Hidden Risks in Data Science: Ethics, Bias, and Misuse of Data скачать в хорошем качестве

Hidden Risks in Data Science: Ethics, Bias, and Misuse of Data

In this video, Dr. E explores the hidden challenges and ethical risks involved in data exploration, analysis, and dissemination. You will learn how bias, privacy violations, misleading statistics, and improper data communication can impact research, policy, and everyday decision-making. Through real-world examples and practical explanations, this lecture highlights why responsible data practices are essential in today’s data-driven world. Whether you are a student, researcher, or data professional, this video will help you develop stronger ethical awareness and critical thinking skills in data science and statistics. 📊 Topics covered include: • Data privacy and confidentiality • Bias and p-hacking • Fairness and discrimination • Misuse of statistical results • Transparency and reproducibility • Ethical data communication Subscribe to Statistically Speaking with Dr. E for more lessons on statistics, data science, and responsible research.