Data science machine learning and data analysis using sas
- 1. Data Science - Machine Learning and Data Analysis using SAS The acronym SAS stands for Statistical Analytical System. SAS is the oldest tool developed for data science, machine learning, data analysis and data visualization. It was originally developed between the late 1960’s and early 1970’s by Dr. Jim Goodnight and Dr. John Sall in North Carolina State University. Dr. Jim Goodnight and Dr. John Sall hold master’ degree and Phd in statistics from North Carolina State University. It is a tool developed for advanced analytics and complex statistical operations. It is used by large scale organizations and professionals due to its high reliability. SAS is a closed-source proprietary tool that is highly expensive. SAS performs statistical modeling through base SAS which is the main programming language that runs the SAS environment. It is a commercial (closed source) proprietary tool that offers a wide variety of data visualization, statistical and machine learning capabilities to perform complex modeling. SAS is known for its stability and efficiency. Due to this reason, despite the presence of alternative open-source tools, SAS is preferred over the others. Industries have long trusted SAS as their primary tool for data analytics and business intelligence. This is due to high reliance, sophistication and stability that SAS provides to its clients. Learning SAS programming is easier than other open source, freely available tools. The SAS programming structure maintains consistency in terms of programming keywords used in different data science, machine learning and data visualization functionalities. SAS efficiently handles the large/big datasets. In short, understanding SAS is one of the valuable skills needed for a data science career. There is a lot to write about data science using SAS programming, however, we have covered the overall idea and role of SAS in data science in a precise way. Data science assignment helps you to solve SAS programming assignments and speed up your learning curve in data science using SAS programming.