The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (2024)

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (1)

The Imperial College and Corndel

Our data analyst programme establishes a powerful network of data scientists, analysts and database managers at key intersections of your business to develop the skills required for organisational success.

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  • The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (2)
  • The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (3)

Our mission is to upskill and develop transformational data talent

47%

Weak technical skills are an obstacle to the use of data in decision making in 47.5% of organisations.

69%

69% of UK business leaders believe their organisation has a data skills gap, and are finding it difficult to recruit tech talent.

70%

70% of digital transformation fails in organisations due to a lack of user adoption and behaviour change.

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (4)

A world-class

Data analyst programme

The Imperial College and Corndel partnership brings to market a data analyst programme that combines data and technical courseware with masterclasses and fireside chats from Imperial College facilitators – revolutionising traditional training. We equip data analyst professionals with the techniques, skills and knowledge to tackle key challenges of inefficiency and organisational agility resulting from data skills gaps. The programme embeds cutting-edge thinking in machine learning, AI and data science.

Delivered by experts, our one-to-one coaching model offers transformational learning that will make a real-world impact. We match each participant to an experienced coach who will personally support learners throughout the programme, ensuring they can confidently apply their new data skills.

Learner experience

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (5)

18-month blended learning delivery model with an award-winning curriculum

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (7)

16 hands-on workshops delivered by experienced data scientists

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (8)

Bite-sized, practical projects to embed learning that offers flexible learning content in a range of formats

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (9)

Who is the programme for?

This programme is designed for people who are looking to gain technical data skills to enable them to make better use of the data they have access to in their day-to-day role, regardless of their corporate function. They may work in sales and marketing and want to be able to create more sophisticated customer segmentation or may work in operational management and want to be able to create performance dashboards to enable easier tracking of key metrics.

Meet our Experts… World-class thinkers, mentors and educators

Delivered by experts – one to one coaching is at the heart of the Corndel experience. We match each participant to an experienced data coach who will personally support them throughout the programme, ensuring they confidently apply their new skills.

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (10)

Lisa Harty

Lisa Harty has 15+ years extensive experience in data science across the Telco and Credit Risk industry. Women in Credit Awards 2020 Winner: Outstanding Returner. As an accomplished leader and people manager, Lisa is passionate about diversity and inclusion in the workplace and championing STEM events within our communities to inspire future generations. Lisa has a BSc (Hons) Computational Mathematics and Postgraduate Certificate Actuarial Science.

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The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (11)

Joe Watkins

Joe Watkins has PhD in Mathematics, BSc in Mathematics. Joe has 10 years lecturing and mentoring experience in Mathematics, and running Outreach programmes and sessions in STEM subjects. Joe has experience in the charitable and health sectors as a systems architect and data analyst.

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (12)

Wakil Sarfaraz

Wakil Sarfaraz is data-scientist with BSc Mathematics (University of Sussex), MSc Mathematical Modelling and Scientific Computing (University of Oxford) and a PhD Mathematical Modelling and Computational Biology (University of Sussex). Wakil has experiene working in Cancer and Genomics, Gene Therapeutics, Analytics and Product Development. His greatest strengths are communication, problem-solving and flexibilty.

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The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (13)

Chelsea Smalley

Chelsea Smalley has over 13 years Business & IT experience working as a Data Engineer or Data Scientiest in Retail, Health, Government, Financial Services and Hospitality sectors. She has a Professional Certificate in Data Engineering, IBM, Databases and SQL for Data Science a Bachelor of Science, Computer Science and a Diploma in Legal Studies.

Masterclasses from Imperial College Business School

Imperial College Business School is home to many of the world’s brightest minds in the fields of data science and technology. As an integral part of your apprenticeship programme, chat to those in Imperial’s community about how they grew their careers in data and technology. Hear how they avoided the rocks in the road and spotted those opportunities that defined their future.

Additionally, learn from Imperial’s Professors and experts about the analytics and technologies that are rapidly coming over the horizon to impact how you do your job. Take away important, inspirational and practical information that you can immediately use in your role, all packaged in a digestible and engaging two-hour Masterclass.

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (14)

Chris Tucci

Game-changing technologies: What’s hot and what’s not?

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (15)

Yves-Alexandre de Montjoye

Why you should never join an unsecured wireless hotspot and other ways to lose your data shirt

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (16)

Sonali Parbhoo

Data in the fight against climate change

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (17)

Deeph Chana

Hacking on the world stage

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (18)

Marcin Kacperczyk

Why my hoover finds crumbs: The fundamental things to know about Artificial Intelligence and Machine Learning

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (19)

Pierre Dangauthier

Sport, Politics and other risky business

The guides… Download our brochures

Testimonials and Case Studies What people say about us

"The Corndel Data Apprenticeship has given me skills to take my work to the next level."

Corndel Learner, bp

The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (23)

Building a data-led organisation – Andy Key, Asda Read Case Study
The Imperial College and Corndel Data Analyst Programme (Level 4) - Corndel (2024)

FAQs

What can I do with Level 4 Data Analyst? ›

Possible job roles for a Data Analyst apprentice

Typical job roles suitable for this apprenticeship are: Data Analyst, Data Insight Analyst, Data Visualisation Engineer, Business Intelligence Analyst.

How long is a Level 4 Data Analyst apprenticeship? ›

The apprenticeship programme will usually take 21 months but this will depend on your prior knowledge and experience.

How hard is data analysis class? ›

A: Learning data analytics can be challenging, especially if you're new to programming, statistics, and data manipulation. However, with dedication, the right resources, and a strategic approach, it's definitely possible to overcome the challenges and become proficient in this field.

Is entry level Data Analyst hard? ›

Because the skills needed to perform Data Analyst jobs can be highly technically demanding, data analysis can sometimes be more challenging to learn than other fields in technology.

What is level 4 equivalent to? ›

Level 4 qualifications are equivalent to the first year of a bachelor's degree and are considered advanced learning. They are typically taken after college A-levels, an Access to Higher Education programme or similar Level 3 courses.

Can you make 200K as a data analyst? ›

Can a data analyst make 200K? Yes, highly experienced data scientists in top-paying industries such as finance or big tech can earn upwards of $200,000 annually.

Is a Level 4 apprenticeship worth it? ›

Why should you do a Level 4 apprenticeship? A Level 4 apprenticeship will enable you to gain industry experience, and earn a proper wage alongside achieving a qualification. Apprenticeships in general enable you to become highly employable, offering you specific skills that will be invaluable for your future career.

How many credits is a Level 4 apprenticeship? ›

An apprentice must complete a minimum of 100 credits from the award of a level 4 diploma. Where can I find a training provider?

Can I become a data analyst in 3 months? ›

While you can become a Junior Data Analyst in just three months, it's important to remember that this field requires ongoing education. As you gain experience at your first volunteer position, internship, or entry-level role, you'll continue to build your skill set, learn new tools, and refine your craft.

Is data analyst a lot of math? ›

To sum it all up — the core concepts associated with Algebra and Statistics are going to be the majority of math you'll need to know in a data profession. Realizing that both simple algebra and descriptive statistics are the main types of math you'll be doing in a visualization tool like Tableau.

Is data analysis a lot of math? ›

While data analysts must be adept with numbers and can benefit from having a basic understanding of math and statistics, much of data analysis simply involves following a series of logical procedures. People don't need to have a lot of mathematical expertise to excel in this field.

What is the hardest part of data analysis? ›

One of the biggest challenges in data analysis is ensuring the quality of the data you are working with. Data quality refers to the accuracy, completeness, consistency, and relevance of the data for your specific purpose. Poor data quality can lead to inaccurate results, misleading insights, and wasted resources.

Can I be a data analyst if I'm bad at math? ›

The main takeaway here is this: Don't let your fear of math–something you may have picked up very early on in life–hold you back from pursuing a career as a data analyst. Being a data analyst requires a lot of skills, only one of which is math.

Can I get a job as a data analyst without a degree? ›

Can You Land a Data Analyst Job Without a Degree? Absolutely! Many data analyst roles value skills over specific degrees. Liberal arts graduates, known for their critical thinking and communication abilities, often excel in these positions.

Is data analyst easier than coding? ›

No data analytics isn't easier than programming.

If you want to learn programming and get into a software development job, you need to learn data structures, system design, object-oriented methodologies, etc. You also need to design new algorithms to solve new problems. This is not the case in data analytics.

What is a level 4 apprenticeship equivalent to? ›

Level 4 apprenticeships are equivalent to the first year of an undergraduate degree, or a Higher National Certificate (HNC). Level 5 apprenticeships are equivalent to a foundation degree, or a Higher National Diploma (HND).

What is the next level after data analyst? ›

The career path of a Data Analyst typically starts with an Analyst 1 position, and then progresses to Analyst II, Senior Analyst, and then Data Scientist or even Chief Technology Officer. So if you pursue a career in data analysis, you have a long future of steady job growth ahead.

What kind of data analyst makes the most money? ›

Top 10 High Paying Data Analytics Jobs
  • Marketing Analyst. ...
  • Quantitative Analyst. ...
  • Data Architect. ...
  • Database Administrator. ...
  • Data Analyst. ...
  • Business Intelligence Analyst. ...
  • Data Scientists. ...
  • Operations Analyst. Operations analysts focus and analyze the internal and external processes of a business to understand how it works.
Dec 21, 2023

What are you looking forward to learning on the level 4 data analyst apprenticeship? ›

This intermediate level module is designed to build more advanced understanding of key mathematical concepts including probability, statistics, linear algebra, calculus and optimisation that underpin much of the AI and Data Science domain.

References

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