Multivariate Data Analysis (MVDA) Omics | Open Course

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Multivariate Data Analysis (MVDA) Omics | Open Course Multivariate Data Analysis (MVDA) Omics | Open Course
 

Multivariate Analysis of Omics Data Open Web Course, 4 sessions

Learn how to interpret complex data quickly and confidently using the latest multivariate techniques. Discover the secrets of visualizing data tables and learn how to build robust predictive models that turn data into decisions. The course comprises of lectures, software demonstrations, and computer exercises in the software SIMCA®, based on real-life datasets. The training is split into four sessions. One home exercise per session is included, and it is expected that the course delegates work on them outside the session time.
Please register via "Request a quote".

Course Objective

The course objective is to guide the participants through their journey from importing the omics dataset to a multivariate biomarker identification based on their omics data.

Who Should Participate?

Researchers and scientists who want to model Omics data (Metabo(n/l)omics, Proteomics, Genomics, etc. with data from LC-MS, GC-MS or NMR spectrum, Gel Electrophoresis, Fluorescence measurements, Gene Chip Arrays, etc.) from all sectors of biological/pharmaceutical/medical/chemical/F&B/ with process understanding but with no or limited statistical background.

Item No.: 
UT-SC-2509
*Custom/bulk order quotes are provided within 72 hours of request.
Multivariate Data Analysis (MVDA) Omics | Open Course
Multivariate Data Analysis (MVDA) Omics | Open Course

Multivariate Analysis of Omics Data Open Web Course, 4 sessions

Learn how to interpret complex data quickly and confidently using the latest multivariate techniques. Discover the secrets of visualizing data tables and learn how to build robust predictive models that turn data into decisions. The course comprises of lectures, software demonstrations, and computer exercises in the software SIMCA®, based on real-life datasets. The training is split into four sessions. One home exercise per session is included, and it is expected that the course delegates work on them outside the session time.
Please register via "Request a quote".

Course Objective

The course objective is to guide the participants through their journey from importing the omics dataset to a multivariate biomarker identification based on their omics data.

Who Should Participate?

Researchers and scientists who want to model Omics data (Metabo(n/l)omics, Proteomics, Genomics, etc. with data from LC-MS, GC-MS or NMR spectrum, Gel Electrophoresis, Fluorescence measurements, Gene Chip Arrays, etc.) from all sectors of biological/pharmaceutical/medical/chemical/F&B/ with process understanding but with no or limited statistical background.

Item No.:
UT-SC-2509

Overview

Specifications

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Course Material and Software

The electronic course material (course slides and exercises) and the SIMCA® training course license will be emailed two weeks before the course starts. SIMCA® needs admin rights to be installed, so please arrange this with your organization’s IT as soon as possible if needed and allow time for the installation to be carried out before the course commences. Sartorius cannot install SIMCA® onto your laptop for you. For ease of visualization, we recommend that you have two monitors/screens per PC to follow the course and demos easily. However, this is not a requirement.

Cost and Conditions

The open web course fee is 1750€ per person (2025 price).
Cancellations received less than two weeks before the course 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 remaining amount will be refunded.
The registering company can substitute course participant(s) as long as Sartorius Stedim Data Analytics AB is notified before course commences.

Sartorius Stedim Data Analytics AB provides open web courses based on a specific number of registrants per session. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days before the course start date if the number of registrants is below the minimum number needed. In the event of a cancellation, a full refund will be provided, along with a 10% discount for affected registrant(s) to enroll in the next available course.

Applications

  • Application
    • Analytics
    • Cell Culture

Features

  • Device/Instrument Compatibility
    SIMCA®
  • Display
    SIMCA®

Product Information

  • Brand
    SIMCA®