The Data Analytics: Transform course is ideal for those looking to enter the data/tech industry, focusing on turning data into actionable insights. It covers data collection, organisation, cleaning, and analysis to support informed decision-making. Students will learn Python programming, data visualization, SQL, regression modeling, and web scraping. They will translate data into actionable insights and drive business results. The course concludes with a capstone project, allowing students to apply their skills to a topic of their choice, demonstrating practical outcomes for the workplace.

The Data Analytics with Python: Elevate course offers flexible learning tailored to your schedule, whether over six months or a few weeks. It teaches foundational Python and SQL skills, with practical applications in data visualisation, exploratory data analysis, and simple data modelling. The course includes extensive practice through lab exercises and embedded activities, enhancing your coding and analytical skills. Students will also complete a mid-point and a final project to consolidate their learning and demonstrate their proficiency in data analytics.

The Data Analytics: Elevate course is tailored for professionals aiming to harness the full potential of data. Data Analytics involves extracting valuable information from raw data, a process that includes sourcing, cleaning, and analysing data to uncover insights and discern trends hidden within large data sets. With the increasing volume and variety of data, the ability to confidently use data to drive business decisions is crucial. This course is designed for those who wish to deepen their understanding of data analytics and apply it effectively to promote business growth.

The Professional Certificate of Competency in Digital Twins and Simulation Monitoring introduces the principles of digital twinning, a key component of Industry 4.0. It explores how products, processes, and operations are digitised to enable advanced simulation and modelling. By creating virtual representations, this approach helps analyse procedures and identify potential issues before they occur. Despite being a relatively recent development, digital twinning is driving rapid innovation and shaping the future of industrial operations. Enquire now for a full list of entry requirements and available enrolment dates.

The Professional Certificate of Competency in Data Engineering Foundations provides essential skills in data architecture, modelling, ETL processes, and big data technologies. It covers data collection, storage, processing, and analysis, equipping participants to develop robust data solutions. The course explores industry best practices, ensuring readiness for real-world challenges. By completion, participants will be proficient in designing and managing efficient data workflows and infrastructures, making them valuable in the evolving field of data engineering. Enquire now for a full list of entry requirements and available enrolment dates.

The Professional Certificate of Competency in Big Data and Analytics in Electricity Grids introduces the use of big data and analytics in modern energy systems. It covers data acquisition, processing, and visualisation, along with machine learning models such as artificial neural networks and decision trees. Engineers will learn to apply data-driven solutions to real-world challenges in electricity grids. This qualification is ideal for professionals seeking to enhance decision-making and operational efficiency in the energy sector. Enquire now for a full list of entry requirements and available enrolment dates.