1. Gi\u1edbi thi\u1ec7u th\u00f4ng tin c\u01a1 b\u1ea3n v\u1ec1 cu\u1ed1n s\u00e1ch<\/h2>\n\n\n\n\n- T\u00ean s\u00e1ch:<\/strong> Principles of Data Science<\/em><\/li>\n\n\n\n
- Nh\u00e0 xu\u1ea5t b\u1ea3n:<\/strong> OpenStax<\/li>\n\n\n\n
- \u0110\u1ed9 d\u00e0i:<\/strong> Nhi\u1ec1u ch\u01b0\u01a1ng, bao qu\u00e1t t\u1eeb kh\u00e1i ni\u1ec7m c\u01a1 b\u1ea3n \u0111\u1ebfn ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch d\u1eef li\u1ec7u n\u00e2ng cao.<\/li>\n\n\n\n
- \u0110\u1ed1i t\u01b0\u1ee3ng:<\/strong> Sinh vi\u00ean, gi\u1ea3ng vi\u00ean, nh\u00e0 nghi\u00ean c\u1ee9u, chuy\u00ean vi\u00ean ph\u00e2n t\u00edch, v\u00e0 b\u1ea5t k\u1ef3 ai mu\u1ed1n t\u00ecm hi\u1ec3u khoa h\u1ecdc d\u1eef li\u1ec7u.<\/li>\n\n\n\n
- M\u1ee5c ti\u00eau:<\/strong> Trang b\u1ecb cho ng\u01b0\u1eddi h\u1ecdc t\u01b0 duy, ph\u01b0\u01a1ng ph\u00e1p v\u00e0 c\u00f4ng c\u1ee5 \u0111\u1ec3 hi\u1ec3u, x\u1eed l\u00fd, ph\u00e2n t\u00edch, v\u00e0 di\u1ec5n gi\u1ea3i d\u1eef li\u1ec7u.<\/li>\n<\/ul>\n\n\n\n
\u0110i\u1ec3m \u0111\u1eb7c bi\u1ec7t l\u00e0 s\u00e1ch kh\u00f4ng ch\u1ec9 ch\u00fa tr\u1ecdng v\u00e0o l\u00fd thuy\u1ebft kh\u00f4 khan, m\u00e0 lu\u00f4n g\u1eafn li\u1ec1n v\u1edbi v\u00ed d\u1ee5, b\u00e0i t\u1eadp, v\u00e0 t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf, gi\u00fap ng\u01b0\u1eddi h\u1ecdc \u00e1p d\u1ee5ng ngay v\u00e0o c\u00e1c d\u1ef1 \u00e1n ph\u00e2n t\u00edch d\u1eef li\u1ec7u.<\/p>\n\n\n
\n![\"Principles](\"https:\/\/kienthucmo.com\/wp-content\/uploads\/principles_of_data_science_cover.png\")
Principles of data science<\/figcaption><\/figure>\n<\/div>\n\n\n2. T\u00f3m t\u1eaft s\u01a1 l\u01b0\u1ee3c n\u1ed9i dung<\/h2>\n\n\n\n
Cu\u1ed1n Principles of Data Science<\/em> \u0111\u01b0\u1ee3c chia th\u00e0nh nhi\u1ec1u ph\u1ea7n ch\u00ednh, m\u1ed7i ph\u1ea7n khai th\u00e1c m\u1ed9t kh\u00eda c\u1ea1nh quan tr\u1ecdng c\u1ee7a khoa h\u1ecdc d\u1eef li\u1ec7u:<\/p>\n\n\n\n\n- Gi\u1edbi thi\u1ec7u khoa h\u1ecdc d\u1eef li\u1ec7u<\/strong>\n
\n- \u0110\u1ecbnh ngh\u0129a khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 vai tr\u00f2 c\u1ee7a n\u00f3 trong x\u00e3 h\u1ed9i hi\u1ec7n \u0111\u1ea1i.<\/li>\n\n\n\n
- M\u1ed1i quan h\u1ec7 gi\u1eefa d\u1eef li\u1ec7u, th\u00f4ng tin v\u00e0 tri th\u1ee9c.<\/li>\n\n\n\n
- To\u00e0n c\u1ea3nh quy tr\u00ecnh ph\u00e2n t\u00edch d\u1eef li\u1ec7u: t\u1eeb thu th\u1eadp \u2192 x\u1eed l\u00fd \u2192 ph\u00e2n t\u00edch \u2192 tr\u1ef1c quan h\u00f3a \u2192 ra quy\u1ebft \u0111\u1ecbnh.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- Thu th\u1eadp v\u00e0 l\u00e0m s\u1ea1ch d\u1eef li\u1ec7u<\/strong>\n
\n- C\u00e1c ngu\u1ed3n d\u1eef li\u1ec7u: d\u1eef li\u1ec7u m\u1edf, c\u01a1 s\u1edf d\u1eef li\u1ec7u, c\u1ea3m bi\u1ebfn, kh\u1ea3o s\u00e1t.<\/li>\n\n\n\n
- C\u00e1c k\u1ef9 thu\u1eadt ti\u1ec1n x\u1eed l\u00fd: lo\u1ea1i b\u1ecf d\u1eef li\u1ec7u nhi\u1ec5u, x\u1eed l\u00fd gi\u00e1 tr\u1ecb thi\u1ebfu, chu\u1ea9n h\u00f3a d\u1eef li\u1ec7u.<\/li>\n\n\n\n
- C\u00f4ng c\u1ee5 v\u00e0 ng\u00f4n ng\u1eef th\u01b0\u1eddng d\u00f9ng trong thao t\u00e1c d\u1eef li\u1ec7u (Python, R, SQL).<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- Kh\u00e1m ph\u00e1 v\u00e0 tr\u1ef1c quan h\u00f3a d\u1eef li\u1ec7u (Exploratory Data Analysis \u2013 EDA)<\/strong>\n
\n- C\u00e1c ph\u01b0\u01a1ng ph\u00e1p th\u1ed1ng k\u00ea m\u00f4 t\u1ea3 c\u01a1 b\u1ea3n: trung b\u00ecnh, trung v\u1ecb, ph\u01b0\u01a1ng sai, \u0111\u1ed9 l\u1ec7ch chu\u1ea9n.<\/li>\n\n\n\n
- C\u00e1ch t\u00ecm ki\u1ebfm m\u00f4 h\u00ecnh v\u00e0 xu h\u01b0\u1edbng t\u1eeb d\u1eef li\u1ec7u.<\/li>\n\n\n\n
- Tr\u1ef1c quan h\u00f3a b\u1eb1ng bi\u1ec3u \u0111\u1ed3, histogram, scatter plot, heatmap.<\/li>\n\n\n\n
- C\u00e1c c\u00f4ng c\u1ee5 h\u1ed7 tr\u1ee3: matplotlib, seaborn, Tableau.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- X\u00e1c su\u1ea5t v\u00e0 th\u1ed1ng k\u00ea \u1ee9ng d\u1ee5ng<\/strong>\n
\n- Ki\u1ebfn th\u1ee9c n\u1ec1n t\u1ea3ng v\u1ec1 x\u00e1c su\u1ea5t, ph\u00e2n ph\u1ed1i, gi\u1ea3 thuy\u1ebft th\u1ed1ng k\u00ea.<\/li>\n\n\n\n
- C\u00e1c ph\u01b0\u01a1ng ph\u00e1p ki\u1ec3m \u0111\u1ecbnh gi\u1ea3 thuy\u1ebft v\u00e0 suy lu\u1eadn th\u1ed1ng k\u00ea.<\/li>\n\n\n\n
- \u1ee8ng d\u1ee5ng trong vi\u1ec7c \u0111\u01b0a ra k\u1ebft lu\u1eadn t\u1eeb d\u1eef li\u1ec7u c\u00f3 t\u00ednh kh\u00f4ng ch\u1eafc ch\u1eafn.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- H\u1ecdc m\u00e1y (Machine Learning) c\u01a1 b\u1ea3n<\/strong>\n
\n- Gi\u1edbi thi\u1ec7u kh\u00e1i ni\u1ec7m machine learning v\u00e0 s\u1ef1 kh\u00e1c bi\u1ec7t v\u1edbi th\u1ed1ng k\u00ea truy\u1ec1n th\u1ed1ng.<\/li>\n\n\n\n
- C\u00e1c thu\u1eadt to\u00e1n c\u01a1 b\u1ea3n: h\u1ed3i quy tuy\u1ebfn t\u00ednh, ph\u00e2n lo\u1ea1i (classification), clustering.<\/li>\n\n\n\n
- \u0110\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh: overfitting, underfitting, cross-validation.<\/li>\n\n\n\n
- \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf: d\u1ef1 \u0111o\u00e1n xu h\u01b0\u1edbng kinh doanh, ph\u00e2n t\u00edch h\u00e0nh vi kh\u00e1ch h\u00e0ng, nh\u1eadn di\u1ec7n m\u1eabu h\u00ecnh.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- \u0110\u1ea1o \u0111\u1ee9c v\u00e0 tr\u00e1ch nhi\u1ec7m trong khoa h\u1ecdc d\u1eef li\u1ec7u<\/strong>\n
\n- B\u1ea3o m\u1eadt d\u1eef li\u1ec7u v\u00e0 quy\u1ec1n ri\u00eang t\u01b0.<\/li>\n\n\n\n
- C\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 thi\u00ean l\u1ec7ch (bias) trong d\u1eef li\u1ec7u v\u00e0 thu\u1eadt to\u00e1n.<\/li>\n\n\n\n
- Tr\u00e1ch nhi\u1ec7m x\u00e3 h\u1ed9i c\u1ee7a nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u trong vi\u1ec7c di\u1ec5n gi\u1ea3i v\u00e0 \u1ee9ng d\u1ee5ng k\u1ebft qu\u1ea3 ph\u00e2n t\u00edch.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
- B\u00e0i t\u1eadp v\u00e0 t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf<\/strong>\n
\n- Sau m\u1ed7i ch\u01b0\u01a1ng, ng\u01b0\u1eddi h\u1ecdc s\u1ebd \u0111\u01b0\u1ee3c ti\u1ebfp c\u1eadn c\u00e1c t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf nh\u01b0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u kinh t\u1ebf, y t\u1ebf, m\u00f4i tr\u01b0\u1eddng.<\/li>\n\n\n\n
- B\u00e0i t\u1eadp k\u1ebft h\u1ee3p c\u1ea3 t\u00ednh to\u00e1n v\u00e0 vi\u1ebft b\u00e1o c\u00e1o, gi\u00fap r\u00e8n luy\u1ec7n t\u01b0 duy ph\u1ea3n bi\u1ec7n v\u00e0 k\u1ef9 n\u0103ng truy\u1ec1n \u0111\u1ea1t.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
![\"what-is-data-science\"](\"https:\/\/kienthucmo.com\/wp-content\/uploads\/what-is-data-science-1024x576.jpg\")
<\/figure>\n\n\n\n3. Cu\u1ed1n s\u00e1ch n\u00e0y d\u00e0nh cho ai?<\/h2>\n\n\n\n\n- Sinh vi\u00ean ng\u00e0nh khoa h\u1ecdc d\u1eef li\u1ec7u, th\u1ed1ng k\u00ea, c\u00f4ng ngh\u1ec7 th\u00f4ng tin<\/strong>: c\u1ea7n t\u00e0i li\u1ec7u n\u1ec1n t\u1ea3ng d\u1ec5 hi\u1ec3u v\u00e0 c\u00f3 t\u00ednh h\u1ec7 th\u1ed1ng.<\/li>\n\n\n\n
- Nh\u00e0 nghi\u00ean c\u1ee9u<\/strong>: mu\u1ed1n n\u1eafm \u0111\u01b0\u1ee3c quy tr\u00ecnh v\u00e0 c\u00f4ng c\u1ee5 \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u khoa h\u1ecdc.<\/li>\n\n\n\n
- Nh\u00e2n vi\u00ean ph\u00e2n t\u00edch (data analyst) v\u00e0 h\u1ecdc vi\u00ean tr\u00e1i ng\u00e0nh<\/strong>: mu\u1ed1n b\u1eaft \u0111\u1ea7u v\u1edbi khoa h\u1ecdc d\u1eef li\u1ec7u nh\u01b0ng ch\u01b0a c\u00f3 nhi\u1ec1u ki\u1ebfn th\u1ee9c n\u1ec1n.<\/li>\n\n\n\n
- Ng\u01b0\u1eddi t\u1ef1 h\u1ecdc<\/strong>: quan t\u00e2m \u0111\u1ebfn xu h\u01b0\u1edbng d\u1eef li\u1ec7u l\u1edbn (big data) v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI).<\/li>\n<\/ul>\n\n\n\n
4. V\u00ec sao b\u1ea1n n\u00ean \u0111\u1ecdc cu\u1ed1n s\u00e1ch n\u00e0y?<\/h2>\n\n\n\n\n- Cung c\u1ea5p n\u1ec1n t\u1ea3ng v\u1eefng ch\u1eafc<\/strong>
S\u00e1ch kh\u00f4ng ch\u1ec9 d\u1ea1y b\u1ea1n c\u00e1c k\u1ef9 thu\u1eadt, m\u00e0 c\u00f2n gi\u00fap b\u1ea1n hi\u1ec3u s\u00e2u b\u1ea3n ch\u1ea5t c\u1ee7a d\u1eef li\u1ec7u v\u00e0 c\u00e1ch \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh t\u1eeb d\u1eef li\u1ec7u. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc kh\u1edfi \u0111\u1ea7u l\u00fd t\u01b0\u1edfng tr\u01b0\u1edbc khi ti\u1ebfn \u0111\u1ebfn c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao v\u1ec1 machine learning hay AI.<\/li>\n\n\n\n- K\u1ebft h\u1ee3p l\u00fd thuy\u1ebft v\u00e0 th\u1ef1c h\u00e0nh<\/strong>
M\u1ed7i ch\u01b0\u01a1ng \u0111\u1ec1u c\u00f3 v\u00ed d\u1ee5 minh h\u1ecda, b\u00e0i t\u1eadp th\u1ef1c h\u00e0nh v\u00e0 t\u00ecnh hu\u1ed1ng \u1ee9ng d\u1ee5ng. \u0110i\u1ec1u n\u00e0y gi\u00fap ng\u01b0\u1eddi h\u1ecdc kh\u00f4ng ch\u1ec9 hi\u1ec3u kh\u00e1i ni\u1ec7m m\u00e0 c\u00f2n bi\u1ebft c\u00e1ch v\u1eadn d\u1ee5ng.<\/li>\n\n\n\n- Mi\u1ec5n ph\u00ed v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng cao<\/strong>
OpenStax n\u1ed5i ti\u1ebfng v\u1edbi c\u00e1c t\u00e0i li\u1ec7u gi\u00e1o d\u1ee5c m\u1edf, \u0111\u01b0\u1ee3c vi\u1ebft v\u00e0 th\u1ea9m \u0111\u1ecbnh b\u1edfi c\u00e1c chuy\u00ean gia h\u00e0ng \u0111\u1ea7u. B\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp mi\u1ec5n ph\u00ed, nh\u01b0ng gi\u00e1 tr\u1ecb h\u1ecdc thu\u1eadt ngang t\u1ea7m c\u00e1c gi\u00e1o tr\u00ecnh th\u01b0\u01a1ng m\u1ea1i \u0111\u1eaft ti\u1ec1n.<\/li>\n\n\n\n- T\u00ednh \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i<\/strong>
D\u00f9 b\u1ea1n l\u00e0m trong l\u0129nh v\u1ef1c kinh doanh, khoa h\u1ecdc x\u00e3 h\u1ed9i, y t\u1ebf hay c\u00f4ng ngh\u1ec7, k\u1ef9 n\u0103ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u \u0111\u1ec1u h\u1eefu \u00edch. Cu\u1ed1n s\u00e1ch n\u00e0y trang b\u1ecb cho b\u1ea1n kh\u1ea3 n\u0103ng \u0111\u1ecdc hi\u1ec3u d\u1eef li\u1ec7u \u0111\u1ec3 h\u1ed7 tr\u1ee3 ra quy\u1ebft \u0111\u1ecbnh.<\/li>\n\n\n\n- Kh\u00eda c\u1ea1nh \u0111\u1ea1o \u0111\u1ee9c \u0111\u01b0\u1ee3c nh\u1ea5n m\u1ea1nh<\/strong>
Trong b\u1ed1i c\u1ea3nh d\u1eef li\u1ec7u c\u00e1 nh\u00e2n ng\u00e0y c\u00e0ng nh\u1ea1y c\u1ea3m, vi\u1ec7c s\u1eed d\u1ee5ng d\u1eef li\u1ec7u c\u00f3 tr\u00e1ch nhi\u1ec7m l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t. Cu\u1ed1n s\u00e1ch n\u00e0y kh\u00f4ng b\u1ecf qua kh\u00eda c\u1ea1nh \u0111\u1ea1o \u0111\u1ee9c, gi\u00fap ng\u01b0\u1eddi h\u1ecdc ph\u00e1t tri\u1ec3n t\u01b0 duy ph\u00ea ph\u00e1n v\u00e0 c\u00f3 tr\u00e1ch nhi\u1ec7m x\u00e3 h\u1ed9i.<\/li>\n<\/ol>\n\n\n\n5. T\u1ea3i xu\u1ed1ng, tr\u1ea3i nghi\u1ec7m<\/h2>\n\n\n\n
C\u00e1c b\u1ea1n c\u00f3 th\u1ec3 t\u1ea3i xu\u1ed1ng, ho\u1eb7c \u0111\u1ecdc tr\u1ef1c tuy\u1ebfn t\u1ea1i c\u00e1c n\u1ec1n t\u1ea3ng SlideShare, Scribd\u2026t\u00f9y theo th\u00f3i quen v\u00e0 s\u1ef1 ti\u1ec7n l\u1ee3i c\u1ee7a m\u00ecnh:<\/p>\n\n\n\n
\n- Scribd<\/strong>: https:\/\/www.scribd.com\/document\/905920290\/Principles-of-Data-Science<\/a><\/li>\n\n\n\n
- Slideshare<\/strong>: https:\/\/www.slideshare.net\/slideshow\/principles-of-data-science-by-openstax\/282655983<\/a><\/li>\n<\/ul>\n\n\n\n
L\u01b0u \u00fd<\/strong><\/p>\n\n\n\nCu\u1ed1n Introduction to Python Programming<\/em> \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh theo gi\u1ea5y ph\u00e9p Creative Commons Attribution (CC BY 4.0)<\/strong>. C\u00e1c b\u1ea1n c\u00f3 th\u1ec3 chia s\u1ebb, ph\u00e2n ph\u1ed1i l\u1ea1i ho\u1eb7c tr\u00edch d\u1eabn n\u1ed9i dung cu\u1ed1n s\u00e1ch, nh\u01b0ng c\u1ea7n ghi c\u00f4ng t\u00e1c gi\u1ea3<\/strong> \u0111\u1ea7y \u0111\u1ee7.<\/p>\n\n\n\n6. T\u00e0i li\u1ec7u tham kh\u1ea3o<\/h2>\n\n\n\n
[1] S. V. Ault, S. N. Liao, v\u00e0 L. Musolino, Principles of Data Science<\/em>. Houston, Texas: OpenStax, Jan. 24, 2025. [Online]. Available: https:\/\/openstax.org\/books\/principles-data-science\/pages\/1-introduction<\/a>
[2] OpenDev,\u00a0Foundations of Information Systems<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/foundations-of-information-systems\/<\/a>
[3] OpenDev,\u00a0Introduction to\u00a0\u00a0Computer<\/a>\u00a0Science<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/introduction-to-computer-science\/<\/a>
[4] OpenDev,\u00a0Principles of Data Science<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/principles-of-data-science\/<\/a>
[5] OpenDev,\u00a0Workplace Software and Skills<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/workplace-software-and-skills\/<\/a><\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
N\u00f3 l\u00e0 s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa k\u1ef9 thu\u1eadt t\u00ednh to\u00e1n, t\u01b0 duy ph\u00e2n t\u00edch, v\u00e0 kh\u1ea3 n\u0103ng k\u1ec3 chuy\u1ec7n b\u1eb1ng d\u1eef li\u1ec7u. \u0110\u00f3 c\u0169ng ch\u00ednh l\u00e0 tr\u1ecdng t\u00e2m c\u1ee7a cu\u1ed1n Principles of Data Science do OpenStax bi\u00ean so\u1ea1n \u2013 m\u1ed9t t\u00e0i li\u1ec7u h\u1ecdc thu\u1eadt ch\u1ea5t l\u01b0\u1ee3ng cao, ho\u00e0n to\u00e0n mi\u1ec5n ph\u00ed, gi\u00fap ng\u01b0\u1eddi h\u1ecdc x\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng khoa h\u1ecdc d\u1eef li\u1ec7u t\u1eeb con s\u1ed1 0 \u0111\u1ebfn m\u1ee9c \u0111\u1ee7 \u0111\u1ec3 b\u01b0\u1edbc v\u00e0o c\u00e1c \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n","protected":false},"author":1,"featured_media":844,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowieHDDA:productID":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-837","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tai-lieu"],"_links":{"self":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/comments?post=837"}],"version-history":[{"count":7,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837\/revisions"}],"predecessor-version":[{"id":2396,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837\/revisions\/2396"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/media\/844"}],"wp:attachment":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/media?parent=837"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/categories?post=837"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/tags?post=837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\u0110i\u1ec3m \u0111\u1eb7c bi\u1ec7t l\u00e0 s\u00e1ch kh\u00f4ng ch\u1ec9 ch\u00fa tr\u1ecdng v\u00e0o l\u00fd thuy\u1ebft kh\u00f4 khan, m\u00e0 lu\u00f4n g\u1eafn li\u1ec1n v\u1edbi v\u00ed d\u1ee5, b\u00e0i t\u1eadp, v\u00e0 t\u00ecnh hu\u1ed1ng th\u1ef1c t\u1ebf, gi\u00fap ng\u01b0\u1eddi h\u1ecdc \u00e1p d\u1ee5ng ngay v\u00e0o c\u00e1c d\u1ef1 \u00e1n ph\u00e2n t\u00edch d\u1eef li\u1ec7u.<\/p>\n\n\n
2. T\u00f3m t\u1eaft s\u01a1 l\u01b0\u1ee3c n\u1ed9i dung<\/h2>\n\n\n\n
Cu\u1ed1n Principles of Data Science<\/em> \u0111\u01b0\u1ee3c chia th\u00e0nh nhi\u1ec1u ph\u1ea7n ch\u00ednh, m\u1ed7i ph\u1ea7n khai th\u00e1c m\u1ed9t kh\u00eda c\u1ea1nh quan tr\u1ecdng c\u1ee7a khoa h\u1ecdc d\u1eef li\u1ec7u:<\/p>\n\n\n\n C\u00e1c b\u1ea1n c\u00f3 th\u1ec3 t\u1ea3i xu\u1ed1ng, ho\u1eb7c \u0111\u1ecdc tr\u1ef1c tuy\u1ebfn t\u1ea1i c\u00e1c n\u1ec1n t\u1ea3ng SlideShare, Scribd\u2026t\u00f9y theo th\u00f3i quen v\u00e0 s\u1ef1 ti\u1ec7n l\u1ee3i c\u1ee7a m\u00ecnh:<\/p>\n\n\n\n L\u01b0u \u00fd<\/strong><\/p>\n\n\n\n Cu\u1ed1n Introduction to Python Programming<\/em> \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh theo gi\u1ea5y ph\u00e9p Creative Commons Attribution (CC BY 4.0)<\/strong>. C\u00e1c b\u1ea1n c\u00f3 th\u1ec3 chia s\u1ebb, ph\u00e2n ph\u1ed1i l\u1ea1i ho\u1eb7c tr\u00edch d\u1eabn n\u1ed9i dung cu\u1ed1n s\u00e1ch, nh\u01b0ng c\u1ea7n ghi c\u00f4ng t\u00e1c gi\u1ea3<\/strong> \u0111\u1ea7y \u0111\u1ee7.<\/p>\n\n\n\n [1] S. V. Ault, S. N. Liao, v\u00e0 L. Musolino, Principles of Data Science<\/em>. Houston, Texas: OpenStax, Jan. 24, 2025. [Online]. Available: https:\/\/openstax.org\/books\/principles-data-science\/pages\/1-introduction<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":" N\u00f3 l\u00e0 s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa k\u1ef9 thu\u1eadt t\u00ednh to\u00e1n, t\u01b0 duy ph\u00e2n t\u00edch, v\u00e0 kh\u1ea3 n\u0103ng k\u1ec3 chuy\u1ec7n b\u1eb1ng d\u1eef li\u1ec7u. \u0110\u00f3 c\u0169ng ch\u00ednh l\u00e0 tr\u1ecdng t\u00e2m c\u1ee7a cu\u1ed1n Principles of Data Science do OpenStax bi\u00ean so\u1ea1n \u2013 m\u1ed9t t\u00e0i li\u1ec7u h\u1ecdc thu\u1eadt ch\u1ea5t l\u01b0\u1ee3ng cao, ho\u00e0n to\u00e0n mi\u1ec5n ph\u00ed, gi\u00fap ng\u01b0\u1eddi h\u1ecdc x\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng khoa h\u1ecdc d\u1eef li\u1ec7u t\u1eeb con s\u1ed1 0 \u0111\u1ebfn m\u1ee9c \u0111\u1ee7 \u0111\u1ec3 b\u01b0\u1edbc v\u00e0o c\u00e1c \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n","protected":false},"author":1,"featured_media":844,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowieHDDA:productID":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-837","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tai-lieu"],"_links":{"self":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/comments?post=837"}],"version-history":[{"count":7,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837\/revisions"}],"predecessor-version":[{"id":2396,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/posts\/837\/revisions\/2396"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/media\/844"}],"wp:attachment":[{"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/media?parent=837"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/categories?post=837"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kienthucmo.com\/vi\/wp-json\/wp\/v2\/tags?post=837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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<\/figure>\n\n\n\n3. Cu\u1ed1n s\u00e1ch n\u00e0y d\u00e0nh cho ai?<\/h2>\n\n\n\n
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4. V\u00ec sao b\u1ea1n n\u00ean \u0111\u1ecdc cu\u1ed1n s\u00e1ch n\u00e0y?<\/h2>\n\n\n\n
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S\u00e1ch kh\u00f4ng ch\u1ec9 d\u1ea1y b\u1ea1n c\u00e1c k\u1ef9 thu\u1eadt, m\u00e0 c\u00f2n gi\u00fap b\u1ea1n hi\u1ec3u s\u00e2u b\u1ea3n ch\u1ea5t c\u1ee7a d\u1eef li\u1ec7u v\u00e0 c\u00e1ch \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh t\u1eeb d\u1eef li\u1ec7u. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc kh\u1edfi \u0111\u1ea7u l\u00fd t\u01b0\u1edfng tr\u01b0\u1edbc khi ti\u1ebfn \u0111\u1ebfn c\u00e1c kh\u00f3a h\u1ecdc n\u00e2ng cao v\u1ec1 machine learning hay AI.<\/li>\n\n\n\n
M\u1ed7i ch\u01b0\u01a1ng \u0111\u1ec1u c\u00f3 v\u00ed d\u1ee5 minh h\u1ecda, b\u00e0i t\u1eadp th\u1ef1c h\u00e0nh v\u00e0 t\u00ecnh hu\u1ed1ng \u1ee9ng d\u1ee5ng. \u0110i\u1ec1u n\u00e0y gi\u00fap ng\u01b0\u1eddi h\u1ecdc kh\u00f4ng ch\u1ec9 hi\u1ec3u kh\u00e1i ni\u1ec7m m\u00e0 c\u00f2n bi\u1ebft c\u00e1ch v\u1eadn d\u1ee5ng.<\/li>\n\n\n\n
OpenStax n\u1ed5i ti\u1ebfng v\u1edbi c\u00e1c t\u00e0i li\u1ec7u gi\u00e1o d\u1ee5c m\u1edf, \u0111\u01b0\u1ee3c vi\u1ebft v\u00e0 th\u1ea9m \u0111\u1ecbnh b\u1edfi c\u00e1c chuy\u00ean gia h\u00e0ng \u0111\u1ea7u. B\u1ea1n c\u00f3 th\u1ec3 truy c\u1eadp mi\u1ec5n ph\u00ed, nh\u01b0ng gi\u00e1 tr\u1ecb h\u1ecdc thu\u1eadt ngang t\u1ea7m c\u00e1c gi\u00e1o tr\u00ecnh th\u01b0\u01a1ng m\u1ea1i \u0111\u1eaft ti\u1ec1n.<\/li>\n\n\n\n
D\u00f9 b\u1ea1n l\u00e0m trong l\u0129nh v\u1ef1c kinh doanh, khoa h\u1ecdc x\u00e3 h\u1ed9i, y t\u1ebf hay c\u00f4ng ngh\u1ec7, k\u1ef9 n\u0103ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u \u0111\u1ec1u h\u1eefu \u00edch. Cu\u1ed1n s\u00e1ch n\u00e0y trang b\u1ecb cho b\u1ea1n kh\u1ea3 n\u0103ng \u0111\u1ecdc hi\u1ec3u d\u1eef li\u1ec7u \u0111\u1ec3 h\u1ed7 tr\u1ee3 ra quy\u1ebft \u0111\u1ecbnh.<\/li>\n\n\n\n
Trong b\u1ed1i c\u1ea3nh d\u1eef li\u1ec7u c\u00e1 nh\u00e2n ng\u00e0y c\u00e0ng nh\u1ea1y c\u1ea3m, vi\u1ec7c s\u1eed d\u1ee5ng d\u1eef li\u1ec7u c\u00f3 tr\u00e1ch nhi\u1ec7m l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t. Cu\u1ed1n s\u00e1ch n\u00e0y kh\u00f4ng b\u1ecf qua kh\u00eda c\u1ea1nh \u0111\u1ea1o \u0111\u1ee9c, gi\u00fap ng\u01b0\u1eddi h\u1ecdc ph\u00e1t tri\u1ec3n t\u01b0 duy ph\u00ea ph\u00e1n v\u00e0 c\u00f3 tr\u00e1ch nhi\u1ec7m x\u00e3 h\u1ed9i.<\/li>\n<\/ol>\n\n\n\n5. T\u1ea3i xu\u1ed1ng, tr\u1ea3i nghi\u1ec7m<\/h2>\n\n\n\n
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6. T\u00e0i li\u1ec7u tham kh\u1ea3o<\/h2>\n\n\n\n
[2] OpenDev,\u00a0Foundations of Information Systems<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/foundations-of-information-systems\/<\/a>
[3] OpenDev,\u00a0Introduction to\u00a0\u00a0Computer<\/a>\u00a0Science<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/introduction-to-computer-science\/<\/a>
[4] OpenDev,\u00a0Principles of Data Science<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/principles-of-data-science\/<\/a>
[5] OpenDev,\u00a0Workplace Software and Skills<\/em>. Available:\u00a0https:\/\/kienthucmo.com\/en\/workplace-software-and-skills\/<\/a><\/p>\n\n\n\n