using data structures and computational abstractions.

  • Analyse and visualise data using JavaScript and simple libraries.

  • Reason about patterns and behaviour using computational models.

Details to know

Shareable certificate

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Assessments

10 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Computational Thinking with JavaScript Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This is the second course in the four‑course Computational Thinking with JavaScript Specialization. Building on the foundations from Course 1, the emphasis here is on modelling aspects of the real world using computational representations, particularly data.

You will deepen your understanding of computational thinking by working with abstract data structures and simple analytical processes. Using JavaScript and specialised libraries, you will write programs that process, analyse, and visualise data, supporting reasoning about patterns and behaviour. Throughout the course, attention is given to how data is represented, transformed, and interpreted, and to how these choices shape what a computational model can reveal. This course is suitable for learners who have completed Computational Thinking with JavaScript 1: Draw & Animate, or who already have basic JavaScript experience and want to explore data and analysis in a structured and supportive setting. The skills developed here form an essential bridge between expressive programming and the interactive, web‑based systems explored in later courses.

We introduce the array data structure in JavaScript, which is used to represent an ordered sequence of data values.

What's included

6 videos2 readings2 assignments1 programming assignment3 discussion prompts3 ungraded labs

6 videosTotal 30 minutes
  • Welcome to the course3 minutes
  • Modifying arrays in JavaScript3 minutes
  • Going through arrays with for loops6 minutes
  • Variables have roles7 minutes
  • Introducing CSV files5 minutes
  • Two-dimensional arrays5 minutes
2 readingsTotal 10 minutes
  • Who am I? More about Jeremy Singer0 minutes
  • Introducing arrays10 minutes
2 assignmentsTotal 60 minutes
  • Introductory arrays quiz30 minutes
  • Interacting with data in CSV files30 minutes
1 programming assignmentTotal 30 minutes
  • Movie stars assignment30 minutes
3 discussion promptsTotal 30 minutes
  • Thinking about arrays10 minutes
  • My first CSV file10 minutes
  • Any problems?10 minutes
3 ungraded labsTotal 100 minutes
  • Coding with arrays10 minutes
  • Parsing CSV files in JavaScript60 minutes
  • Movie stars coding lab30 minutes

We introduce JavaScript objects, which are named collections of values, used to model real-world entities.

What's included

4 videos5 assignments1 discussion prompt3 ungraded labs

4 videosTotal 31 minutes
  • Introducing objects in JavaScript9 minutes
  • Data structure traversal (part 1)7 minutes
  • Data structure traversal (part 2)10 minutes
  • Save that data5 minutes
5 assignmentsTotal 150 minutes
  • What do we know about objects?30 minutes
  • Data structures quiz30 minutes
  • What do you know about JSON?30 minutes
  • CSV versus JSON30 minutes
  • JSON and web services30 minutes
1 discussion promptTotal 10 minutes
  • Other data interchange formats10 minutes
3 ungraded labsTotal 110 minutes
  • Object playground20 minutes
  • Shopping lists60 minutes
  • Working with web services30 minutes

Data structures can be embedded inside other data structures, to model more complex real-world entities.

What's included

4 videos1 reading2 assignments2 discussion prompts4 ungraded labs

4 videosTotal 24 minutes
  • Collecting your own data1 minute
  • Draw a chess board15 minutes
  • Parsing CSV files with headers4 minutes
  • Wordclouds3 minutes
1 readingTotal 15 minutes
  • Thinking about data structures15 minutes
2 assignmentsTotal 60 minutes
  • More CSV data analytics30 minutes
  • Choose your own data structure30 minutes
2 discussion promptsTotal 20 minutes
  • Your coding experiences10 minutes
  • Your data processing experiences10 minutes
4 ungraded labsTotal 240 minutes
  • Drawing boards60 minutes
  • Further CSV parsing60 minutes
  • Graph your own data60 minutes
  • Make your own wordcloud60 minutes

We integrate the various concepts we have introduced throughout this course, to build a data processing system to cluster data into similar groups

What's included

3 videos2 readings1 assignment1 peer review1 discussion prompt1 ungraded lab

3 videosTotal 15 minutes
  • Coding project overview6 minutes
  • Coding project hints7 minutes
  • More coding project hints2 minutes
2 readingsTotal 20 minutes
  • Code comments10 minutes
  • Project extensions10 minutes
1 assignmentTotal 30 minutes
  • Comments quiz30 minutes
1 peer reviewTotal 60 minutes
  • Iris code review60 minutes
1 discussion promptTotal 10 minutes
  • Your coding experiences10 minutes
1 ungraded labTotal 120 minutes
  • Iris code development120 minutes

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Instructors

University of Glasgow
4 Courses2,580 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.