How are SAS and Statistical Analysis So Important Today?

Statistics is one such field that touches lives in various ways today. Starting from daily routine jobs at home to business needs involving the way cities run, statistics and its effects are felt almost everywhere.

What is Statistical Analysis?

By definition, it is the science of gathering, exploring as well as presenting large volumes of data in order to discover the underlying trends and patterns. Statistics are generally applied in our day to day life, in industry, government and research, which makes it easier to take scientific decisions. For instance, the manufacturing industry and the service industry utilize statistics in almost everything. Right from the need of statistics for weaving quality for delivering the best fabric to having data for delivering the best in airline industry, there is hardly any industry that can work without statistical analysis.

Likewise, researchers can keep kids healthy with the help of statistics used for analyzing data collected from hospitals. Moreover, data collection from use of vaccines can be analyzed to ensure safer and more efficient vaccines for the future. Communication companies also use statistics for optimizing network resources, improving service, and reducing customer churn by developing better insight to the requirements of subscribers. Even government agencies worldwide rely on statistics to gain a clear understanding of respective countries, businesses and people.

To become a SAS professional, one has to take SAS training. There are different certification programs to help learners in this regard.

Statistical Computing – The New Dimension

Conventional methods involved in statistical analysis, such as data sampling and data interpretation, have further been used by researchers and scientists for thousands of years. However, data volume in the recent times makes statistics more powerful and valuable. Powerful computers, affordable storage and latest algorithms have contributed to better use of diverse computational statistics.

Whether your work involves multiple permutations of calculation or large volume of data, statistical computing is one essential element for statisticians today. There are some popular methods of statistical computing noted below:

• Statistical Programming: Statistical programming is the basis of SAS including conventional variance analysis as well as linear regression. With methods like statistical visualization and regression, statistical programming is needed to come to data-based decisions in all fields.


• Operations Research: It helps users identify actions that can produce better results based on several possible outcomes and options. Scheduling, related modeling and simulation processes are utilized for optimizing management challenges and businesses processes.


• Econometrics: An essential part of SAS training that helps you learn and implement forecasting, modeling and simulating different businesses processes for overall improved tactical and strategic planning. With this method, it is possible to apply statistics to economics and forecast trends for the future.


• Matrix Programming: Potent computer techniques to implement statistical methods as well as exploratory data analysis with the help of row operations algorithms.


• Statistical Quality Improvement: This is a mathematical technique to review the safety and quality of characteristics of different aspects of production.


• Statistical Visualization: Fast and interactive statistical analysis with exploratory capabilities in visual interface to comprehend data and build models.


• High-performance Statistics: For greater data challenges, parallel-processing and in-memory infrastructures can fit all predictive models much faster, use complication techniques for better results, and perform modeling iterations.

Career in Statistical Analysis

Statistical Analysis training can lead to a successful career in the field of SAS provided that individuals have the knack to work hard. Because this field is vast, it requires technical expertise to excel. When right services are delivered to the right group of people on time, SAS can deliver more than expected. SAS provides few industry-leading operational analytics that can redefine ways of managing various aspects of process optimization, forecasting and planning, reporting, data management, data quality, and performance measurement.