Professional Life Starts from Here

THREE STEPS TOWARDS A PROFESSIONAL LIFE 

    Step 1: EXAMINING where you are - JOB HUNTING seminar help you identify your weakness in technical side and personal side 

    Step 2: TRAINING (you) with what you need - SAS PROFESSIONAL CLASS will acquaint you with all knowledge and skills for a biostatistician or SAS programmer in the pharmaceutical industry.

    Step 3: IMPROVING  on what you've achieved - because getting a job is only the first step in your professional life - join Bancova professionals who have been working in the industries for many years. 

                                                                                                                                                                 
                                                                                                                                                                   

Available courses

This course is to train SAS programmers/biostatisticians with basic knowledge and skills used in the pharmaceutical industry: the sop, the sap, CRF, validation on the infrastructure level; the TLFs programming on the SAS level, and CDISC standards on the CDISC front.

SAS professional training

The goal for this course is to prepare a SAS programmer with all knowledge, skills, and tools (SAS macros and other software) that are required in SDTM mapping. Upon the completion of the course, the programmer is ready to 1) answer most questions a SDTM project might generate; 2) ready to work in a pharmaceutical company on SDTM mapping project.

experiences from professionals - stories that you might need to learn.

Teach ou how to program in R in a professional way, preparing you for the jobs in the banking, insurances, marketing research, and pharmaceutical industry.  Reuired: majors in statistics or heavily trained in statistics.  SAS is preferred, not required.

Design of Clinical Trials, Sample Size Calculations, Randomization Planning, Statistical Analysis Plan, TLF Specifications, Performing statistical Analysis using SAS and R, Study of  FDA Regulations, and FDA statistical Reviews