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Online General Data Science Test - Pre-Employment Skill Assessment
What is the test about?
This Data Science Test comprehensively assesses a candidate’s understanding of data science principles, methods, and tools. It will help you identify professionals who can effectively manipulate, analyze, and interpret various types of data to drive business decisions and strategy.
Covered skills
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.
Who should take this test?
Data Scientist, Statistician
Description
Data Scientists play a crucial role in businesses, leveraging their understanding of statistics and algorithms to extract actionable insights from vast volumes of raw data. Their skills in utilizing various data science tools and methodologies, including Python, R, SQL, and Machine Learning algorithms, enable them to offer valuable strategic and operational insights, identify trends, and make predictions.
This comprehensive Data Science Test evaluates candidates' knowledge in key areas of data science including data exploration, data manipulation, data cleaning, statistical analysis, predictive modeling, and machine learning. It also assesses their proficiency in key data science languages such as Python and R, SQL for data retrieval, and various data visualization tools.
Candidates who perform well in this test will demonstrate a solid grasp of data science principles and a strong ability to use different data science tools. They will have the necessary technical skills to manipulate and analyze data effectively, and the analytical skills to interpret their findings, thereby facilitating informed business decisions.
This comprehensive Data Science Test evaluates candidates' knowledge in key areas of data science including data exploration, data manipulation, data cleaning, statistical analysis, predictive modeling, and machine learning. It also assesses their proficiency in key data science languages such as Python and R, SQL for data retrieval, and various data visualization tools.
Candidates who perform well in this test will demonstrate a solid grasp of data science principles and a strong ability to use different data science tools. They will have the necessary technical skills to manipulate and analyze data effectively, and the analytical skills to interpret their findings, thereby facilitating informed business decisions.
Overview
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.