SAS Certified Statistical Business Analyst Using SAS 9 – Regression and Modeling
SAS Certified Statistical Business Analyst Using SAS 9 – Regression and Modeling (A00-240) has demonstrated the ability to use SAS/STAT software to conduct and interpret complex statistical data analysis. They are skilled in such tasks as analysis of variance, linear and logistic regression, preparing inputs for predictive models, and measuring model performance.
This self-paced learning is intended for individuals who require a solid foundation in using SAS software to conduct and perform complex statistical data analysis and who can learn autonomously. The included content aids you prepare for the SAS Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling (A00-240) credential.
SAS Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression:
This basic course is for SAS software users who conduct statistical analyses using SAS/STAT software. The focus is on t-tests, ANOVA, and linear regression, and the course covers a brief introduction to logistic regression.
Predictive Modeling Using Logistic Regression:
This course includes predictive modeling using SAS/STAT software with stress on the LOGISTIC procedure. This course also addresses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, evaluating models, treating missing values, and using efficiency techniques for massive data sets.
The Statistical Business Analyst manages SAS software to conduct statistical analyses and predictive modeling, including linear and logistic regression, variance analysis, and model production measurements.
The A00-240 certification exam features 60 multiple-choice and short-answer questions, a two-hour time limit, and applicants must answer at least 68 percent of the questions accurately to pass the exam. There are no credential prerequisites needed to take this exam, though a precise knowledge of several related skills and techniques is required.
SAS Statistical Business Analyst Skills
The role of the SAS Statistical Business Analyst is one that requires much technical knowledge. SAS Statistical Business Analysts have to have experience in advanced mathematics such as linear algebra, probability, and analysis.
They also have to be tech-savvy, especially when it comes to data opening and cleaning. They also have to have expertise in SQL databases, R and SAS languages, and big data programs like Hive and Hadoop.
SAS Statistical Business Analysts also have to have excellent communication skills to explain their decisions to decision-makers who are not experts in Statistical Analysis.
Here are some of the skills a SAS Statistical Business Analyst requires to find employment:
- Using strategic reasons to set data collection parameters for research campaigns.
- Using data mining software to scrub and make raw data.
- Using SAS and R software to manage multiple statistical analyses.
- Presenting analysis to decision-makers using data visualization graphics.
SAS Statistical Business Analyst Duties and Responsibilities
Using statistics to aid their employers to make better business decisions involves various duties and responsibilities. I dissolved a collection of SAS Statistical Business Analyst job descriptions to come up with the following list of the most critical tasks and responsibilities.
Develop and Implement Data Collection Strategies:
The first business in the statistical analysis process is to get data. SAS Statistical Business Analysts set the parameters for what data is required, the method of data collection, and the target number of participants. They are also responsible for handling lower-level employees who assemble the data.
Secure and Organize Raw Data:
Raw data has to be made and “cleaned” before it can be analyzed. SAS Statistical Business Analysts practice their set parameters to disqualify bad data, and then arrange the data into a spreadsheet.
Analyze and Interpret Data Using Statistical Analysis Software:
Once the data is organized and refined, it is ready to be analyzed. SAS Statistical Business Analysts utilize software such as SAS and R to perform complex statistical analyses. This is where they make meaning out of the data.
Modern Data to Decision Makers and Stakeholders:
SAS Statistical Business Analysts do not just have to make meaning out of data. They also have to be able to demonstrate the importance of their findings in layman’s terms. This means creating statistical reports and data visualizations and using them to present results to decision-makers and stakeholders.
SAS Statistical Business Analyst Job Description
SAS Statistical Business Analysts collect, design, analyze, and present data related to their employer. Their analysis is used to aid senior decision-makers in business strategy and make personnel decisions. Given the growing importance and complexity of data, SAS Statistical Business Analysts can find employment in a variety of industries. One avenue of jobs is to work for the government.
The work environment for SAS Statistical Business Analysts is your standard office environment. This is an administrative position with a traditional corporate structure, and they work under a Senior SAS Statistical Business Analyst.
SAS Statistical Business Analysts are set to rise a vast 27 percent through 2026. This is one of the fastest-growing fields due to the prevalence of technology and “big data” in the business sector.
SAS Statistical Business Analyst Salary
According to the salary survey, the average salary of the SAS Statistical Business Analyst is $76,000.
SAS Statistical Business Analyst Certification is a worthy pursuit. It attests to the SAS skills of the certified. It can enhance one’s marketability.