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SDS FAQs
The SDS Exam is a professional certification designed to test advanced knowledge in data science. It checks not only technical skills like machine learning, statistics, and programming, but also how well you can solve business problems using data.
Most certifications use a standard question-and-answer format. The SDS exam is unique because it is a practical, performance-based exam taken in a live environment. You are presented with a complex, multi-faceted business problem and must complete a series of tasks from data ingestion to a final presentation—all within a proctored session. It’s less about what you know and more about how you apply it under realistic constraints.
The SDS exam is designed for people with a solid background in data science or analytics. You need at least a bachelor’s degree in fields like computer science, math, statistics, or engineering, plus four years of work experience in data-related roles. If you’ve been working as a data analyst or technologist and want to move into a senior data scientist role, this exam is for you. It’s not for beginners, so make sure you have the experience before signing up.
Certified Senior Data Scientists often command a significantly higher compensation package due to their validated skills in delivering high-value, complex data solutions, resulting in substantial salary differentiation from non-certified peers.
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Questions came word by
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Senior Data Scientist Questions and Answers
Which of the following is NOT a process of Use Case?
Which classification steps are performed in inductive techniques?
i. Training Step
ii. Test Step
iii. Validation Step
iv. Application Step
Tar is an example of:
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