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Theme: Statistical and Mathematical Software

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34 matching courses


LiL: Excel: Statistical Process Control (Online) Self-taught Booking not required

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.

LiL: MATLAB - Learning MATLAB (Online) new Self-taught Booking not required

A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: MATLAB 2018 Essential Training (Online) new Self-taught Booking not required

A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

LiL: Python: Statistics Essential Training (Online) Self-taught Booking not required

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.

LiL: Quantitative Research: Foundations (Online) Self-taught Booking not required

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.

LiL: SPSS: Academic Research (Online) Self-taught Booking not required

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.

LiL: SPSS: Statistics: Essential Training (Online) Self-taught Booking not required

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.

LiL: SQL: Statistics: Essential Training (Online) Self-taught Booking not required

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.

LiL: Stata - Introduction (Online) Self-taught Booking not required

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.

LiL: Statistics Collection for Researchers (Online) Self-taught Booking not required

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.

LiL: Statistics: Everyday (Online) Self-taught Booking not required

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.

LiL: Statistics: Foundations: 1 (Online) Self-taught Booking not required

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.

LiL: Statistics: Foundations: 2 (Online) Self-taught Booking not required

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.

LiL: Statistics: Foundations: 3 (Online) Self-taught Booking not required

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 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.

MathWorks Academy: MATLAB Fundamentals (Online) new Self-taught Booking not required

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.

MathWorks Academy: MATLAB Onramp (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course is an introductory tutorial on commonly used features and workflows.

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.

MathWorks Academy: MATLAB Onramp Stateflow (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Learn the basics of creating, editing, and simulating state machines in Stateflow.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Improve the robustness, flexibility, and efficiency of your MATLAB code.

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.

MathWorks are running a series of regular live webinars, tailored to Professors, PhD students & Post-Docs.

Each Wednesday you will discover a technical topic where you can learn about the latest MATLAB capabilities for your research applications.

To register for the sessions click here

These technical sessions will be followed up on Tuesdays with a session covering online teaching, including ready-to-use resources. You will explore how to use MATLAB to increase student engagement in your course.

his is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

MathWorks Academy: MATLAB Simulink Onramp (Online) new Self-taught Booking not required

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This is an introductory tutorial on commonly used features and workflows.

This course can be accessed here.

MathWorks Academy: MATLAB: Deep Learning (Online) new Self-taught Booking not required

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.

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.

MathWorks Academy: MATLAB: Machine Learning (Online) new Self-taught Booking not required

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 University of Cambridge.

Use root finding methods to solve nonlinear equations.

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 MATLAB ODE solvers to numerically solve ordinary differential equations.

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.

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