CREST Non-IT-to-IT

Data Analytics

For non-IT professionals moving into data analytics.

Level: Foundation to Intermediate Duration: Varies by certification level

Programme overview

This track introduces the end-to-end data analytics workflow, from data collection and cleaning through exploratory analysis, visualisation, and basic predictive modelling. It is designed for learners with little or no IT background who want to build practical, job-ready analytics skills and complete a domain-specific capstone project.

Who should attend

Non-IT professionals pivoting into data analytics
Business analysts seeking hands-on data skills
Individuals preparing for entry-level analyst roles

Modules & key topics

Introduction to Data Analytics
Data Collection and Cleaning
Exploratory Data Analysis (EDA)
Intro to Data Analysis Tools
Data Visualisation (Power BI / Tableau)
Basic Predictive Analytics
Intermediate Machine Learning
Business Intelligence
Domain-specific Capstone Project

Learning outcomes

Collect, clean, and prepare data for analysis
Perform exploratory and diagnostic analysis
Build dashboards and visualisations for stakeholders
Apply basic predictive and machine-learning techniques
Deliver a domain-specific capstone project

Skills & gap analysis

Track-specific skills and competency mapping will be added in a future phase. This section will link each programme to the Neo4j knowledge base and show relevant skills, proficiency expectations, and gap-analysis options.