This course equips students with a foundational understanding of statistical concepts essential to data science and AI. Topics include exploratory data analysis, hypothesis testing, probability theory, the impact of biased or incomplete datasets, and statistical inference, with an emphasis on supporting evidence-based decision-making in research, policy, and professional environments. Students will gain hands-on experience with statistical software tools and programming libraries to address real-world data problems.