Data Science

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.

Hypothesis Testing

A statistical method for making decisions about population parameters based on sample data evidence.

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.

An automated workflow that extracts data from sources, transforms it according to business rules, and loads it into a target system.

The practice of building narratives around data insights using visualisations and narrative techniques.

Changes in the statistical properties of data over time that can degrade machine learning model performance.

The graphical representation of data and information using visual elements like charts, graphs, and maps.

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

The practice of collaboration between data science and operations to automate and manage the machine learning lifecycle.

The documentation of data's origins, movements, and transformations throughout its lifecycle.

Tracking and analysing the sequential steps users take toward a desired action to identify drop-off points.