Information and Booking
Trainer: Corndel and Imperial College Executive Education
Cost: Course fees are fully funded by Imperial’s apprenticeship levy, and there is no cost to the individual or department. The standard cancellation policy will apply.
Duration: 14 months
Dates:
Starts: 19 June 2025
You must attend an information session to enrol on our Data Academy.
Overview
The Imperial and Corndel Data-Driven Professional Programme is one of four Data Academy courses designed to equip staff with the digital skills and technical proficiency needed to succeed in their current work roles.
This programme is for individuals who use tools like Excel regularly, are responsible for reporting and decision-making, and want to feel more confident handling and presenting data. Delivered over fourteen months, the course will help you better understand the data you have access to in your role, validate and interrogate information, and make more informed decisions. Key themes include:
- Handling data safely and securely
- Improving data quality
- Creating visualisations and communicating data insights
- Automating manual, repetitive tasks to increase efficiency
- Microsoft Excel, Power BI, and advanced spreadsheet skills
- Data analytics tools
Delivery will include twelve hands-on group workshops with a data science expert, monthly 1-1 sessions with a coach, guided self-learning, and bite-sized practical projects.
You will also attend a masterclass programme delivered by Imperial academics from Executive Education and the Department of Computing on themes such as digital health innovation, cybersecurity, and ethics in data science. As such, this course is a unique opportunity to access leading-edge thinking in data science and technology.
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The programme is open to eligible Imperial staff from any job family or level who would like to develop data skills to support their work.
Learners should be regular users of Excel, work with datasets, and work in a role that requires them to analyse/report on data.
However, your primary role will not be manipulating and interrogating large amounts of data (staff in specialist data roles might wish to consider our Data Analyst or Data Engineer Programmes).
Applicants should:
- Be regular users of Excel and work with datasets.
- Work in a role that requires you to analyse and report on data.
- Have approval from your line manager.
- Commit to the minimum learning requirement (approximately 6 hours per week).
- Have Maths and English at Level 2 (i.e., GCSE grade A* - C / 9 – 4 or equivalent). If you do not have this, you will have an opportunity to complete it as part of the programme.
- Have enough time remaining on your contract of employment to complete the programme (at least 14 months from the course start date).
- Meet Department for Education rules around the Right to Work in the UK and residency.
The programme is fully aligned with the Level 3 Data Technician apprenticeship standard, and participants will:
- Develop a greater understanding of data, which will enable you to make more informed, evidence-based decisions and maximise your impact.
- Learn to better use outputs from data analyst and data analysis projects.
- Learn to effectively automate manual, repetitive tasks to increase your productivity and allow you to focus on more impactful work.
- Be better equipped to communicate impact, value and insights through data visualisation.
- Increase your ability to handle data more safely and securely.
On successful completion, participants will gain:
- Level 3 Data Technician apprenticeship standard
- Corndel Data Professional Diploma
Other participants of the training have said:
- "This course is about so much more than Advanced Excel, and there is a great deal to learn that can make a huge difference in your day-to-day role and the credibility you build."
Corndel Data Professional Learner - "With the tools I have learnt in this programme, I can pull a large amount of data and summarise this in a single Excel file to display and communicate statistics clearly. I also use these to prepare data for audits, which used to take weeks and now only take 10 minutes."
Corndel Data Professional Learner