SAS CLINICAL RESEARCH ORGANIZATION ORIENTED TRAINING IN IN INDIA

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SAS Clinical research organization oriented training in elegant it services in marathahalli. 1. History of SAS 2. SAS comes in ERP sector or not? Why? 3. Role of Statistical Analysis in Clinical Research Study and Banking analysis 4. SAS role in Clinical Research Study and Banking analysis 5. Data modeling and Data mining concepts 6. Project management in Clinical Research Study analysis and Banking analysis 7. What is Clinical research Study? 8. What is Protocol and role of Protocol in Clinical Research Study? 9. What is randomization and non randomization? Which is playing 10. Main role in Clinical research study? 11.What is SOP (Standard operating Procedure)? 11. What is DBMS? 12. Role of DBMS team in Clinical Research Study 13. What is CDM (Clinical data management)? 14. Importance of CDM systems for data loading 15. What is SAP (Statistical Analysis Plan)? 16. Role of SAP in Clinical Research Study 17. SAS Work Flow in Clinical Research Study 18. Relation between SAS and DBMS 19. Interaction between SAS with CDMs for data access 20. Various report generation in Clinical Research Study 21. Role of SAS in Credit Analysis and Different Banking Channels 22. When will go any Industry for Data modeling and Data mining 23. Role of SAS in Data modeling and Data mining GETTING STARTED WITH SAS SYSTEMS: 1. Basic operating system commands, operating system file structures 2. Managing windows in SAS window environment 3. How to run SAS application in different modes and in different environment like Windows, Unix and Mainframes. 4. Use of different kind of SAS products and how to use in SAS application. 5. Difference between the SAS products. 6. Why using the SAS in different sectors 7. How to use the Data Step to read and manipulate complex forms of data 8. Write Data and Proc Steps 9. Data step compile and execution 10. To run SAS application on different modes 11. Reading internal raw data into SAS 12. Read any type of external raw data into SAS 13. Reading raw data SAS environment into DATASET using Input statement & advance INFILE Statement options 14. Working with Data Storage in SAS libraries creation for user defined libraries and multi-engine architecture 15. Using a single libref to reference some or all SAS libraries reading and printing mixed records formats 16. Reading packed and zoned decimal data Working with EBCDIC and ASCII data 17. Reading data from dataset to another dataset 18. To manage the SAS window environment use with Global options 19. Reducing memory requirements with BUFFNO and BUFSIZE working with SAS dataset options 20. To manage existing data with controlling statements and expressions 21. Creating summary information, SAS functions, transforming data 22. Changing variable types using the PUT and INPUT functions Summarizing Data Files 23. Generation Data Sets to create historical information SAS 24. To export data from datasets to delimiter files using with dataset block 25. Understand error messages in the SAS log and debug your program 26. Use with error handling concepts Thanks&Regards Elegant IT Services, #nd Floor, Aswath Nagar,Varthur main road, Opp Safal Fresh,Near Railway Fly Over Maratha halli,Bangalore

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