This Exam is designed for students at the Advanced level.
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This Exam provides content in Visual format.
This Exam awards a NA upon successful completion of all learning tasks.
The advanced predictive modeling exam is tailored for analysts working with big data and advanced machine learning techniques. Successful candidates are expected to have hands-on experience with creating complex predictive models and utilizing big, distributed, and in-memory data sets. This certification focuses on the ability to deploy open-source models in SAS, apply advanced machine learning algorithms, and harness the power of SAS for scalable data analysis and model building.
One of the core skills tested is deploying open-source models within the SAS environment. This involves integrating popular machine learning frameworks like Python, R, or TensorFlow with SAS to create a seamless data science workflow. By utilizing SAS’s capabilities alongside open-source tools, analysts can leverage the best of both worlds, ensuring that their models are both effective and adaptable to various data environments.
Candidates must also be proficient in using machine learning and predictive modeling techniques. These techniques are essential for analyzing large data sets and building models that predict outcomes based on historical data. Machine learning algorithms, such as decision trees, random forests, and neural networks, allow analysts to uncover patterns and make data-driven predictions. By applying these techniques to big, distributed, and in-memory data sets, candidates will be able to process large volumes of data quickly and efficiently, ensuring accurate and timely predictions.
Moreover, candidates must demonstrate the ability to work with big data environments, particularly when dealing with distributed or in-memory data. This skill allows analysts to handle vast data sets that may span across different systems or be stored in-memory for faster processing. With the advent of technologies like cloud computing and high-performance computing, being able to deploy models on such infrastructures is a critical skill for today’s data-driven industries.
In conclusion, the advanced predictive modeling certification for SAS is ideal for analysts aiming to elevate their machine learning and big data skills. By mastering the ability to deploy open-source models, apply machine learning techniques, and handle large, distributed data sets, candidates will gain the expertise needed to create robust and scalable predictive models. This certification offers valuable knowledge that is highly relevant in industries that rely heavily on big data analytics, such as finance, healthcare, and technology.
