Hypothesis Testing

Data Science

An interdisciplinary field using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

Big Data

Extremely large and complex datasets that require advanced computational tools and techniques to store, process, and analyse.

Data Engineering

The practice of designing, building, and maintaining data infrastructure, pipelines, and architectures.

Exploratory Data Analysis

An approach to analysing datasets to summarise their main characteristics, often using statistical graphics and visualisation.

Statistical Modelling

The process of applying statistical analysis to a dataset, identifying relationships and patterns within the data.

Diagnostic Analytics

Analysis techniques focused on understanding why something happened by examining data patterns and correlations.

Time Series Analysis

Statistical techniques for analysing time-ordered data points to identify trends, cycles, and forecasting patterns.

Regression Analysis

A set of statistical processes for estimating the relationships between dependent and independent variables.

Bayesian Statistics

A statistical approach that incorporates prior knowledge and updates probability estimates as new data is observed.

Monte Carlo Simulation

A computational technique using repeated random sampling to obtain numerical results for problems with many coupled variables.

Business Analytics

The practice of iterative exploration of organisational data to drive business planning and decision-making.

Market Basket Analysis

A data mining technique discovering associations between items frequently purchased together.

Advanced analytics that recommends specific actions to achieve desired outcomes based on predictive analysis.

Techniques such as differential privacy, federated learning, and secure computation that enable data analysis while protecting individual privacy and complying with regulations.

The analysis of historical data to understand what has happened in the past and identify patterns.

The process of analysing customer attrition to understand why customers stop using a product or service.

The study of graphs representing relationships between discrete objects to understand network structure and dynamics.

Online Analytical Processing — a category of software tools enabling analysis of data stored in databases for business intelligence.

Changes in the underlying patterns that a model was trained to capture, requiring model adaptation.

Artificially generated data that mimics the statistical properties of real-world data for training and testing.