SAS Public Training Programs 2009

The schedule below may be subjected to changes. Please contact nurulfarah.halim@sas.com to confirm on the schedule before you register.

Course Title	Fees* (RM)	Day/s	Pre-Requisites	Mac	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
PROGRAMMING COURSES
1. SAS Programming I : Essentials	1,900	2	None	3-4	-	5-6	-	6-7	-	7-8	-	5-6	-
2. SAS Programming II : Manipulating Data with the DATA Steps	2,200	3	Programming I	16-18	-	13-15	-	15-17	-	16-18	-	16-18	-
3. SAS Programming III : Advanced Techniques	2,200	3	Programming I & II	-	27-29	-	24-26	-	26-28	-	28-30	-	29-31
4. SAS Programming for SAS Enterprise Guide User	2,000	2	Querying & Reporting Using SAS Enterprise Guide	-	13-14	-	15-16	-	17-18	-	14-15	-	14-15
5. SAS Report Writing I : Using Procedures and ODS	2,200	3	Programming I	23-25	-	27-29	-	29-31	-	28-30	-	23-25	-
ADVANCED TECHNICAL COURSES
1. SQL Processing with the SAS System	2,400	2	Programming I	-	2-3	-	-	-	3-4	-	-	-	-
2. SAS Macro Language I : Essentials	2,400	2	Programming I & II	-	15-16	-	22-23	-	20-21	-	12-13	-	23-24
3. SAS Macro Programming : Advanced Topics	2,000	1	SAS Macro Language	20	-	-	-	21	-	-	-	30	-
4. Optimizing SAS Programs	2,400	2	Programming I & II	-	21-22	-	-	27-28	-	-	22-23	-	-
Course Title	Fees* (RM)	Day/s	Pre-Requisites	Mac	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
DATA ANALYSIS
1. SAS Enterprise Guide : ANOVA, Regression and Logistic Regression	2,800	3	Querying & Reporting Using SAS Enterprise Guide	-	15-17	-	-	13-15	-	-	19-21	-	-
2. Statistics I : Introduction to ANOVA, Regression and Logistic Regression	2,800	3	Programming I	-	-	12-14	-	-	11-13	-	-	11-13	-
3. Statistic II : ANOVA and Regression	3,100	3	Programming I & Statistic I	25-27	-	-	22-24	-	-	14-16	-	-	9-11
4. Introduction to Programming with SAS/IML Software	3,100	3	None	-	-	18-20	-	-	18-20	-	-	18-20	-
5. Multivariate Statistical Methods: Practical Research Applications	3,100	3	Statistic II	18-20	-	-	16-18	-	-	8-10	-	-	-
DATA MINING
1. Applying Data Mining Techniques Using SAS Enterprise Miner	3,100	3	None	-	7-9	-	-	7-9	-	-	5-7	-	-
2. Applied Analytics Using SAS Enteprise Miner	3,100	3	Programming I	4-6	-	-	2-4	-	-	2-4	-	-	2-4
3. Data Preparation for Data Mining	3,100	3	None	-	-	6-8	-	-	5-7	-	-	4-6	-
Course Title	Fees* (RM)	Day/s	Pre-Requisites	Mac	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
BUSINESS INTELLIGENCE
1. Querying and Reporting Using SAS Enterprise Guide	1,900	2	None	10-11	7-8	11-12	8-9	8-9	10-11	14-15	7-8	9-10	9-10
2. Advance Query Using SAS Enterprise Guide	1,800	1	None	-	20	-	29	-	24	-	26	-	22
3. Accessing SAS Data from Microsoft Office Applications	1,600	1	None	-	6	-	-	3	-	-	2	-	-
4. Using SAS Web Report Studio for Thin-Client Reporting	1,600	1	None	27	-	26	-	24	-	24	-	20	-
5. Accssing Information using the SAS Information Delivery Portal	1,600	1	None	26	-	28	-	23	-	25	-	26	-
6. Using SAS Information Map Studio to Create Information Maps	1,600	1	None	-	30	-	4	-	7	-	15	-	4
7. Using SAS Management Console to Manage Your Environment	2,800	2	None	-	23-24	-	11-12	-	13-14	-	20-21	-	7-8
Course Title	Fees* (RM)	Day/s	Pre-Requisites	Mac	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
DATA INTEGRATION
1. Using SAS Data Integration Studio to Build Data Marts from Enterprise Data Sources	3,100	3	Programming I & SQL	-	-	20-22	25-27	-	-	-	-	11-13	-
2. Using SAS Data Integration Studio to Create Efficient ETL Processes	2,800	2	Programming I & SAS Data Integration Studio	12-13	-	-	18-19	-	-	10-11	-	-	16-17
3. Creating and Exploiting OLAP Using the SAS System	2,600	2	Programming I	-	-	25-26	-	-	-	-	-	23-24	-
4. Using the SAS Data Quality Solution to Cleanse Your Data	2,800	2	None	5-6	-	-	-	22-23	-	-	-	16-17	-

* Please note the above schedule and fees are subject to changes
** Other recommended courses included Programming, Business Intelligence, Data Integration and Data Quality Training. Please contact SAS Education department for consultation

For more information, please do not hesitate to contact Ana at 03-2273 6288 ext. 300 or nurulfarah.halim@sas.com