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Python is a general-purpose programming language used to build just about anything. Python is key for backend web development, data analysis, artificial intelligence and scientific computing, all of which are key for pursuing IT careers.

With PCAP: Programming Essentials in Python you learn to design, write, debug, and run programs encoded in the Python language. No prior programming knowledge is required. The course begins with the very basics guiding you step by step until you become adept at solving more complex problems.

If you already have an active Cisco account you can join the course by clicking here.

This data analytics essentials course teaches you the fundamental tools of a data analyst. You will learn to transform, organize, and visualize data with spreadsheet tools such as Excel. You will also learn how to query data from a relational database using SQL and how to improve your data presentations using powerful business intelligence tools like Tableau. By the end of the course, you will have an analytics portfolio complete with an analysis of the popular movies dataset, showcasing your skills in Excel, SQL and Tableau.

This introductory course takes you inside the world of data science. You will learn the basics of data science, data analytics, and data engineering to understand how machine learning is shaping the future of business, healthcare, education, and more. Data science professionals who can provide actionable insights for data-driven decisions are in high demand all over the world.

C++: Programming in Modern C++ Wed 4 Jan 2017   09:30 Finished

This is an introduction to programming in modern C++, based on the book "'Programming: Principles and Practice using C++"' (2nd ed.) by Bjarne Stroustrup. The aim is to teach participants how to write non trivial, practical programs that are comprehensible and portable. Participants should also be able to understand and modify most well-written C++ applications, though not necessarily every aspect of them.

C++ is a large and complicated language, which is reflected in the length of this course. The creator of C++, Prof. Stroustrup, estimates that newcomers to programming will have to devote in excess of 200 hours' of work to learn how to program in C++ properly. Please bear that in mind if signing up for the course. It would also be of help (though not essential) if attendees have some prior programming experience in another language, e.g. Python.

High Performance Computing: An Introduction Tue 6 Jun 2017   09:30   [More dates...] Finished

The course aims to give an introductory overview of High Performance Computing (HPC) in general, and of the facilities of the High Performance Computing Service (HPCS) in particular.

Practical examples of using the HPCS clusters will be used throughout, although it is hoped that much of the content will have applicability to systems elsewhere.

2 other events...

Date Availability
Thu 17 Nov 2016 09:30 Finished
Thu 23 Mar 2017 09:30 Finished

This course aims to provide a basic knowledge of GPU programming using OpenACC directives. The course is very hands-on oriented, aiming to give to you the opportunity to practice and experiment from the very beginning.

2 other events...

Date Availability
Fri 28 Oct 2016 09:00 Finished
Fri 3 Feb 2017 09:00 Finished

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.

LiL: Data Analytics: 1 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.

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: Data Analytics: for Students (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: Data Analytics: Graph Analytics (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.

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: Data Science: Ask Good Questions (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: Data Science for Java Developers (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.

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: Data Science Foundations: Data Mining (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: Data Science Foundations: Fundamentals (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.

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