Course overview.
Join our Data Analytics and Machine Learning course to elevate your data analysis and predictive modelling skills, and empower your organisation to make data-driven decisions and stay competitive in the digital age. This programme provides a dynamic learning experience, featuring hands-on exercises, real-world case studies, and a focus on the practical application of data analytics and machine learning. From understanding data patterns and building predictive models to leveraging AI for data-driven solutions, you will gain a comprehensive understanding of how to extract valuable insights from data and implement machine learning techniques. Enrol now to become a data expert and lead your organisation into the future of data-driven innovation and success.
Who it's for.
This course is designed for data analysts, data scientists, business analysts, and professionals seeking to enhance their data analytics and machine learning skills. It's also valuable for organisations looking to empower their teams with the knowledge and expertise needed to extract valuable insights from data, build predictive models, and implement AI-driven solutions. Whether you are a data enthusiast or a business leader aiming to make data-driven decisions, this course equips you with the essential skills to excel in the field of data analytics and machine learning.
What you'll learn.
Module 1: Introduction to Data Analytics and Machine Learning
In this foundational module, participants will receive an introduction to the principles and concepts of data analytics and machine learning, covering topics such as data exploration, basic algorithms, and the machine learning workflow. Through hands-on exercises and real-world examples, participants will gain a solid understanding of the foundational elements that underpin data analytics and machine learning.
Module 2: Advanced Data Analytics Techniques
This module focuses on advanced data analytics techniques, including predictive modelling, clustering, and feature engineering. Participants will learn how to apply these techniques to extract valuable insights from data and make informed business decisions. Through practical applications and case studies, participants will refine their skills in leveraging advanced data analytics for meaningful results.
Module 3: Machine Learning Implementation and Optimisation
The final module explores the implementation and Optimisation of machine learning models, covering topics such as model evaluation, hyperparameter tuning, and deployment strategies. Participants will learn how to effectively deploy machine learning models in real-world scenarios and optimise their performance over time. Through hands-on projects and strategic discussions, participants will develop the skills needed to successfully implement and manage machine learning solutions.
Data intelligence.
A practical introduction to data analytics and machine learning, designed to help you understand how organisations can turn data into useful insights and better decisions. Explore the principles behind analysing data, identifying patterns and using machine learning to solve real business problems. No advanced technical background is required — the course provides a clear and accessible introduction to the technologies and techniques shaping modern data-driven organisations.
Data Foundations
Understand the role of data in modern organisations and explore how good-quality information can support better decisions. Learn about different types of data, how it is collected and organised, and why data quality, accuracy and context are essential to meaningful analysis.
Data Analytics
Discover how data can be explored, analysed and presented to reveal useful trends and insights. Learn about practical analytical approaches, interpreting results and communicating findings clearly so that data can support real-world business decisions.
Machine Learning
Explore the principles behind machine learning and understand how systems can learn patterns from data to make predictions or support decisions. Look at key concepts such as training data, models, predictions and the different ways machine learning can be applied.
Business Applications
Bring the concepts together by exploring practical applications of analytics and machine learning across organisations. Consider how these technologies can support forecasting, customer insight, automation, efficiency and strategic decision-making while recognising their limitations and risks.
Book your place.
Fill in the form and we'll confirm your booking the same working day. Invoice on request — we accept PO numbers from public bodies and corporate accounts.
Reserve your seat.
Book the Minitab Training course. We'll confirm your seat by email the same working day. PO numbers and invoicing accepted.
Got it — your booking enquiry is in.
We'll confirm your seat by email within the same working day. You should also see a copy of your enquiry in your inbox. Need anything urgent? Email hello@ascenttrainingwales.co.uk or use the live chat.
This course is fully fundable through ReACT+.
If you've been made redundant or are facing redundancy in Wales, the Welsh Government's ReACT+ scheme can fund up to £1,500 toward this course — plus childcare, travel and accommodation expenses. We'll handle the application.
Benefits of Attending This Course
Gain practical knowledge of data analytics and machine learning to help you make informed decisions and improve business performance. Learn how to transform data into actionable insights and understand how AI technologies can be applied in real-world environments.
Ascent Training Wales · Bridgend.
Our conference room is purpose-built for effective training — bright, modern, and fully equipped for workshops, seminars and accredited sessions.
Llynfi Enterprise CentreHeol Ty Gwyn Industrial Estate
Maesteg, Bridgend, CF34 0BQ
Unlock the Power of Data and Machine Learning
Build Data Analytics Skills
Learn how to analyse, interpret and visualise data to uncover insights that support smarter business decisions.
Understand Machine Learning Concepts
Explore the foundations of machine learning, including predictive modelling, algorithms and practical business applications.
Apply AI-Driven Insights
Develop the knowledge to use analytics and machine learning techniques to solve problems and identify new opportunities.
Common questions.
Quick answers to what most people ask before booking. Still need help? Get in touch.
How long is the course and where is it delivered?
How much does it cost and what's included?
When is the next date available?
Is this course eligible for ReACT+ funding?
Can you deliver this course in-house for our team?
From the classroom.
Our Bridgend venue is purpose-built for working learning — bright, modern, configurable for cohorts of four to twelve, with quality AV throughout and free parking right outside.
Llynfi Enterprise Centre · Bridgend · More about our venue →
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Ready when you are.
Book Data Analytics and Machine Learning Course for £275 a seat, or send us a brief and we'll come back with a tailored in-house quote for your team within two working days.