Data Analysis for New Analytical Scientists

Endorsed by

Course Details Premier

This learning path covers fundamental calculations, quantitation and calibration, errors, and method validation in support of chromatographic analyses.

6 Modules

Data Analysis for New Analytical Scientists

6 Items

Module

Calculations 1 - Units and Unit Conversions

In this module we cover the common scientific units used, conversion between these units, and how we use these units in the practical preparation of common reagents.

Module

Calculations 2 - Basic Result Calculations

This module will consider the basic calculations required for reporting results.

Module

Quantitation and Calibration

This module will provide an understanding of the mathematical methods which are used to quantitate and calibrate chromatographic data.

Module

Errors

This module will consider the sources of errors in the laboratory and how to handle them.

Module

Method Validation - Principles

This module introduces the principles of analytical method validation. Each of the key parameters which are tested during a validation protocol are discussed in order to provide an understanding of what is being asked of the analyst and analytical method.

Module

Method Validation - Technique

This module will walk you through the technique of method validation. Experimental design and analysis of the data it produces will be discussed in relation to the method parameter it is designed to assess.