All University Information Services - Digital Literacy Skills courses
Showing courses 1876-1900 of 2013
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A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
A recommended course by the Digital Literacy Skills Programme as part of the University of Cambridge's subscription to LinkedIn Learning.
The course can be accessed here.
This a curated course by the Digital Literacy Skills programme as part of the University of Cambridge's subscription to LinkedIn Learning.
This course can be acccessed here.
Members of the Desktop Services team will be presenting an update to the Managed Cluster Service and the University Managed Print Service.
Refreshments will be available prior to and after the meeting in the Norwich Auditorium.
An online workshop on how to develop your first MATLAB code.
In this session, you will be introduced to the MATLAB environment and programming language. We will discuss the basic operations and core concepts that form the building blocks of any scientific programme.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Learn the theory and practice of building deep neural networks with real-life image and sequence data.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Create custom visualizations and automate your data analysis tasks.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Learn MATLAB for financial data analysis and modeling.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.
This course provides a comprehensive introduction to common features and workflows in MATLAB.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Get started quickly with basic descriptive statistics and data fitting.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Get started quickly with an introduction to symbolic math.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the University of Cambridge.
Explore data and build predictive models.
If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.
Get started quickly using deep learning methods to perform image recognition.
This course can be accessed here.
This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.
Learn the basics of practical machine learning methods for classification problems.
This course can be accessed here.