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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.

In partnership with

This course is supported by the authorities and organisations shown here. This ensures that our courses are of premium quality.


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 Accredited by

CSA: The Computer Science Association of South Africa is a professional body formed in partnership with Google to promote, protect, and advance Computer Science and software development education in the country.

MICT SETA: The MICT SETA partners with industry, Universities and TVET colleges (both public and private) in the delivery of respective learning programmes in its endeavour to address identified scarce skills. Its commitment to expand and improve provision of skills development for SMMEs and rural communities will contribute towards addressing the requisite skills immeasurably.


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 Difficulty
advanced Advanced

This course is designed for students who have taken one of Hyperion's intermediate courses, or have equivalent experience (1 year + programming experience)



Course Overview


Technologies

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

Register Now

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


Register Now


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.







Speak to a consultant

Not sure which course to take or have a question? Get in touch with our course consultants who are happy to advise.





Andrea Tickner



Tamsyn Smith



Students Reviews




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Why Take This Course?



Data Science is a field that is growing at an exponential rate. Often mixed or related to terms like ‘Artificial Intelligence’. ‘Machine Learning’, and ‘Big Data’, it’s easy to get confused. This course has been developed in partnership with top research institutions in Data Science, such as the University of Cambridge, Oxford, and Edinburgh in the United Kingdom.

The course proceeds by introducing various fields related to Data Science. Data Science is centred around analysing certain types of data. Biological data is explored in a computational biology exercise, human language data in natural language processing tasks, and core machine learning - which powers much of Artificial Intelligence - is also introduced. General data visualisation and exploration toolkits are also explored.



What you get



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Handwritten feedback on your work on the day of submission

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

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Full access to tailored course content and coding exercises

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

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Certificate and professional reference on completion

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Post graduation career support