数据科学研究生证书

在迈向大数据革命领域的职业生涯中迈出第一步。当前对数据科学家的需求很高，此研究生证书将为您准备工作场所或攻读硕士学位奠定基础。全球每天都会产生大量数据。理解它的需要已经引起了“大数据”的革命性领域，并催生了“数据科学家”的新职业。数据科学家从看似​​混乱的局面中发现了模式，意义和价值。该研究生学位是作为三个课程（研究生证书，研究生文凭和硕士学位）的一部分提供的。每个资格证书延伸到下一个，因此您可以轻松地过渡到硕士级别的资格证书。
The University of South Australia’s Graduate Certificate in Data Science gives you current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both.Taught by leading researchers you will learn to analyse and solve complex problems involving large volumes of data. You will also develop specialised technical skills in generating statistics and manipulating large databases.Take the first step on your career journey towards the revolutionary field of big data.Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of ‘Big Data’, and to a new career of ‘data scientist’. Data scientists find patterns, making meaning and drawing value from the seeming chaos.This postgraduate degree is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification.<br><br>Career outcomes - : The field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation. Analytics, science, data, and reasoning are becoming embedded into decision-making processes, every day and everywhere in the business world1.<br><br>Careers to consider:<br><br> big data visualiser: using visualisation software to analyse data, drawing implications and communicating findings; providing input on database requirements for reportinganalytics; acquiring, managing and documenting data (e.g. geo-spatial); creating visualisations from data or GIS data analysis<br> data scientist: understanding interfaces, data migrations, big data and databases; taking the lead in processing raw data and determining the best types of analysis; mining large volumes of data to understand user behaviours and interactions; communicating data findings to IT leadership and business leaders to promote innovation<br> business data analyst: working with stakeholders, analysts and senior management to understand business strategy and the questions that need to be asked; identifying research needs; designing experiments and making recommendations based on results; driving complex analytics projects to support the business<br> information security analyst: reporting and recommendations to prevent security incidents; security control monitoring; implementing new security technology, methods and techniques; championing security best practice; reviewing systems for security risks and compliance issues