Computing / IT
Data Scientist (Analyst) interview questions:
Successful individuals in the roles of Data Scientists, Managers, and Analysts excel in extracting actionable insights from the data generated by an organization. They possess a keen understanding of the data required for collection and follow a well-structured process for conducting effective data analyses and constructing predictive models.
The role of a Data Scientist focused on data analysis demands candidates with a solid foundation in key areas such as statistics, operations research, and machine learning. Additionally, they should have strong database skills, including proficiency in SQL, enabling them to retrieve, clean, and process data from a variety of sources. Multiple educational backgrounds can lead to this role, with candidates originating from mathematics, statistics, computer science, or engineering disciplines.
In this capacity, Data Scientists frequently work with scripting languages like R, Python, or MATLAB, with less emphasis on programming languages and general software engineering practices required for developing production-quality software. Some questions may need to be tailored toward more quantitative and statistical analysis topics. Moreover, this role often involves the presentation of analysis findings. Therefore, skills related to information visualization, such as knowledge of Tableau or D3.js, and effective communication abilities are highly valuable.
Basic ideas in statistics, probability and machine learning
Tools, visualization and presentation
Data Analytics Interview Questions
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