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AdelaideX: Programming for Data Science

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Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

Programming for Data Science
10 weeks
8–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

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Starts Nov 7
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Programming for Data Science

About this course

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There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area.

Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

You will learn algorithm design as well as fundamental programming concepts such as data selection, iteration and functional decomposition, data abstraction and organisation. In addition to this you will learn how to perform simple data visualisations using Processing and embed your learning using problem-based assignments.

This course will test your knowledge and skills in solving small-scale data science problems working with real-world datasets and develop your understanding of big data in the world around you.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Data Selection, Computational Thinking, Data Abstraction, Programming Concepts, Big Data, Data Analysis, Algorithm Design, Data Science

What you'll learn

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  • How to analyse data and perform simple data visualisations using Processing
  • Understand and apply introductory programming concepts such as sequencing, iteration and selection
  • Equip you to study computer science or other programming languages

Syllabus

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Week 1: Creative code - Computational thinking

Understanding what you can do with Processing and apply the basics to start coding with colour; Learn how to qualify and express how algorithms work.

Week2: Building blocks - Breaking it down and building it up

Understand how data can be represented and used as variables and learn to manipulate shape attributes and work with weights and shapes using code.

Week3: Repetition - Creating and recognising patterns

Explain how and why using repetiton can aid in creating code and begin using repetition to manipulate and visualise data.

Week4: Choice - Which path to follow

How to create simple and complicated choices and how to create and use decision points in code.

Week5: Repetition - Going further

Discussing advantages of repetition for data visualisation and applying and reflecting on the power of repetitions in code. Creating curves, shapes and scale data in code.

Week6: Testing and Debugging

Understanding why and how to comprehensively test your code and debug code examples using line tracing techniques.

Week7: Arranging our data

Exploring how and why arrays are used to represent data and how static and dynamic arrays can be used to represent data.

Week8: Functions - Reusable code

Understand how functions work in Processing and demonstate how to deconstruct a problem into useable functions.

Week9: Data Science in practice

Exploring how data science is used to solve programming problems and how to solve big data problems by applying skills and knowledge learned throughout the course.

Week10: Where next?

Understand the context of big data in programming and transform a problem description into a complete working solution using the skills and knowledge you've learned throughout the course, and explore how you can expand the skills learned in this course by participating in future courses.

Frequently Asked Questions

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Question: Why does this course use Processing?
Answer: We have chosen to use Processing within ProgramX as this language gives visual feedback to the learner, is readily accessible (only requires a free install of Processing) and is suitable as a language to teach fundamental programming concepts that can be readily adapted to other languages. Other courses within the Big Data MicroMasters program build upon the programing concepts and are taught using languages selected as appropriate for the teaching and learning context.

Question: This course is self-paced, but is there a course end date?
Answer: Yes. The current course run ends on 31 December 2026.

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Big Data MicroMasters Program

Learn more 
Expert instruction
5 graduate-level courses
Self-paced
Progress at your own speed
1 year
7 - 9 hours per week

Ways to take this course

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Certificate

Free

Price

$199 USD

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Access to course materials

Unlimited

Limited

Expires on Jan 16, 2025

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Shareable certificate upon completion

Graded assignments and exams

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