Course

Course Objective

To provide a comprehensive, industry-focused learning program designed to build strong theoretical foundation and practical expertise in biostatistics, clinical trial methodologies, and statistical programming using R and SAS. This course aims to equip learners with hands-on analytical skills, real-world application experience, and professional readiness for careers in the pharmaceutical, healthcare, and research industries.

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Course Features

- Learn directly from expert biostatisticians & statistical programmers

- Hands-on training in Base SAS, Advanced SAS & R programming

- In-depth learning of biostatistics & clinical trial concepts

- Practice with real life clinical trial datasets

- Mock interview sessions with real-time feedback

- Complete interview preparation kit (technical + HR, case studies, resume support)

- Weekly industry guest lectures

- Industry-aligned curriculum focused on pharma, CROs, and healthcare analytics

- Certificate of completion after successful course completion

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Career & Job Opportunities

- Biostatistician / Associate Biostatistician / Principal Biostatistician 

- Statistical Programmer / SAS Programmer / R Programmer / Clinical SAS Programmer 

- Clinical Data Analyst / Clinical Statistical Analyst

- Statistical & Data Reporting Analyst

- Research Analyst / Research Biostatistician

- Clinical Research Data Specialist

- Healthcare / Pharma Data Analyst

- Epidemiology Data Analyst

Industry Sectors:

- Pharmaceutical Companies

- Clinical Research Organizations (CROs)

- Hospitals & Healthcare Systems

- Public Health & Research Institutes

- Biotechnology and Life Science organizations

- Academic & Government research labs

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Who Can Join This Course?

- Students pursuing or completed B.Sc./M.Sc. in Statistics, Biostatistics, Mathematics, Life Sciences

- Pharmacy, Biotechnology, Medical, Nursing, and Allied Health graduates

- Public Health and Epidemiology students/researchers

- Data Science aspirants interested in healthcare analytics

- Working professionals looking to shift to clinical research, pharma, CROs

- Academicians and researchers wanting to learn SAS, R, and biostatistical analysis

- Anyone passionate about clinical research, statistics, and healthcare data science

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Modules Overview

Biostatistics

- Introduction, history, and applications in healthcare and research

- Case examples from clinical trials and real-world studies

- Job role and responsibilities of Biostatisticians and Statistical Programmers

R Programming Basics

- Installation, interface overview, syntax, variables, operators

- Data structures, control statements, functions, visualization

- Import/export data, data cleaning, ggplot2, and R Help system

Advanced R Programming

- Data wrangling, advanced visualization, clinical tables and graphs

- CDISC programming (admiral), survival analysis, R Shiny dashboards, automated reporting

Advanced Statistical Methods Using R

- Hypothesis testing, regression, ANOVA, survival analysis, BE/PK studies, Sample Size & Power calculation

SAS Programming

- Data management, libraries, functions, descriptive statistics, PROC SQL, graphs, and QC

- Statistical procedures, ODS, and reporting

Advanced SAS

- SAS Micro

- SAS SQL

- SAS Transpose 

SAS Clinical Programming & CDISC

- SDTM, ADaM, TLF generation, QC & submission-ready programming

Clinical Trials & Regulatory Fundamentals

- Phases I–IV, ICH-GCP, ethics, CRF, SAE/AE reporting, endpoints, essential documentation