Data Science Knowledge Quiz

Issues of ethics, bias, and privacy in Data Science include ethical considerations in data collection, potential biases in data analysis, and privacy concerns in handling sensitive information.

Data Science is related to Information Science as it focuses on the extraction of knowledge from data, and to Computational Thinking as it involves problem-solving and algorithmic thinking using data.

Skills important for Data Science include programming, statistics, and domain knowledge, while important tools include programming languages like Python or R, data visualization tools, and machine learning libraries.

<p>Data Science and Information Science are closely related as Information Science provides the theoretical and practical foundations for organizing, retrieving, and analyzing data, while Data Science focuses on the extraction of knowledge and insights from structured and unstructured data.</p> Signup and view all the answers

<p>Ethical issues, biases, and privacy concerns are significant challenges in Data Science, as they can lead to misuse of data, unfair treatment of individuals, and breaches of privacy. Data scientists must navigate these issues by implementing ethical guidelines, addressing biases in data collection and analysis, and ensuring privacy protection measures.</p> Signup and view all the answers

<p>Key skills for Data Science include programming, statistics, machine learning, and domain knowledge, while essential tools encompass programming languages (e.g., Python, R), data visualization tools (e.g., Tableau), and big data frameworks (e.g., Hadoop). These skills and tools enable data scientists to manipulate, analyze, and derive insights from complex datasets.</p> Signup and view all the answers