Python for SIMCA® and SIMCA®-online - Web course

Course Objective

This course aims to show how to use the python functionalities in SIMCA^® / SIMCA^® -online to incorporate automation / custom functionality. Multivariate modelling is a powerful tool used in research, development, production, and quality control in various industries, including pharma and biotech, food and beverage, pulp and paper, and chemicals. The addition of the ability to enhance current workflows / pre-processing options and increase automation in your daily work using python with SIMCA^® will be highlighted by showcasing various use cases.

Who Should Participate?

The course is best suited for current SIMCA® users, with some basic Python experience, interested in using Python scripting in SIMCA^® . Some basic Python knowledge is recommended, alternatively the participants can go through one of the suggested online Python courses before attending this course. The course is intended for researchers, scientists, and engineers working with the collection and interpretation of data. Methods are general and applicable in most fields, where the aim is to gain maximum information from the data. No prior knowledge of statistics is assumed.

Prerequisites:

• Familiarity with SIMCA^® .
• Python basics course (priori knowledge or one of the four suggested courses)
• SIMCA^® version >= 17 (windows OS)
• Python IDE (Visual Studio Code / Spyder)

Selected Course ContentDay 1 – Creating solutions for SIMCA^® : Introduction to Python scripting in SIMCA^® and the Umetrics^® package

• Chapter 1- SIMCA Python Scripting intro
• Chapter 2 - Script Examples overview
• Chapter 3 - PCA script

Day 2 – Creating solutions for SIMCA®-online: Python add-ins for deployment to SIMCA^® -online

• Chapter 4 - File format add-in
• Chapter 5 - Pre-processing add-in
• Chapter 6 - Advanced topics

Language Information

Seminars are given in the language stated. In-depth discussion, course material, and printed material are in English; hence knowledge of English is required.

Course Material and Software

The electronic course material (course slides and exercises) and the SIMCA^® course license will be emailed two weeks before the course starts. SIMCA® needs admin rights to be installed, so please get in touch with IT soonest. Sartorius cannot help you to install SIMCA®. We recommend you have two screens or one projector and one PC to follow the course and demos easily. However, this is not required.

PreparationSuggested Python Intro courses as course prerequisite1. Datacamp (8 hours est.)

• Introduction to Python Course | DataCamp
• Intermediate Python Course | DataCamp
• Learn Python - Free Interactive Python Tutorial (8 hours est.)
• Build real world applications with Python - Learn | Microsoft Docs (3 hours est.)
• Google's Python Class | Python Education | Google Developers (2 day course)

If you have any questions, please do not hesitate to send an e-mail to: umetrics_academy@sartorius.com

Cost and Conditions

The course fee is 814€ per person.Cancellations received later than two weeks before the course starts will not be refunded. For courses cancelled more than two weeks before the course starts, Sartorius Stedim Data Analytics AB will retain 10% of the course fee to cover administrative costs and the rest of the amount will be refunded.Course participant(s) can be substituted by the registering company as long as Sartorius Stedim Data Analytics AB is notified.Sartorius Stedim Data Analytics AB are providing courses based on a sufficient number of registrants. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days prior to the course start date, if the number of registrants is too low. Full refund will be made to these registrants. A 10% discount will be made to any registrant(s) enrolling in the next available course.