Business intelligence course London refers to the process of making strategic business decisions based on analysing data that an organization collects as part of its operation. It combines business analytics and tools for assessing data such as data mining, data visualization and other tools that find patterns in large data sets that are collected by an organization.
AI and machine learning are increasingly being used to help analyse the vast amounts of data that companies collect about their operations and customers to identify patterns and trends that would otherwise be impossible for a human to do.
Courses are available to help organizations come to terms with these advances. A business intelligence course London will cover some or all of the following topics:
How to leverage information gathering and organise it to identify potential knowledge contained in data collected routinely as part of an organization’s normal operations. Courses tend to be focused on data mining and the new technological solutions for gathering data and drawing business intelligence from it.
An overview of business analytics and the way statistics and operational research are used to make decisions. It covers traditional descriptive, prescriptive and predictive methods for analysing business functions.
An introduction to data mining and machine learning techniques that are customised for data science business applications. It covers various tools (such as Python) that are used for data mining and examines various approaches to data mining methodologies and the way that machine learning is used for business decision making.
The theory and practice of ‘big data’. With the amount of data that is now available to organizations through the use of digital tools, the courses cover how to manage the massive volume of data that needs to be analysed and how to ensure data quality.
Data Visualization is an important element of the new approach to business intelligence since it enables complex data to be presented in an easily understood form. Courses will cover the theory and practice of data representation such as graphical data perception, dynamic visualization and data presentation through methods such as infographics.
Data warehousing is the repository of the data that is used to identify business intelligence conclusions and its architecture and storage are important to helping achieve this. Courses teach how to understand data warehousing and the concepts of multi-dimensional modelling and the integration of multiple sources of data into a cohesive whole. This can include the use of cloud technologies as the repositories of data warehouses.