Computational Thinking with JavaScript 2: Model & Analyse

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Computational Thinking with JavaScript 2: Model & Analyse

This course is part of Computational Thinking with JavaScript Specialization

Instructors: Quintin Cutts

Included with

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4 modules

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

4 modules

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

Learners will discover how to process, analyse and visualize data using simple JavaScript libraries and data structures.

Skills you'll gain

Tools you'll learn

JSON

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments¹

AI Graded see disclaimer

Taught in English

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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 a sequence of four courses that develops essential 21st century computational thinking (CT) skills using the popular JavaScript programming language.

At the end of this second course you will: know a framework for CT to help you model the real world using abstract data structures; have developing CT skills so that you can perform comon data analytics tasks; be able to read and write programs in JavaScript that involve processing, analysing and visualizing data, using a specialised library; and post your creations on the web to share your code with others. This course is suitable for: learners who have taken the first course in this specialization 'Computational Thinking in JavaScript 1: Draw and Animate' or for those who have basic JavaScript skills and want to learn about simple data analytics.

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 videos Total 30 minutes

Welcome to the course 3 minutes
Modifying arrays in JavaScript 3 minutes
Going through arrays with for loops 6 minutes
Variables have roles 7 minutes
Introducing CSV files 5 minutes
Two-dimensional arrays 5 minutes

2 readings Total 10 minutes

Who am I? More about Jeremy Singer 0 minutes
Introducing arrays 10 minutes

2 assignments Total 60 minutes

Introductory arrays quiz 30 minutes
Interacting with data in CSV files 30 minutes

1 programming assignment Total 30 minutes

Movie stars assignment 30 minutes

3 discussion prompts Total 30 minutes

Thinking about arrays 10 minutes
My first CSV file 10 minutes
Any problems? 10 minutes

3 ungraded labs Total 100 minutes

Coding with arrays 10 minutes
Parsing CSV files in JavaScript 60 minutes
Movie stars coding lab 30 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 videos Total 31 minutes

Introducing objects in JavaScript 9 minutes
Data structure traversal (part 1) 7 minutes
Data structure traversal (part 2) 10 minutes
Save that data 5 minutes

5 assignments Total 150 minutes

CSV versus JSON 30 minutes
JSON and web services 30 minutes
What do we know about objects? 30 minutes
Data structures quiz 30 minutes
What do you know about JSON? 30 minutes

1 discussion prompt Total 10 minutes

Other data interchange formats 10 minutes

3 ungraded labs Total 110 minutes

Object playground 20 minutes
Shopping lists 60 minutes
Working with web services 30 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 videos Total 24 minutes

Collecting your own data 1 minute
Draw a chess board 15 minutes
Parsing CSV files with headers 4 minutes
Wordclouds 3 minutes

1 reading Total 15 minutes

Thinking about data structures 15 minutes

2 assignments Total 60 minutes

Choose your own data structure 30 minutes
More CSV data analytics 30 minutes

2 discussion prompts Total 20 minutes

Your coding experiences 10 minutes
Your data processing experiences 10 minutes

4 ungraded labs Total 240 minutes

Drawing boards 60 minutes
Further CSV parsing 60 minutes
Graph your own data 60 minutes
Make your own wordcloud 60 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 videos Total 15 minutes

Coding project overview 6 minutes
Coding project hints 7 minutes
More coding project hints 2 minutes

2 readings Total 20 minutes

Code comments 10 minutes
Project extensions 10 minutes

1 assignment Total 30 minutes

Comments quiz 30 minutes

1 peer review Total 60 minutes

Iris code review 60 minutes

1 discussion prompt Total 10 minutes

Your coding experiences 10 minutes

1 ungraded lab Total 120 minutes

Iris code development 120 minutes

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Instructors

Quintin Cutts

University of Glasgow

4 Courses 2,529 learners

Offered by

University of Glasgow

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