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Building a predictive model is only part of data science. Before that comes understanding the problem and preparing the data. Afterwards comes evaluating the results, explaining limitations and deciding whether the model is useful in its intended setting.

This combination of statistical reasoning, programming and practical judgement makes data science a field worth investigating beyond the job title. If you are considering a career in data science, think about which parts of that work appeal to you and where your technical foundations need development.

UNSW Online’s data science articles explore career pathways, practical skills and postgraduate study. Use them to connect your learning goals with professional ambitions and look more closely at what developing expertise in this field can involve.

Explore all Data Science articles

Data Science, Technology and Data

How data science is transforming the way we talk to computers

June 14th, 2019

User Interface (UI) design has long been a priority for the computing industry, as companies have sought to differentiate themselves from their rivals by making their products easier to use or by p

Data Science, Technology and Data

Measuring feelings: The power of sentiment analysis

June 7th, 2019

Data science is an incredibly flexible discipline, capable of providing insights into basically any subject that can be described.

Data Science, Technology and Data

The democratisation of Artificial Intelligence

May 22nd, 2019

The ongoing development of artificial intelligence technology is transforming the global economy and creating new opportunities for innovation.

Data Science, Technology and Data

How can machine learning predict the future?

May 17th, 2019

As you walk towards your car you type a text message on your smartphone.

Data Science, Technology and Data

What is data science ‘Impostor Syndrome’?

April 12th, 2019

Over 40 years ago, in 1978, the academic paper that coined the term ‘impostor phenomenon’ was published.

Data Science, Technology and Data

The main approaches to machine learning explained

April 8th, 2019

Machine learning technology has made major advancements over the last ten years, turning concepts that were previously relegated to science fiction into real-life applications.

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