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Introduction to Data Science

Microdegree ( 3 Months Part-Time )

Without organisation and interpretation, data is essentially useless. It most cases, it takes someone with the skill to construct meaning from what seems like chaos. This course equips you with the fundamental skills needed to analyse data and construct meaning from data, thereby realising its value.

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Course Overview

This course covers the fundamentals of software development, offering a beginner-level introduction to the Python programming language and a comprehensive guide to data science libraries such as Matplotlib, Scikit Learn, NumPy, and NLTK, among others.

You’ll explore foundational concepts from thinking like a programmer, to practical usage of common software development tools and resources, to concepts such as data and control structures, control flow, object orientated programming, data analysis, data visualization, machine learning, natural language processing etc..

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Short Course

Access to course content

Get paired with a 1:1 mentor (learn how it works)

Career guidance and job
search support

Get your code and assignments
reviewed by your mentor
on the day of submission

Earn a Hyperion certification

Weekly video calls with mentor

On-demand priority live chat
with your mentor

$899 per month

$2,250 3 months up-front

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You may be eligible for a scholarship

Course Syllabus

Our courses are designed to help you learn programming skills through practice. Here are the practical projects you'll complete with the help of a mentor as part of this course:



SECTION 1

Tools of the Trade

We start looking at the Python programming language to learn the tools we'll be needing in the path of this course. We'll be learning how to create a variety of apps for different purposes that utilise a variety of programming and data structures - while also being able to interact with the user. This will all put is in good stead for what is to follow.

SECTION 2

Into The Deep

Now we can begin using our knowledge and applying it to the big data world. With tools such as Numpy and Matplotlib at our disposal we start looking at how we can programmatically handle the highly complex concepts of Natural Language Processing and Machine Learning - arguably two of the most vital components of advanced computing in the modern age of big data.





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What Our Alumni Say

Throughout the years, we’ve helped many people acquire new coding expertise and sharpen their skills as they prepared to embark on new careers. We can tell you a lot about our bootcamp, personalised support, instant feedback and industry-aligned course content. But we believe our past students say it best.

Why Take This Course?

Computer science isn’t only for those that want to be programmers. This course teaches you how to think logically, through powerful methods like decomposition and abstraction. It develops problem solving skills that you can apply outside of the context of technology. You also learn the valuable skill of programming, which is becoming more important in the technological economy we’re in.


As much as non-technical people can benefit from this course, this doesn’t diminish its value to aspiring computer scientists. You will be challenged, and learn the fundamentals on which your future studies will be grounded in. A vital course to take.

What you get

Handwritten feedback on your work on the day of submission

On-demand priority live chat with your mentor and weekly 1:1 mentorship call

Full access to tailored course content and coding exercises

On-boarding guidance call with an expert mentor to check you're on the right course

Certificate and professional reference on completion

Post graduation career support