Discover everything you need to know below — from key insights to helpful tips that make a difference.
The focus of Module 1: Data Fundamentals and Lifecycle
The initial session, Data Fundamentals and Lifecycle, introduced key concepts in understanding, managing, and utilising data effectively. It covers key statistical techniques such as descriptive statistics, hypothesis testing, and correlation analysis. Learners explored the data lifecycle, including collection, processing, storage, and analysis, with a focus on applying these principles in real-world scenarios.
Our expert trainer Simon provided a structured and interactive learning environment, ensuring that participants could relate the theory to their professional contexts.
What our learners had to say
The feedback from our attendees has been overwhelmingly positive, reflecting the immediate value they’ve gained from the course:
- Hannah: “Really helped with understanding data and how I can use it effectively in my current role.”
- Joanna: “It is well structured and guided in a way that it supports my learning.”
- Zoe: “I have picked up several areas that we need to get better with the data lifecycle. The whole day has supported my professional development as I feel that I am a complete novice, and this will support me to no end.”
- Svitlana: “I believe that this training will significantly enhance my technical skills.”
- Anna: “Excellent teaching, Simon makes the class very all-inclusive and makes sure we’re all following. Very patient and answers questions quickly and with patience with the students.”
Key takeaways from the session
Our learners left the first session with:
- Enhanced confidence in working with data: Even those new to the subject felt empowered to tackle data challenges in their roles.
- A deeper understanding of the data lifecycle: Insights into how data flows and is used across organisations, helping learners identify areas for improvement.
- Practical strategies for visualisation and analysis: Techniques they could apply immediately in their jobs to support better decision-making.
What’s next?
As the course progresses, participants will dive deeper into advanced topics such as data analysis techniques, visualisation tools, and data-driven decision-making. Each session is designed to build on the last, ensuring learners leave the programme ready to excel in data-centric roles.
Join the NCFE Level 4 Diploma: HTQ Data Analyst HTQ
The Level 4 Diploma: Data Analyst course is ideal for:
- Career Starters entering data analytics.
- Career Changers transitioning to data-focused roles.
- Current Employees who use data in their roles to inform decisions. This could include Marketing, Sales, Finance, IT, MI or Administration.
- Employers training staff to leverage data insights.
Duration: 7–8 months, 1 live monthly teaching session per month with self-study assessment work.
Course start dates for 2025:
- COHORT 4 – Mondays
Induction: Monday 13th January 2025, first teaching session Monday 20th January 2025 - COHORT 5 – Thursdays
Induction: Thursday 13th February 2025, first teaching session Thursday 20th February 2025 - COHORT 6 – Wednesdays
Induction: Tuesday 4th March 2025, first teaching session Wednesday 5th March 2025 - COHORT 7 – Fridays
Induction: Friday 21st March, first teaching session Friday 28th March 2025