Course overview

4 modules of 3 sprints delivered over 12-16 weeks

Objective

The objective of this course is to give people with no prior software development experience an introduction to programming and thinking about data. Common next-steps after this course are to get an entry level job in tech or IT, or to continue learning more advanced software engineering techniques to prepare for a software engineering job.

Primarily this is achieved by teaching programming concepts with JavaScript and Python and data concepts with SQL in spreadsheets. We also focus on professional development skills such as communicating effectively and working well on a team.

A pre-requisite of this course is having completed Code Your Future’s Intro to Digital course which teaches the basics of HTML and CSS.

Modules

Welcome to Code Your Future

Getting to know how the course works

  1. Acceptable AI Use

Onboarding

Version control

  1. GitHub.dev
  2. Install VSCode
  3. Check Git installation
  4. Create a work folder
  5. Version control software
  6. Sharing history
  7. Inspecting a commit
  8. Inspecting previous versions
  9. Forking a repository
  10. Working locally
  11. Viewing files from a git clone
  12. Branching
  13. Form building

Collecting and formatting data

  1. Databases with Google Sheets

Querying data, considering presentation

  1. Accessibility audit
  2. Interview Introductions

Structuring and testing data

Programming fundamentals

  1. Interacting with computers
  2. Using an interface
  3. Terminal interface
  4. Classifying data
  5. Evaluating expressions
  6. Prep dir
  7. Saving expressions
  8. Declarations and statements
  9. Functions
  10. Running scripts
  11. Logging
  12. Errors
  13. Percentages
  14. Declaring functions
  15. Playing computer
  16. Scope
  17. Returning from a function
  18. Reusing the function
  19. Parameterising a function
  20. Solving Problems with Functions

Comparisons, assertions, and breaking down problems

  1. Comparing current and target output
  2. Writing an assertion
  3. Interpreting errors
  4. Interpreting this error
  5. Reusing variable names
  6. Conditionally executing code
  7. Forming sub-goals
  8. Accessing strings
  9. Refactoring repetition
  10. Identifying missing tests

Test cases with Jest

  1. Testing frameworks
  2. Starting a project
  3. Using packages
  4. Installing Jest
  5. Jest's Application Programming Interface
  6. First test case
  7. Interpreting feedback
  8. Dead Code
  9. Generalising further
  10. Anonymous functions
  11. Arrow functions
  12. Testing Workshop

Data groups

Grouping data: Arrays and loops

  1. Prep dir
  2. Creating test files
  3. Grouping data
  4. Arrays
  5. Iteration
  6. References
  7. Mutation
  8. Side effects
  9. Arrays Workshop
  10. Fail Fast Prep

Grouping data: Objects

  1. Ordered data
  2. Key-value pairs
  3. Accessing properties
  4. Query strings
  5. Parsing a single key-value pair
  6. Access with variables
  7. Parsing multiple parameters
  8. Objects Workshop
  9. Prep Conflict Resolution

The DOM

  1. User interfaces
  2. Implementing a character limit
  3. The DOM
  4. Querying the DOM
  5. Updating the interface
  6. Timers
  7. DOM events
  8. Reacting to events
  9. Refactor

Data flows

UI Components

  1. How the internet works
  2. Usability Workshop Pre-reading
  3. Rendering Data as UI
  4. Composing elements
  5. Creating elements with functions
  6. Creating elements with <template>
  7. Reusable components
  8. Using map

State and Rendering

  1. Gathering requirements
  2. Reacting to user input
  3. Identifying state
  4. Refactoring to state+render
  5. Introducing new state
  6. Rendering based on state
  7. Capturing the user event
  8. Re-rendering
  9. Actually re-rendering

Fetch and Asynchrony

  1. Fetching data
  2. Latency
  3. Synchronous execution
  4. Callbacks
  5. Requesting from a server side API
  6. Promises
  7. .then()
  8. async/await
  9. Fetch Films