
Data Science
Data Science is a multifaceted skill that has become indispensable in today's digitized world. Organizations hire candidates who excel in Data Science to uncover patterns, derive meaningful insights, and predict future outcomes from vast amounts of structured and unstructured data. These professionals have a unique blend of statistical, mathematical, and technical skills, combined with business acumen, which allows them to analyze complex data sets and translate their findings into strategies that drive business performance.
Assessment Details
US $15
Performance Analysis report
40 minutes
40 MCQ
Certificate of Specialization
Credential of Readiness
Test Syllabus
The Data Science Skill Test offers a thorough evaluation of a candidate's practical competencies in the field of data science. This includes their ability to manipulate and analyze large sets of data, apply various analytical methods, and use their findings to create meaningful business strategies.
Topics covered in the test:
Introduction to Data Science
R Concepts
Python Basics
High Dimensional Space, Best - Fit Subspaces and Singular Value Decomposition
Machine Learning
Big Data, Hadoop and NoSQL Concepts
Clustering and Random Graphs
Text Mining, Text Analytics and Data Visualization
Regression
Decision Trees
Neural Networks
Related Roles
Having verifiable Data Science skills can give you an edge in a variety of professional settings. The ability to extract insights from data and make informed decisions is increasingly sought after across industries.
Internship Roles:
Data Science Intern
Machine Learning Intern
Big Data Analyst Intern
Data Visualization Intern
Research Analyst Intern
Data Engineering Intern
Full-Time Roles:
Data Scientist
Machine Learning Engineer
Big Data Analyst
Data Visualization Specialist
Research Analyst
Data Engineer
Data Architect
Artificial Intelligence Engineer
Business Intelligence Analyst
Deep Learning Engineer
Predictive Analyst
Quantitative Analyst
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