Structured Learning Assistance - SLA is a well known name for providing Online and classroom Business Analytics Certification Course by industry expert trainers. After completion of Business Analytics Certification Course, aspirants will get proper knowledge of various Data / Business Analytics tools like Python, Tableau, Qlikview, MS Excel, Power BI, OR, Alteryx, Automation in Excel (VBA/Macros), MS Access, SQL etc. SLA has industry experts trainers with advanced lab facilities and infrastructure for training programmes. It is built with all convenient facilities and positive study ambiance for the students. Fulfill the main task of placement, SLA aids in 100% job placement after completion of 70% course. Thus, its a time to grab this golden opportunity by opting this course. Benefits of R Programming R programming is a powerful and versatile programming language for data analysis and statistical computing. Some of the benefits of using R for data analysis include: Large Community and Support: R has a large and active user community, which means that there are many resources available for learning and problem-solving. R users can also easily find help through online forums and discussion groups. Wide Range of Packages: R has a vast collection of packages and libraries available, including packages for data cleaning, visualization, machine learning, and statistical modeling. This makes it easy to perform complex data analysis tasks without having to write extensive code. Customizable Visualizations: R provides a wide range of customizable visualization options, allowing users to easily create visualizations that communicate their findings effectively. This makes it easier to communicate insights to others and to understand complex data relationships. Reproducibility: R allows users to save and share their data analysis work, which makes it easy to reproduce results and ensure that data analysis is transparent and reliable. Integration with Other Tools: R can be easily integrated with other data analysis tools and platforms, making it easy to combine data from multiple sources and perform sophisticated data analysis tasks. Free and Open-Source: R is free and open-source, which means that anyone can use it for any purpose and make changes to the source code. This makes it accessible to a wide range of users and organizations, regardless of budget constraints. In summary, R is a powerful and versatile programming language for data analysis that offers a wide range of benefits, including a large community of users, a vast collection of packages and libraries, customizable visualization options, reproducibility, and easy integration with other tools.