Corporate Training
Looking for additional support on your investigational drug or device development?
Empowering Professionals with Data, Analytics, and Statistical Intelligence
To enhance corporate teams’ proficiency in Statistical Programming, Data Analysis, and Decision Science using tools like SAS, R, and Python — enabling organizations to make smarter, data-driven business decisions.
Training Modules Overview
| Module Title | Key Focus | |
|---|---|---|
| SAS Programming Fundamentals | Data step, PROC step, syntax rules, and debugging techniques | |
| Data Management & Manipulation | Data importing, cleaning, merging, transformations, and formatting | |
| Exploratory Data Analysis (EDA) | Descriptive statistics, visualization, and summary reports | |
| PROC SQL in SAS | Database operations, joins, aggregations, and subqueries | |
| Advanced SAS Programming | Macros, arrays, functions, loops, automation, and error handling | |
| Statistical Modeling | Regression, ANOVA, hypothesis testing, predictive analytics | |
| ODS & Reporting Automation | Creating professional reports (PDF, Excel, HTML) using ODS | |
| Clinical SAS Programming (Optional) | SDTM, ADaM, TLF creation, CDISC standards, regulatory submissions | |
| Capstone Project | Real-world business or clinical data project with presentation & evaluation |