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SAS Korea ±³À°ÆÀ¿¡¼ ÁøÇàÇÏ´Â ¸ðµç °úÁ¤Àº °í¿ëº¸Çè ȯ±Þ´ë»óÀÌ ¾Æ´Õ´Ï´Ù. |
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ÁÖÂ÷´Â Áö¿øµÇÁö ¾ÊÀ¸´Ï ´ëÁß±³ÅëÀ» ÀÌ¿ëÇϽñ⠹ٶø´Ï´Ù. |
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SAS ¼Ò°³ |
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10 |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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SAS ÇÁ·Î±×·¡¹Ö I & II |
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5ÀÏ |
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9-13 |
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6-10 |
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5-9 |
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2-6 |
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7-11 |
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11-15 |
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1,470,000 |
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23-27 |
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SAS ÇÁ·Î±×·¡¹Ö I |
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3ÀÏ |
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9-11 |
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6-8 |
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5-7 |
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2-4 |
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7-9 |
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11-13 |
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880,000 |
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SAS ÇÁ·Î±×·¡¹Ö I  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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SAS ÇÁ·Î±×·¡¹Ö II |
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3ÀÏ |
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16-18 |
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14-16 |
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16-18 |
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880,000 |
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SAS ÇÁ·Î±×·¡¹Ö II  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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SAS SQL(±âÃÊ) |
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3ÀÏ |
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16-18 |
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19-21 |
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21-23 |
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880,000 |
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SAS Macro Language |
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3ÀÏ |
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15-17 |
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16-18 |
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18-20 |
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880,000 |
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SAS ÇÁ·Î±×·¡¹Ö III |
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3ÀÏ |
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26-28 |
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25-27 |
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920,000 |
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ODSȰ¿ë: Proc Report Ãâ·Â¹° ¸ÂÃãÈ ÀÛ¾÷ |
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4½Ã°£ |
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6 |
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13 |
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180,000 |
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ODSȰ¿ë: Proc Tabulate Ãâ·Â¹° ¸ÂÃãÈ ÀÛ¾÷ |
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4½Ã°£ |
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3 |
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4 |
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180,000 |
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Table ¹× Ãâ·Â °á°ú Excel·Î ³»º¸³»±â |
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1ÀÏ |
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29 |
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1 |
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280,000 |
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SME¸¦ À§ÇÑ Fast Track |
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5ÀÏ |
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30-2/3 |
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7-11 |
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900,000 |
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| Enterprise Guide °úÁ¤ |
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EG¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Á¶È¸
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2ÀÏ |
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23-24 |
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3-4 |
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600,000 |
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EG¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Á¶È¸
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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EG¸¦ ÀÌ¿ëÇÑ µ¥ÀÌÅÍ Á¶È¸
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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EG¸¦ ÀÌ¿ëÇÑ ±âÃÊÅë°èºÐ¼® |
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3ÀÏ |
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880,000 |
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Åë°èÀÔ¹®  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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±âÃÊÅë°èºÐ¼® |
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5ÀÏ |
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9-13 |
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13-17 |
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12-16 |
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2-6 |
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14-18 |
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11-15 |
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1,470,000 |
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ºÐ»êºÐ¼®(±âº»)  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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ȸ±ÍºÐ¼®(±âº»)  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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ȸ±ÍºÐ¼®°ú ºÐ»êºÐ¼® |
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3ÀÏ |
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27-29 |
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25-27 |
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880,000 |
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Logistic RegressionÀ» ÀÌ¿ëÇÑ ¹üÁÖÇü ÀÚ·á ºÐ¼®
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3ÀÏ |
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28-30 |
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920,000 |
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½Ã°è¿ µ¥ÀÌÅÍ ºÐ¼® |
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3ÀÏ |
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18-20 |
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920,000 |
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´Ùº¯·® ºÐ¼® |
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3ÀÏ |
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23-25 |
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920,000 |
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Longitudinal µ¥ÀÌÅͺм® |
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3ÀÏ |
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920,000 |
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JMP¸¦ ÀÌ¿ëÇÑ ±âÃÊÅë°èºÐ¼® |
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2ÀÏ |
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26-27 |
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470,000 |
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| Mining °úÁ¤ |
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Data Mining ÀÔ¹® |
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5ÀÏ |
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20-24 |
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23-27 |
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18-22 |
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1,470,000 |
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2ÀÏ |
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600,000 |
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Logistic RegressionÀ» ÀÌ¿ëÇÑ ¿¹Ãø¸ðµ¨¸µ |
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2ÀÏ |
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26-27 |
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600,000 |
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Advanced Predictive Modeling |
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2ÀÏ |
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21-22 |
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600,000 |
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Neural Network Modeling |
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2ÀÏ |
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13-14 |
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600,000 |
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Two-Stage Modeling |
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1ÀÏ |
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13 |
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300,000 |
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SAS Text Miner¸¦ ÀÌ¿ëÇÑ
Text Mining |
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1ÀÏ |
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30 |
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300,000 |
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| SAS ±¹Á¦°øÀÎÀÚ°Ý Áغñ¹Ý °úÁ¤ |
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±¹Á¦°øÀÎÀÚ°ÝÁغñ¹Ý: Base Programmer |
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3ÀÏ |
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30-2/1 |
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680,000 |
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±¹Á¦°øÀÎÀÚ°ÝÁغñ¹Ý :
Base Programmer  |
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SAS e-Learning °úÁ¤À¸·Î Ç׽à ¼ö° °¡´ÉÇÕ´Ï´Ù. |
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±¹Á¦°øÀÎÀÚ°ÝÁغñ¹Ý: Advanced Programmer |
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3ÀÏ |
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20-22 |
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680,000 |
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±¹Á¦°øÀÎÀڰݽÃÇè |
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2½Ã°£ |
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19
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22
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28 |
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30 |
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180,000 |
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| Business Intelligence °úÁ¤ |
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| BI User |
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SAS Business Intelligence
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1ÀÏ |
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300,000 |
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SAS Web Report Studio
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1ÀÏ |
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300,000 |
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BI
Developer |
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SAS Business Intelligence Fast Track (SMC/SP/IMC/OLAP ¼±ÅÃ) |
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1ÀÏ |
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300,000 |
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| DI Developer |
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SAS Data Integration Studio ¼Ò°³ |
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1ÀÏ |
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300,000 |
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| Business Knowledge °úÁ¤ |
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| Analytics |
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°áÃøÁö º¸Á¤À» À§ÇÑ ¹æ¹ý·Ð |
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1ÀÏ |
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23 |
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370,000 |
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ÃÖÀûÈ(Optimization) ºÐ¼® ¹æ¹ý·Ð |
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2ÀÏ |
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720,000 |
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| Enterprise Mining |
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Data Mining °í±Þ °úÁ¤ |
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3ÀÏ |
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7-9 |
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940,000 |
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SAS CSS(Credit ScoringSystem) Àü¹®°¡ °úÁ¤ |
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3ÀÏ |
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23-25 |
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940,000 |
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| Banking STAT |
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SAS¸¦ Ȱ¿ëÇÑ ±ÝÀ¶½Ã°è¿ºÐ¼® |
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3ÀÏ |
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27-29 |
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940,000 |
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Customer Intelligence |
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¼Ò¼È ¹Ìµð¾î µ¥ÀÌÅÍ ºÐ¼® ¹× Ȱ¿ë ¹æ¹ý·Ð |
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1ÀÏ |
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16 |
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370,000 |
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µ¥ÀÌÅͺм® ±â¹ÝÀÇ
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2ÀÏ |
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21-22 |
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720,000 |
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°í°´°ü¸® Àü·«À» À§ÇÑ °í°´ÇൿºÐ¼® |
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3ÀÏ |
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30-6/1 |
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940,000 |
|
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|
| BIO STAT |
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Clinical Data Integration |
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3ÀÏ |
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940,000 |
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| CI Master |
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CI(Customer Insight) Master College |
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¹ÌÁ¤ |
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ÃßÈÄ ¾÷µ¥ÀÌÆ® ¿¹Á¤ÀÔ´Ï´Ù. |
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SAS Macro Programming (Advanced Topics) |
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2ÀÏ |
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Business Intelligence |
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SAS Solution »ç¿ëÀÚ¸¦ À§ÇÑ ±âÃÊSAS ÇÁ·Î±×·¡¹Ö |
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2ÀÏ |
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MS ¿ÀÇǽº¿¡¼ SAS µ¥ÀÌÅÍ È°¿ë |
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1ÀÏ |
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Data Integration using SAS Data IntegrationStudio |
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2ÀÏ |
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Appli cation °³¹ß |
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SAS/AF¸¦ ÀÌ¿ëÇÑ Application°³¹ß |
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3ÀÏ |
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SAS/IntrNet¸¦ ÀÌ¿ëÇÑ
WebApplication °³¹ß |
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3ÀÏ |
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webAF¸¦ ÀÌ¿ëÇÑ Web Application °³¹ß |
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3ÀÏ |
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Model Manager¸¦ ÀÌ¿ëÇÑ ºÐ¼® ¸ðµ¨ °ü¸® |
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3ÀÏ |
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| Forecast |
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Forecast Server¸¦ ÀÌ¿ëÇÑ ¿¹Ãø |
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2ÀÏ |
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