SAS Academy For Data Science: SAS Certified Advanced Analytics Professional
In this course Students learn a variety of machine learning and predictive modeling techniques, and how to apply the techniques to big distributed and in-memory data sets. Students also learn about experimentation in business, optimization, and time series forecasting
To enroll in the advanced analytics certification program, you need at least six months of programming experience in SAS or another programming language, and at least six months of experience using mathematics, statistics, or both in a business environment. We also recommend that you first complete the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course, which is available as an instructor-led or free online e-learning course.
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Who should attend Individuals with a least six months of programming experience in SAS or another programming language, and at least six months of experience using mathematics, statistics, or both in a business environment. A master's degree or higher in a quantitative or technical field is recommended but not required.
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SAS Institute
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
SAS is a business user software and is used in the entire industry, be it IT, Retail, Pharma, Banking and Finance, Retail, Manufacturing, etc. Besides it’s user-friendly software and easy to pick-up, the only pre-requisite is knowledge of MS-Office. Only for the Analytics course, one needs to know basic statistics. You could be from any back ground; no prior IT experience is required.
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रिज्यूम पोर्टल का मुख्य उद्देश्य योग्य छात्रों की जानकारी सार्वजनिक पटल पर लाने की है जिससे जिन्हें आवश्यकता हो वह अपने सुविधा अनुसार छात्रों का चयन कर सकते हैं
