* All fees are exclusive of vat ** PREMIUM - Customize your learning experience
This 5-day introduction to Laboratory Data Analysis presents a detailed discussion of important statistical concepts and methods of data presentation and analysis.
The training program is designed to reply to the needs of all laboratory professionals in oil and gas plants, pharmaceutical companies, petrochemical industries, food manufacturing companies and other enterprises involved in mass and continuous production.
What Do Participants Learn?
Enhance your ability to extract more meaningful data from your experimental data sets
Reduce the number of measurements required for certain applications
Learn useful and unambiguous recipes for analyzing data
Gain confidence in the use of basic statistical methods
Learn how to best utilize MS Excel functions to analyze experimental data
Improve your decision-making abilities
Understand the language of data statistics
Learn new ways to look at data
Who Should Attend?
Laboratory managers, supervisors, technicians, scientists, engineers, laboratory managers, R&D managers, manufacturing and production managers, and in addition to other quality assurance and quality control professionals who are interested in managing their functions in accordance with a data-based approach.
This course assumes no previous knowledge of statistics.
What Will the Learning Experience Include?
Comprehensive pre-program activities include:
Web-based information forms & surveys completed by attendee.
Direct consultation with the attendee about the expectations.
During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
Participants learn from expert trainers who have both academic and business experiences.
Highly applicable training content & instructive activities for adding depth to training topics.
**A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Explore & Practice
Apply & sustain the learning experience by using this ongoing support:
To ensure participant has new skills or behavior progress.
Optional, fee-based mentoring & coaching with the trainer.
Training materials & additional documents (e-books, pdf files, presentations and articles)
Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
Laboratory functions, systems and culture
Laboratory’s role in enterprise performance
Fundamentals, dimensions and determinants of quality in laboratory functions
Quality planning, control and improvement
The major quality initiatives
Laboratory quality assurance procedures in the international standards
Types of data in the laboratory environment
Laboratory information management
Procedures for assuring validity and quality in laboratory data
Laboratory Safety Program
Safety Officer Responsibilities
Education and Training
Documents and Records
Lab Audits and Inspections
Categories of data and purposes of data collection and analysis
Data collection techniques and tools
Data adequacy, quality, stability and integrity
Detection and handling of outliers
Populations and samples
Descriptive and inferential statistics
Modeling massive data as probability distributions
Measuring the association between the qualitative variables
X-Y covariance and correlation analysis
Computing, validating and applying regression models
Setting and testing of hypothesis
Computing confidence intervals to express uncertainty
Robust statistical analysis of laboratory data
Statistical analysis of calibration data
Measurement system analysis (accuracy and precision)
Assessing the bias, stability and linearity
Analysis of gage repeatability and reproducibility
Statistical process control (SPC) and control charts
Measuring process capability (performance and potential indicators)