; (B) where data come from; and (C) what aspects of the world data represent. (2) Data science The term data science means the interdisciplinary use of statistics, mathematics, and computer science to analyze data and provide tools to interact with data. (3) Data science education The term data science education includes education in any of the following subjects: (A) Analytics. (B) Applied statistics and data science. (C) Artificial intelligence. (D) Data acquisition and management. (E) Data literacy. (F) Data quality and representation. (G) Data security and privacy. (H) Ethical use of data. (I) Machine learning. (J) Operations research. (K) Social impacts and professional practices of statistics and data science. (L) Statistical methods and modeling. (M) Statistical problem-solving processes. (4) Eligible consortium The term eligible consortium means a consortium that— (A) includes— (i) an eligible State educational agency; (ii) an eligible local educational agency; (iii) an eligible Tribal school; or (iv) an institution of higher education; and (B) may include a non-profit or for-profit organization. (5) Eligible entity The term eligible entity means an eligible State educational agency, eligible local educational agency, eligible Tribal school, institution of higher education, or eligible consortium. (6) Eligible local educational agency The term eligible local educational agency means a local educational agency described in section 1003(f)(1) of the Elementary and Secondary Education Act of 1965 ( 20 U.S.C. 6303(f)(1) ). (7) Eligible State educational agency The term eligible State educational agency means a State educational agency that serves 1 or more eligible local educational agencies. (8) Eligible Tribal school The term eligible Tribal school means— (A) a school operated by the Bureau of Indian Education; (B) a school operated pursuant to the Indian Self-Determination and Education Assistance Act ( 25 U.S.C. 5301 et seq. )