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.
DurationData 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.
This course will teach principles of data preparation, visualisation, statistical analysis, predictive modelling and decision making using the programming language R. Many professionals may only be familiar with basic forms of analysis using Microsoft Excel and may not be aware of more powerful data analytics tools which are made available for use by R.
This course will explore the strengths of the ‘R’ programming language, in numerical data preparation, analysis and modelling via case studies. Participants will be provided with a broad understanding of data analytic processes and the tools used. By the end of the course, participants will better appreciate analytical processes and use data tools to perform a broad spectrum of analytical operations.
Course Outline:
Singapore Polytechnic was set up on 27 October 1954, making it the very first polytechnic to be established in Singapore.
Singapore Polytechnic started out right in the heart of the financial district. Today, the polytechnic is located strategically in Dover Road - in the educational belt and science hub in the western part of Singapore.
Our graduates have contributed significantly to Singapore's economic and industrial growth and many are now well-known entrepreneurs. Others hold positions of responsibility and leadership in industry, business and in public organisations.
We may be the oldest Polytechnic but the pioneering spirit is kept very much alive. Look around our campus. We are constantly refurbishing the buildings and facilities to ensure that they are up to date and well equipped for training students in the new industries and emerging technologies.
The change and development is not limited to the physical. Our underlying philosophy and leadership provide the direction for our vision.
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.
This course allows you to obtain in-depth knowledge by laying a strong foundation and covering all the latest topics. The increasing demand curve for data analytics professionals to manage the large set of data in various organizations along with this course certificate
R programming language is a free, open-source software used for all kinds of data science, statistics, and visualization projects. R analytics is powerful, versatile, and able to be integrated into BI platforms, to get the most out of business-critical data.
f you’re looking to start a career in data analysis — or just trying to make better business decisions in general — learning the basics of the R programming language is a great place to begin.
RÂ is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.
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