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.
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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This course is designed for students who have taken one of Hyperion's intermediate courses, or have equivalent experience (1 year + programming experience)
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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|$899 per month |
$2,250 3 months up-front
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:
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.
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.
Not sure which course to take or have a question? Get in touch with our course consultants who are happy to advise.
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.