Certificate in Data Science with Python - Feva Works IT Education Centre

Certificate in Data Science with Python IP15PYTHON
½Òµ{¤¶²Ð



Python ¬O¤@­Ó±j¤j¡B§Ö³t¡B²³æ©öŪªºµ{¦¡»y¨¥

¦Û1990 ¦~¥Nªì¥Ñ Guido van Rossum (¤S±`³QºÙ¬°GvR ©ÎBDFL) ³Ð³y¦Ü¤µ¤w¾ú¤Q¼Æ¦~µo®i¡AÀ³¥Î©ó¨t²ÎºÞ²z¡Bºô¸ôºÞ²z¡Bºô¸ô¶Ç¿éµ{¦¡¡Bºô­¶µ{¦¡¶}µo¡B¼Æ­È¤ÀªRµ{¦¡¡B¹Ï§Î¤¶­±À³¥Îµ{¦¡µ¥¤è­±¡A§¡¦³Àu¨qªºªí²{¡C

30¦h¦~¹L¥h¡A¦p¤µ¡APython ¤w¸g¦¨¬°³Ì¨üÅwªïªºµ{¦¡³]­p»y¨¥¤§¤@¡A¦b Web ¶}µo¡B¬ì¾Ç­pºâ©M²Î­p¡B³nÅéµo®i¡B«áºÝ¶}µo¡A¥H¤Îªñ¦~¨Ó³Æ¨üÃöª`ªº¤H¤u´¼¼zµ¥»â°ì¦³µÛ¼sªxªºÀ³¥Î¡C Python ¤w¸g¦¨¬°¦U¦æ·~ªº¥²­×½Ò¡C

¶V¨Ó¶V¦hªº¤H·R¤W¤F³oªù²¼äÀu¶®ªº»y¨¥¡A¶}©l¾Ç²ß Python¡A¨Ï¥Î Python¡C

FevaWorks ¥þ·s¶}¿ì Certificate in Data Science with Python ±M·~½Òµ{¡A ¾É®v·|¥H²`¤J²L¥Xªº¤èªk¡A³z¹L¹ê»Úªº¨Ò¤l¡A±Ð±Â Python ¦b¤é±`¤u§@¤¤ªºÀ³¥Î¥]¬A¡G½s¼g¡A¼Æ¾Ú³B²zµ¥µ¥¡A¾÷¾¹¾Ç²ßºtºâªkªº­ì²z©M¹ê»ÚÀ³¥Î¡A¾÷¾¹¾Ç²ßºtºâªkªºÀuÂI©M¯ÊÂI¡A¤j¶qÃö©óª÷¿ÄÃD¥Øªº¹ê»Ú®×¨Ò¥]¬A¡GPair trading / Futures trading) µ¥µ¥¡A¶i¦Ó§ä¥XÁôÂæb¸ê®Æ¤¤ªº­«­n°T®§¡A¥ç·|±Ð±Â¨ä¥L¬ÛÃöªº¤Jªù§Þ³N¡A¤£À´µ{¦¡¤]¯à»´ÃP¾Ç²ß¡A½Òµ{¥H¤@¤H¤@¾÷¹ê¾Ô½m²ß¡C

 

¾É®v¤¶²Ð¡G

K.S. Lee 
 
K.S. Lee ¬°¸ê²`ªº IT §Þ³N¶}µo±q·~­û¤Î²{¥ô¤j¼Æ¾Ú¤ÀªR±M®a¡A²¦·~©ó­»´ä¤j¾Ç¤Î²z¤u¤j¾Ç¡A¾Ö¦³­pºâ¾÷¬ì¾Ç¨t¾Ç¤h¤ÎºÓ¤h¡A¤Î¶W¹L¤G¤Q¦h¦~¶}µo¸gÅç¤Î¤@ª½­P¤O©ó¤j¼Æ¾Ú¤ÀªR¡A«D±`¼ô±x¤Î¾Õªø©ó¶}·½¥­¥x R ©M Python ¶i¦æ¤j¼Æ¾Ú«õ±¸ (Data mining) ©M¤ÀªR¡C
 
K.S. Lee ¿n·¥°Ñ»P¤£¦Pªº¤j¼Æ¾Ú¤ÀªR¡A§ó¾á¥ô¦h¶¡¤j±M°|®Õ¤§Á¿®v¡A¾Ö¦³¶W¹L¤Q¦~±Ð¾Ç¸gÅç¡A©Ò±Ðªù¥Í¬Æ¦h¡A±Ð±Â½d³òÂл\¤£¦P½dÃ¥¥]¬A¡GMachine Learning¡AData Science¡AData Mining ¤Îª÷¿Ä¬ì§Þµ¥¡A°£¤F±Ð±Â¤£¦Pªº²z½×¡A§ó±N·~¬É¤§¤u§@¸gÅç»P¾Ç¥Í¤À¨É¡C

 

Dennis Tam

Dennis Tam ¬°¸ê²`ªº¼Æ¾Ú¬ì¾Ç®a¤Î¤H¤u´¼¯à¡]A.I.)±M®a¡A²¦·~©ó­»´ä¬ì§Þ¤j¾Ç¡A¾Ö¦³«H®§¨t?¤ÎÀç¹BºÞ²z¾Ç¤h¡A¤Î¶W¹L¤Q¦h¦~¶q¤Æ¤ÀªR¸gÅç¤Î¤@ª½­P¤O©ó¤j¼Æ¾Ú¤ÀªR¡A«D±`¼ô±x¤Î¾Õªø©ó¶}·½¥­¥x R ©M Python ¶i¦æ¤j¼Æ¾Ú«õ±¸ (Data mining) ©M¤ÀªR¡C
 
Dennis Tam ¿n·¥°Ñ»P¤£¦Pªº¤j¼Æ¾Ú¤ÀªR¡A§ó¾á¥ô¤j±M°|®Õ¤§Á¿®v¡A¾Ö¦³¶W¹L¤­¦~±Ð¾Ç¸gÅç¡A©Ò±Ðªù¥Í¬Æ¦h¡A±Ð±Â½d³òÂл\¤£¦P½dÃ¥¥]¬A¡G Machine Learning¡ADeep Learning¡AData Science ¡A¶q¤Æª÷¿Ä¤ÀªRµ¥¡A°£¤F±Ð±Â¤£¦Pªº²z½×¡A§ó±N·~¬É¤§¤u§@¸gÅç»P¾Ç¥Í¤À¨É¡C



Danny Tse

Danny Tse ¬°¸ê²`ªº¤j¼Æ¾Ú¤ÀªR®v¡A²{¥ô¹q«H¤½¥q¶³ºÝ¤j¼Æ¾Ú¤ÀªR¥­¥xªº¨t²Î¬[ºc®v¡A²¦·~©ó¥[¦{¦{¥ß¤j¾Ç´I°Ç¹y¤À®Õ¡A¾Ö¦³³n¥ó¤uµ{ºÓ¤h¾Ç¦ì¡A¨Ã¾Ö¦³¦h¦~ªº¼Æ¾Ú¤ÀªR¸gÅç¡A¤@ª½±Mª`©ó¤j¼Æ¾Ú¤ÀªR¡C«D±`¼ô±x¨Ã¾Õªø©ó¨Ï¥Î Python ©M R ³o¨Ç¶}·½¥­¥x¶i¦æ¤j¼Æ¾Ú«õ±¸ (Data mining) ©M¤ÀªR¡C

Danny Tse ¿n·¥°Ñ»P¦UºØ¤j¼Æ¾Ú¤ÀªR¶µ¥Ø¡A§ó¾á¥ôùڥͤj¾ÇÁ¿®v¡A±Ð±Â¹L¦h¦W¾Ç¥Í¡A¾Ö¦³Â×´Iªº±Ð¾Ç¸gÅç¡C¥Lªº±Ð¾Ç½d³ò²[»\¤£¦P»â°ì¡A¥]¬A¤j¼Æ¾Ú¤ÀªR¡B¾÷¾¹¾Ç²ß¡B¤H¤u´¼¯à¡B¼Æ¾Ú¥iµø¤Æ¤Î¼Æ½X°Ó·~ºÞ²zµ¥¡C°£¤F±Ð±Â¤£¦Pªº²z½×ª¾ÃÑ¡A§ó±N·~¬É¤§¤u§@¸gÅç»P¾Ç¥Í¤À¨É¡C

 

 

­Y·Q§ó¤F¸Ñ¥H¤W¸ê°T¡AÅwªï­P¹q 3106 8211 ¬d¸ß¡C
½Òµ{¤º®e
Certificate in Data Science with Python (30hrs)
1. Data Management with Python - Part One
¡@
Python basic: data structures, list and dictionary, for loop/if statement, define function
2. Data Management with Python - Part Two
¡@
Pandas: series / dataframe
3. Data Management with Python - Part Three (Data Visualization Techniques)
¡@
Practical use of pandas features: data aggregation / joining / datetime management etc Different types of charts
Different types of charts
4. Web scraping with Python
¡@
Use of beautifulSoup and selenium
5. Overview of the use of machine learning
¡@
Supervised learning / unsupervised learning
Model Evaluation
Data mining workflow
6. Tree based Machine Learning Algorithms
¡@
Decision tree algorithm / random forest
7. Artificial neural network (ANN) & Deep learning
¡@
ANN and DNN with tensorflow
8. Clustering Algorithms
¡@
Kmeans and other algorithms
9. Regression
¡@
Linear and polynomial regression techniques
10. Text analytics with Python
¡@
Text mining techniques

¡@

Note: The course outline is subject to change based on the needs and requirements of the students and the latest updates in the market.

 

½Òµ{®É¼Æ¤Î¶O¥Î

¦X¦@: 30¤p®É

½Òµ{¶O¥Î: $7500

½Òµ{¶O¥ÎµL¶·¥Ó½Ð¥ô¦ó¬F©²°òª÷¸ê§U¡C

ú¶O¤èªk¤Î°h´Ú¦w±Æ

¤@¯ë½Òµ{¡G«ö¤ëµ¥ÃB¦¬¨ú¦C©úªº½Òµ{¶O¥Î¡C¥»¤¤¤ß±N¤£¦­©ó½Òµ{¶}©lªº¤@­Ó¤ë«e¦¬¨ú²Ä¤@´Á¶O¥Î¡C°£²Ä¤@´Áªº¶O¥Î¥~¡A¨C´Áªº¶O¥Î·|¦b½Òµ{¶i¦æ´Á¶¡¨C¤ëªº­º­Ó¤W¾Ç¤é©Î¤§«á¦¬¨ú¡C

²Õ¦X½Òµ{¡G­Y¸Ó½Òµ{¬°²Õ¦X½Òµ{¡A¥»¤¤¤ß±N«ö¸Ó²Õ¦X½Òµ{¤À¬ì¦¬¶O¡Aª½¦Ü©Ò¦¬¾Ç¶O¬°¸Ó²Õ¦X½Òµ{ªºµ¥ÃB¶O¥Î¬°¤î¡C

½Ð«ö¦¹¬d¾\¥I´Ú¤èªk

°h´Ú¦w±Æ: ¥»¤¤¤ß³Æ¦³§¹µ½¤§°h´Ú¬Fµ¦¤Îµ{§Ç¡C¾Ç¥Í±N·|©ó³øŪ½Òµ{«eÀòµo¦³Ãö¤§¤å¥ó¡A¾Ç­û¥ç¥i«ö¦¹¾\Ū¡C

½è¯À«OÃҤΨô¶V¦¨´N

¥»¤¤¤ß³Æ¦³§¹µ½¤§§K¶O¸É°ó¡A§K¶O­«Åª¤Î¼u©Ê¤W½Ò¦w±Æ (¥Á¯è³B»{¥i½Òµ{/Äá¼v½Òµ{°£¥~)¡A¥O¾Ç­û§ó¦³«O»Ù¡C

¥»¤¤¤ßºaÀò¦U¤j°ê»Ú¾÷ºc (Adobe, Autodesk, Microsoft, H3C, Lenovo, Corel, Prometric, VUE, Certiport, Wacom µ¥µ¥) ÁܽЦ¨¬°­»´ä°Ï«ü©wªº»{¥i±Ð¨|¤¤¤ß¤Î³sÄò15+ ¦~ºaÀò­»´äªÀ·|ªA°ÈÁp·|¹Å³\¬°¡u°Ó¬É®iÃöÃh¡v¤½¥q¡A¥Hªí´­ Feva Works ¹ïªÀ·|ªº°^Äm¡C

°£¦¹¤§¥~¡AFeva Works §ó³sÄò 10 ¦~Àò Microsoft ¹{µo¥þ´ä³Ì¨Î Microsoft ±ÂÅv°ö°V¤¤¤ß (Best Microsoft Certified Partner for Learning Solutions of the Year) ¤Î³Q Adobe ¿ï©w¬° Adobe CS4 & CS5 & CS6 & Creative Cloud «ü©w»{¥i°ö°V¤¤¤ß¡C³Ìªñ¡AFeva Works §ó³sÄò 10 ¦~Àòe-zone ¹q¸£Âø»x¹{µo³Ì¨ÎIT°ö°V¤¤¤ß¡C

¤W½Ò¼Ò¦¡
³¡¥÷½Òµ{´£¨Ñ²V¦X¼Ò¦¡¤W½Ò¡A¾Ç¥Í¥i¦]À³±¡ªp¿ï¾Ü¥Hºô¤W¤è¦¡©Î­±±Â¤è¦¡¤W½Ò¡C·Q¶i¤@¨B¬d¸ß¸Ô±¡¡A¥i­P¹q¼ö½u 3106 8211¡C
¦Û­q½Òµ{
¥»¤¤¤ßÅwªï¦U¤½¥q¡B¾÷ºc©Î¹ÎÅé¥]¹Î³øŪ½Òµ{¡A¦w±Æ¤½¥q¬¡°Ê©Î¦P¨Æ°ö°V¡C·Q¶i¤@¨B¬d¸ß¸Ô±¡¡A¥i­P¹q¼ö½u 3748 9826¡C
½Òµ{®É¶¡ªí
¡@
IP15PYTHON2411001B¡@
¤é´Á 2024/11/28 - 2025/02/20
®É¶¡ 19:00-22:00 (THU)
¦X¦@ 30¤p®É
¦aÂI ¥_¨¤¤À®Õ / ºô¤W Online Live (Microsoft Teams)**
¶O¥Î $ 7500


¡@
IP15PYTHON24120012¡@
¤é´Á 2024/12/13 - 2025/02/28
®É¶¡ 19:00-22:00 (FRI)
¦X¦@ 30¤p®É
¦aÂI ªø¨FÆW¤À®Õ / ºô¤W Online Live (Microsoft Teams)**
¶O¥Î $ 7500


¡@
IP15PYTHON25010016¡@
¤é´Á 2025/01/09 - 2025/03/20
®É¶¡ 19:00-22:00 (THU)
¦X¦@ 30¤p®É
¦aÂI ªø¨FÆW¤À®Õ / ºô¤W Online Live (Microsoft Teams)**
¶O¥Î $ 7500