SAS stands for Statistical Analysis System, and is a powerful, multifaceted product used for data mining and modeling that helps users gain actionable insights from data. A SAS Developer is experienced in utilizing the vast capabilities of SAS to create code optimized for getting the most out of the data. With the use of effective coding, an experienced SAS Developer is able to uncover hidden gems within the depths of managed data.
Here's some projects that our expert SAS Developers made real:
- Clustering and analyzing data
- Cutting-edge multivariate regression and T-test analyses
- Time series analysis to accurately predict trends
- Database extraction and manipulation
- Deductive statistical methods such as curve fitting
- High level development consultancy on educational projects
With the vast capabilities of SAS, an experienced SAS Developer can help you make educated decisions based on quality data backed knowledge. Whether it's creating hi-end analytics models or helping to build predictive models, count on an experienced SAS Developer on Freelancer.com to help you maximize the potential out of your data! Invite your project to find out what a freelancer can do for you today - post your task now and hire a Freelancer with SAS skills to make it real today!Från 8,933 betyg, betygsätter kunder vår SAS Developers 4.92 av 5 stjärnor.
Anlita SAS Developers
I am seeking a SAS analyst to analyze existing structured datasets for my project. The goal of the analysis is to gain insights and identify any patterns within the data. The timeframe for completing the analysis is 1 day, so I am looking for someone who can work efficiently and accurately. Ideal skills and experience for this job include: - Proficiency in SAS software - Strong understanding of data analysis and statistics - Attention to detail and ability to work quickly - Experience working with structured datasets If you meet these qualifications and can complete the project within the given timeframe, please submit a proposal.
I need help fixing a couple of correlations tables in R as part of a project I'm working on for school. Some of the correlations are wonky (for example, "led a class project" had a -0.33 correlation with "current salary" for MA graduates, which seems odd), so I was told to check for outliers and adjust any that are heavily skewing the data by moving them in two standard deviations. I figured out how to make scatterplots to see the outliers, but I'm not sure how to adjust those outliers. I also need to check each correlation for statistical significance so I can mark them in my table. I've spent some time in R, but I'm not much of a stats person or a coding person, so this has been a great source of frustration. I'm attaching the dataset for...