Today, the word's data is growing at an astonishing rate. It is said that the world's most valuable resource is no longer "oil", but "data". More and more, we see forward-looking corporates harvesting and analysing large complex datasets to improve competitiveness.
DurationToday, the word's data is growing at an astonishing rate. It is said that the world's most valuable resource is no longer "oil", but "data". More and more, we see forward-looking corporates harvesting and analysing large complex datasets to improve competitiveness.
Every now and then, we come across narratives of how disruptive technology can be, and have heard mantras that we need to continually acquire new skillsets such as analytics and data science to stay relevant in this increasingly digitalised world. Yet, how much do we really know about these subjects?
This course endeavours to equip learners with the essentials of R programming, a powerful statistical and machine learning tool at the heart of data science and data analytics.
Through this course, learners will acquire the skillsets to:
Topics:
SUSS is a university with a rich heritage in inspiring lifelong education, and transforming society through applied social sciences. We develop students and alumni to be work-ready and work-adaptive, aspiring to reach their full potential, through our 3H's education philosophy – 'Head' for professional competency with applied knowledge, 'Heart' for social awareness to meet the needs of the society, and 'Habit' for passion towards lifelong learning.
We offer more than 90 undergraduate and graduate programmes, available in full- and part-time study modes which are flexible, modular and inter-disciplinary, catering to both fresh school leavers and adult learners. SUSS also offers a broad range of continuing education and training modular courses for the professional skills upgrading of Singapore's workforce.
By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc
Data science is the future and among the hottest trends in the job market right now. Not only IT, but every sector, from Banking to Healthcare, and Transport to E-Commerce, is now realizing the disruptive powers of data science and using it to enhance business.
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation.
Data analytics skills are much sought after in many industries especially in organisations that are custodians of huge amounts of data. These skills are essential for preparing, visualising, analysing, modelling and presenting data in ways that provide meaningful insights.
Participants will acquire the skills related to the implementation of unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from their data.
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