What Does a Statistical Modeller Do After Base SAS Training?

Jun 5th 2015 at 2:09 AM

Anyone interested in the evergreen statistical modelling profession can take up BASE SAS training and then progress to take up Advaced SAS. Expanded as Statistical Analysis System, SAS is currently the flavour of the times and for the coming generations too. A highly powerful and versatile tool, it is used by data modellers and scientists alike. The following information inspects some of nitty-gritty details surrounding the statistical modelling profession.

What does a statistic modeller do?

At the outset, a statistical modeller collects data. The data is generally quantitative. There is no arbitrary way of culling data. It is generated from testing, product experimentation, simulation, social media wisdom, questionnaires & surveys etc. Derived values from this data are anything that can be measured. Common examples being sales costs, prices, expenditure, employee turnover, performance output and soon. The next step is to apply mathematical equations in an effort to analyse data. If the applied equations are successful, then it becomes a statistical model.

Essentially, the objective is to forecast trends, arrive at conclusions, derive business intelligence and help companies make data-driven decisions. When it comes to statistical modelling for a business and its tangible and intangible assets, the issue of “business being a gamble” element is phased out. There is no good luck and bad luck. There are no chance wins and playing the odds. Everyone is sure of what they are doing based on data models received from the past. That is why companies hire professionals with Base SAS training.

Example scenario

In an example situation, if a manufacturer wants to know how the increase of gas prices affects their business, they call upon a statistical modeller. This professional obtains different models based on varying gas prices. The variance of gas prices is correlated with production costs. Sales and revenue impacts are derived. This is a simple scenario that allows a manufacturer to prepare for impending situations. Likewise, there could be more complex business scenarios as well. Businesses now rely on data-driven intelligence rather than abstract here-say and perceptive intelligence.

Typical day of a statistical modeller

This professional spends most of their time executing statistical modelling tasks. The preliminary steps of design, development, and analysis using SAS are performed. Mathematical equations are derived. Graphical representations are created. Techniques like regression and segmentation are used extensively. This is a varied, diverse and interesting job. The road to this prestigious job begins with a Base SAS training.

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