Description
Data Scientist Objectives :
a). After taking this course students will be able to write programs using SAS as a tool, this course will be a guide for them to take them to the next level of expertise pertaining SAS.
b). This is going to give a great Curve to beginners/professionals to use SAS as a tool for their data work.
Requirements :
1. Introduction :
a). SAS for Data Science
b). SAS Installation
2. SAS Programs
a). SAS_Variables
b). SAS_String
c). SAS_StringFunction
d).SAS_Array
e).SAS_Do_Loop
f). SAS_WhileLoop
g). SAS_Do_UntilLoop
3. Decision Making
a). SAS_IF_Statement
b). SAS_IF_THEN_ELSE_Statement
c). SAS_IF_THEN_ELSE_IF_Statement
d). SAS_IF_THEN_DELETE_Statement
4. SAS Functions
a). SAS_Mathematical_Functions
b). SAS_Date&Time_Function
c). SAS_Character_Function
d). SAS_Truncation_Function
5. SAS Input Methods
a). SAS_List_Input_Method
b). SAS_Name_Input_Method
6. SAS Macros
a). SAS_Macros_Global_Variable
b). SAS_Macros_Local_Variable
c). SAS_Macro_Program
7. SAS Data Set Operations
a). SAS_Read_Raw_Data
b). SAS_Export_Data
c). SAS_Merge_Data
d). SAS_Subsetting_Variable
e). SAS_Proc_Format
f). SAS_Proc_Sort
8. SAS-SQL (CRUD)
a). SAS_SQL_Create_Operation
b). SAS_SQL_Read_Operation
c). SAS_SQL_UPDATE_Operation
d). SAS_SQL_DELETE_Operation
9. SAS Output Delivery System
a). SAS_ODS
10. SAS Basic Statistical Procedure
a). SAS-Arithmetic Mean
b). SAS_Standard_Deviation
c). SAS_Frequency_Distribution
For more inputs on SAS Certified Data Scientist you can connect here.
Contact the L&D Specialist at Locus IT.
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