Data Analysis & Statistics Courses in London & Online

Develop further skills to tackle complex data sets and create conclusions and recommendations for non-data minded stakeholders in your organisation. Focus on pivot tables, look ups, formulas and perfecting your commentary skills. Intermediate/advanced Excel skills covered.

One of the best ways to learn machine learning is to take a project from beginning to end. This course will enable you to do this, in your field of interest.

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.

Develop essential skills to tackle complex data sets & create conclusions and recommendations for non-data minded stakeholders in your organisation. Focus on pivot tables, formatting and perfecting your commentary skills. Some familiarity with using Excel is required.

Learn a range of commonly-used techniques from statistics and data processing from the mean and range to kernel density estimation and the Fourier transform.

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.

Learn about the main types of asset traded on financial markets including shares, bonds and derivatives, including how and why they are used and the mathematical techniques used to value them.