
Statistics for Non-Statisticians
Summary
This training course is tailored for professionals who are not statisticians but need to apply statistical concepts in their roles. It serves as an introduction to fundamental statistical principles and practices, equipping participants with the knowledge to analyze data, interpret results, and make informed decisions based on statistical evidence. Through interactive examples and case studies, participants will learn key concepts like hypothesis testing, sample size determination, and experimental design, among others.
Whether you’re involved in process optimization, quality control, or research and development, this course will empower you to effectively use statistical tools to enhance your work and make data-driven decisions with confidence.
Key Learning Objectives
By the end of the course, participants will:
- Understand basic statistical terminology and concepts.
- Learn how to create and interpret data visualizations.
- Grasp the principles of hypothesis testing and its practical applications.
- Distinguish between point estimates and confidence intervals.
- Apply techniques for experimental design to optimize processes.
- Determine appropriate sample sizes for robust study results.
- Evaluate measurement systems for accuracy and precision.
- Assess process capability through statistical indices.
Key Topics
- Data and Graphical Analysis: Learn how to analyze and represent data visually to uncover trends and insights.
- Hypothesis Testing: Understand how to test assumptions and draw meaningful conclusions from data.
- Confidence Intervals: Learn the importance of confidence levels and intervals in decision-making.
- Analysis of Variance (ANOVA): Explore how to identify and analyze sources of variability in data.
- Regression Analysis: Understand relationships between variables and predict outcomes.
- Design of Experiments (DOE): Gain insights into robust experimental designs to improve processes.
- Sample Size Determination: Learn techniques to ensure adequate sample sizes for reliable results.
- Measurement System Analysis (MSA): Evaluate tools and methods for precision and accuracy.
Key Takeaways
Participants will leave the course with:
- A strong foundation in statistical terminology and practices.
- The ability to design and evaluate experiments effectively.
- Practical insights into optimizing processes and improving quality.
- Confidence in applying statistical tools to real-world scenarios.
Who should attend?
This course is ideal for professionals seeking to strengthen their understanding of statistical methods, including: Process Engineers, Quality Assurance/Quality Control Personnel, CMC (Chemistry, Manufacturing, and Controls) Personnel, Assay Development Scientists, Quality Engineers
Our online training experience includes
- Our client zone – a single source for all training materials as well as pre and post-training communication
- Live interactive format via the Zoom platform
- Direct interaction with the trainer
- Q&As, case studies, polls
- Training in digital format
- Digital and LinkedIn certificates
Trainers
Statistics for Non-Statisticians
Download the full training agenda to reveal complete session details, training takeaways, case studies, daily schedule, special features and full trainer bio.