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.
DurationThis 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.
Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
Prerequisites
Students should have knowledge of plotting, manipulating data, iterative processing, and creating and applying functions. They should also have knowledge of linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
Our vision and mission are based on the belief that analytics changes the world.Connecting analytics and advocacy to create something new, better, purposeful and lasting.
Our Vision
To be the most trustworthy analytics partner on the planet.
We envision a world where everyone can make better decisions, grounded in trusted data and assisted by the productivity and speed of SAS® AI and analytics.
When decisions need to happen at just the right moment, you need the world’s most trustworthy analytics brand and people to give you confidence.
Our Mission
To provide knowledge in the moments that matter.
Making it easier and faster for more people to use powerful analytics shortens the path from data to insights and inspires bold new discoveries that drive progress.
The result is analytics that breaks down barriers, fuels ambition and gets results in the moments that matter most. Read about our mission in action.
Our Values
From the software we create to the conversations we share, our core values inform partners, customers and prospects about the type of relationship they can expect when they work with us.
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.
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.
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.
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
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.
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