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Data Analysis

Data Analysis

LevelIntermediate
ModeClassroom + Lab
BatchesMorning / Afternoon
OutcomeTurn data into insights

Data analysis is the process of examining, cleaning, transforming and modelling data to uncover meaningful insights and inform decision-making, using statistical methods and tools to identify patterns and trends.

Purpose

  • To extract valuable knowledge and insights from data, enabling informed decisions in business, science and the social sciences.

The Process

  • Data Collection: Gathering structured and unstructured data from various sources.
  • Data Cleaning: Fixing inconsistencies, errors and missing values to ensure data quality.
  • Data Transformation: Converting data into a usable format, such as through standardisation or normalisation.
  • Data Modelling: Applying statistical or machine-learning techniques to identify patterns and relationships.
  • Interpretation: Drawing conclusions from the results to support decision-making.

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