数据科学导论|Data Science: A New Way of Thinking

æœ¬è¯¾ç¨‹ä½œä¸ºæ•°æ®ç§‘å­¦çš„å ˆå¯¼è¯¾å’Œè®¤çŸ¥ç±»è¯¾ç¨‹ï¼Œè‡´åŠ›äºŽä»¥å½¢è±¡ç”ŸåŠ¨çš„æ•™å­¦æ¨¡å¼ä¸ºå­¦ç”Ÿæ™®åŠæ•°æ®æŒ–æŽ˜ã€å¤§æ•°æ®ç›¸å ³çš„åŸºç¡€çŸ¥è¯†ã€æ ¸å¿ƒæ¦‚å¿µå’Œæ€ç»´æ¨¡å¼ï¼Œä»Žå·¥ç¨‹æŠ€æœ¯ã€æ³•å¾‹è§„èŒƒã€åº”ç”¨å®žè·µç­‰ä¸åŒè§’åº¦æç»˜æ•°æ®ç§‘å­¦çš„ç¾Žå¥½è“å›¾ã€‚è¯¥è¯¾ç¨‹é€‚åˆäºŽä¸åŒèƒŒæ™¯å¯¹æ•°æ®ç§‘å­¦è¿™ä¸ªè¿·äººçš„é¢†åŸŸæ„Ÿå ´è¶£çš„å¤§å­¦ç”Ÿã€‚çŽ°æœ‰çš„åœ¨çº¿æ•°æ®ç§‘å­¦è¯¾ç¨‹ä¸»è¦ä¾§é‡äºŽå­¦ä¹ ç‰¹å®šçš„ç®—æ³•ç­‰çº¯æŠ€æœ¯å† å®¹ã€‚ç›¸æ¯”ä¹‹ä¸‹ï¼Œæ•°æ®ç§‘å­¦æ˜¯ä¸€ä¸ªé¢å‘åº”ç”¨ã€é«˜åº¦è·¨å­¦ç§‘çš„é¢†åŸŸï¼Œéœ€è¦æ¥è‡ªå¤šä¸ªé¢†åŸŸçš„ç³»ç»ŸçŸ¥è¯†ã€‚é™¤äº†ç®—æ³•å­¦ä¹ ï¼Œå­¦ç”Ÿè¿˜éœ€è¦è®¤è¯†åˆ°çŽ°å®žä¸–ç•Œä¸­äººä»¬å¯èƒ½é¢ä¸´çš„æŒ‘æˆ˜ï¼Œä»¥åŠæ•°æ®ä¸Žäººç±»ç¤¾ä¼šçš„å ³ç³»ã€‚æœ¬è¯¾ç¨‹çš„ç›®çš„æ˜¯å ¨é¢äº†è§£å¤§æ•°æ®æ—¶ä»£çš„å ³é”®é—®é¢˜ï¼Œæé«˜æ•°æ®æ„è¯†ï¼Œå¸®åŠ©å­¦ç”Ÿä¸ºåŽç»­çš„æ•°æ®ç§‘å­¦è¯¾ç¨‹æ‰“ä¸‹åšå®žçš„åŸºç¡€ã€‚ This is an introductory course suitable for university students with diverse backgrounds interested in getting into the fascinating world of data science. Existing online data science courses mainly focus on learning specific algorithms and other purely technical contents. By contrast, data science is an application-oriented, highly interdisciplinary domain, which requires systematic knowledge from a variety of sources. In addition to algorithm learning, students also need to appreciate the challenges that people may face in the real world as well as the relationship between data and human society. The purpose of this course is to provide a comprehensive understanding of the key issues in the era of big data and promote data awareness to help students lay a solid foundation for subsequent data science courses.