Are you looking for R Programming courses in Singapore? Here are the Top 10 R Programming classes in Singapore. The average course fee for R Programming training in Singapore is S$1400 for a 2-day Generating and Understanding Insights from Machine Learning Analytics using R (CET253) course.
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
This R programming course in Singapore forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science.
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.
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.
RÂ is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.
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.
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.
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.
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