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- 1. SAS TRAINING BEST BASE SAS TRAINING INSTITUTE IN CHENNAI WITH PLACEMENT Think IT Training offers course on Best BASE SAS training in Chennai with Placement. We provide the best quality of education for students to achieve goals on their career. Our SAS BASE trainers are working professionals with real time experience of 8-10 years. After getting trained at Think IT Training you will be able to apply your ideas on to develop new applications. We provide sufficient materials for courses prepared by our experts. BASE SAS SAS (Statistical Analysis System) is software developed for business intelligence, management of data and for analytics. Base SAS is integrated software developed for data access, transform and reporting. It is ready to use programs for statistics and writing of reports, data manipulation, information storage and maintenance. BASE SAS TRAINING BASE SAS training in Think IT Training teaches you the latest technologies on BASE SAS. By completing course candidates will be able to master in base SAS by creating his own apps and run. PREREQUISITES To attend this course one must know the file structure and systems commands on OS and access data files on your OS. DETAILED COURSE CONTENT BASICS BEFORE STARTING SAS: ● DATAWAREHOSING Concepts ● What is ETL ● ETL Concepts ● What is OLAP
- 2. SAS INTRODUCTION: ● What is SAS ● History of SAS ● Modules available SAS ACCESSING DATA ● Accessing data from FLAT files. ● Use INFILE statement options to control processing when reading raw data files. ● Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls. ● Accessing data from a Database ● Access an Excel workbook. ● Accessing data from existing SAS dataset CREATING DATA SETS ● Create temporary and permanent SAS data sets. ● Combining SAS Data Sets ● Understanding How Data Sets Are Read ● Export data to create standard and comma-delimited raw data files. ● Control which observations and variables in a SAS data set are processed and output. MANAGING DATA ● Investigate SAS data libraries using base SAS utility procedures. ● Sort observations in a SAS data set. ● Conditionally execute SAS statements.
- 3. ● Use assignment statements in the DATA step. ● Modify variable attributes using options and statements in the DATA step. ● Accumulate sub-totals and totals using DATA step statements. ● Use SAS functions to manipulate character data, numeric data, and SAS date values. ● Use SAS functions to convert character data to numeric and vice versa. ● Process data using DO LOOPS. ● Process data using SAS arrays. ● Validate and clean data. GENERATING REPORTS ● Generate list reports using the PRINT procedure. ● Generate summary reports and frequency tables using base SAS procedures. ● Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting. ● Generate reports using ODS statements. HANDLING ERRORS ● Identify and resolve programming logic errors. ● Recognize and correct syntax errors. ● Examine and resolve data errors. ADVANCED SAS TRAINING The skills associated with Advance SAS including ● Raw data reading ● Transferring of data in software packages
- 4. ● Manipulations of data ● Recoding data and Computing variables ● Data transformations ● Data preparation ● User-defined formats. ● Analyzing subsets of the data ● Merging and nexus files ● Conducting and understanding basic statistics ● Identification and correction of errors ● creating graphs & reports ● Working with SAS functions for time and date. PRE REQUISITES ● Working with MS office ● Should have completed certification course on BASE SAS COURSE CONTENT OVERVIEW OF BASE SAS ACCESSING DATA USING SQL ● Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure. ● Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure. ● Construct sub-queries and in-line views within an SQL procedure step.
- 5. ● Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques. ● Access Dictionary Tables using the SQL procedure. MACRO PROCESSING ● Create and use user-defined and automatic macro variables within the SAS Macro Language. ● Automate programs by defining and calling macros using the SAS Macro Language. ● Understand the use of macro functions. ● Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log. ● Create data-driven programs using SAS Macro Language. ADVANCED PROGRAMMING TECHNIQUES ● Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data. ● Reduce I/O by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations. ● Reduce programming time by developing reusable SAS programs which incorporate data step views, DATA steps that write SAS programs, and the FCMP procedure. ● Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics. ● Determine the resources used by the SORT procedure and avoid unnecessary sorts by using appropriate indexes, data set options, BY statement options, and the CLASS statement. ● Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure. ● Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.
- 6. CLINICAL SAS OBJECTIVES ● Clinical SAS is integrated software used for storing, analyzing and modifying of data ● The tools used are Base SAS, Clinical SAS, SAS graph, SAS reports and more to perform data analysis ● Used in various industries like healthcare, financial, banking, education industry etc. PRE-REQUISITES ● Basic computer knowledge ● Internet browsing ● Working with MS office DETAILED SYLLABUS BASE SAS ● SAS programming 1: Essentials ● SAS programming II: Data manipulation techniques ● Base SAS Certification Review ● SAS/SQL SAS PheedIT GENERAL INTRODUCTION ● Library Administration, Librarian Role + Demo ● Workshop for Library Administration ● Study Setup Study, Definer Role + Demo ● Workshop for Study Definer Role, start ● Workshop for Study Definer Role
- 7. DATA ENTRY ● Workshop for Data Entry ● Discrepancy Management, Disc. Manager Role + Demo ● Workshop for CDM Role ● Investigator Role, Monitor Role ● Clinical Data Manager (CDM) Role +Demo ● Statistician Role + Demo ● Dictionary Coding ● Workshop CDM CLINICAL SAS DATA INTEGRATION ● Register source data and target tables ● Create jobs and explore the functionality of the Job Editor ● Work with many of the various transformations ● Enhance table relationships using integrity constraints, key, and indexes ● Work with slowly changing dimensions ● Create custom transformation with the Transformation Generation Wizard ● Document and deploy jobs ● Administer SAS Data Integration Studio SAS/REPORT SAS/ACCESS