Want to learn more about how computers work and what computer programmers do? Get started using Python, the most popular and easy-to-use programming language in the world.

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.

Data analysis involves examining, cleaning, and interpreting data to make informed decisions. Python offers the best toolkit for professionals, providing ease and efficiency. Data Analytics with Python: introduction course teaches you to automate tasks, analyze data, and make smarter decisions.

Take your Python coding skills to the next level. Extend your programming skills by learning how to create secure and reusable code using sub-routines and modules, use advanced lists and dictionaries to create more complex programs that solve real world problems, use inbuilt libraries to boost the functionality of your programs and learn how to build graphical interfaces to your code that work on Windows, Mac and Linux systems.

Object Oriented programming underpins modern software development. On this course, you will learn both the theory of OO programming and its implementation in Python. We will also explore the functional programming components of this language.