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- HTML5 & CSS: introduction (stage 1)Course start date: Wed 11 Sep 2024 (and 2 other dates)
Location on this date: Hybrid (choose either online or in-person)
Tutors: George StickneyHTML is the foundation language of web sites and web based apps. It's easy to learn and can help you to begin a career in tech, update web sites and content management systems, have a better understanding of UX/UI, gain skills for SEO and digital marketing, collaborate more effectively with developers and much more!
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.Full fee £249.00 Senior fee £199.00 Concession £162.00 - Excel: advancedCourse start date: Wed 22 May 2024 (and 5 other dates)
Location on this date: Hybrid (choose either online or in-person)
Tutors: Aurica JalbaLearn advanced features of Excel: linking, advanced sorting, filtering, advanced formulae, scenarios, data validation and audit spreadsheet, pivot tables and macros to create and work with complex spreadsheets. This course is suitable for anyone who is involved in Data Analysis using Excel.
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.Full fee £199.00 Senior fee £159.00 Concession £129.00 - WordPress: intermediateCourse start date: Wed 12 Jun 2024 (and 1 other date)
Location on this date: Hybrid (choose either online or in-person)
Tutors: Julian HoldenTake your basic WordPress skills to the next level by using plugins and widgets to add new functionality, and by editing and creating theme files to customise the look of your site.
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.Full fee £229.00 Senior fee £183.00 Concession £149.00 - Introduction to machine learningCourse start date: Wed 16 Oct 2024
Location on this date: Hybrid (choose either online or in-person)
One of the great advances in technology is that machines can learn without humans teaching them explicit rules – e.g. letting machines train on samples of speech allows Siri to recognise your commands. Machine learning is a large part of artificial intelligence, and a mystery to most of us. This practical course teaches you how to program learning algorithms in Python. We will cover fundamentals of classification, natural language processing, financial predictions and much more. You will learn elements of data mining, how to choose a learning algorithm, and how to tweak parameters of the algorithm. We will briefly cover the theory behind the algorithms, so some maths knowledge is useful, but not required. To enrol, you must have experience with Python or a similar programming language, e.g. have taken City Lit’s Introduction to Python or Introduction to R programming course.
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.
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