Introduction to R Programming

• Understand the fundamentals of ‘R‘
• Learn how to transit from existing software in analytics into an ‘R-based’ system at zero cost.
• Get a broad insight into analytics and acquire skills in methodologies and techniques.
• Get familiar with data science as a career option with practical knowledge. Recommended Audience: This course is recommended for:

• Developers working in the field of Business Intelligence
• SAS developers who are trying to move to open source technologies
• Statistics students with basic knowledge of programming, who want to become Data Scientists.
• For all who are interested in working in the analytical industry and are interested in improving their technical skills using the latest techniques.

• The pre-requisites for learning ‘Business Analytics with R’ include basic mathematics and good analytical skills. The good news is that – as this is an applied course, the focus will be on real-world case studies rather than just the theory

• Professional explanation with practical samples and examples.

• Powerpoint handouts and module printouts.

• Data Structures, Variables, Control Flow, Functions
• Getting Data into the R environment,
• Explore R’s key features and wide range of packages, built for data science
• Develop, execute, and modify R scripts
• Learn how to use different data mining sequences
• Find out how to organize your data effectively
• Produce high-quality data visualizations
• Get to grips with a number of approaches to the statistical analysis of data
• Learn how to cultivate a strategic approach to your data to use the right tools, models and visualizations to get the job

Previous courses

Programming and Algorithmization Basics [PRG]