Responsum Analytics provides on and off-site training, one-day seminars, and webinars that cover a wide range of topics in statistics and data science. Our training is designed to help busy professionals and organizations learn how to apply statistical methods relevant to their field in an effective and action-oriented manner.
Our instructors are industry leaders in their fields with a passion for teaching and helping others solve real-world problems. They thrive on making the subject matter interesting, relatable, and most importantly, applicable.
Training topics include:
- PK/PD Analysis
- LD50 Analysis
- Equivalence Tests
- Biodefense
- Assay Validation
- GLP, GMP Experience
- Smart Manufacturing
- Quality by Design
- Design Space
- PAT
- Non-linear Mixed Effect Modeling
- Probit Regression
- Logistic Regression
- Industry 4.0
- Dose Response Modeling
- Data Imputation
- Response Surface Methods
- Design of Experiments
- Statistical Process Control
- Vaccine Studies
- Digital Manufacturing
On-site Training
Our on-site training offerings are targeted to the needs of your organization. Responsum Analytics offers training tailored specifically to your organization and the problems faced in your field. On-site seminars are a great way to train employees in a cost-effective manner all in the convenience of their workplace. These seminars are designed to be informational and interactive, and because they are customized to your requirements, your organization will benefit from having a trained workforce who can implement real-world practical solutions.
Seminars
Seminars are a great way to brush up on or learn new statistical and data science techniques and topics relevant to your field. Our featured seminars meet for one full day (unless otherwise specified) and employ a mix of both lecture and hands-on methods of teaching. Please check back periodically for updates.
Statistical Tools for Clinical Scientists
Part 1: Pre-Experimentation and Data Prep
An interactive, day-long seminar that will give you the tools you need to design efficient experiments and prepare your data for statistical analysis.
Statistical Tools for Clinical Scientists
Part 2: Preliminary Analysis
COMING SOON
Statistical Tools for Clinical Scientists
Part 3: Modeling, Regression, and Interpreting Results
COMING SOON
Any questions? Drop us a line to inquire further about our training offerings.