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April 2024

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One data apprentice can create real business impact

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£1.4m revenue

identified through data-driven insights

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£120,000 saved

by creating efficiencies

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90% shorter project times

achieved through automations

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5x faster ML model training

achieved through automations

Build capability to create and maintain key data infrastructure

Want to train new talent and reskill existing employees with one of the most in-demand technical skillsets? Develop key internal capabilities to raise the usability of critical datasets in your organisation. Cambridge Spark's Level 5 Data Engineer Apprenticeship equips learners with core technical and leadership skills.

In turn, learners are able to support business functions in creating and maintaining data analytics pipelines. They build the skillset to access data in their organisation and gain an understanding of the data engineering lifecycle, data modelling and more to help organisations maximise the value of their data.

Leaners will also have the opportunity to join guest talks on technical updates from leading technology providers like Google Cloud Platform and Databricks.

Empower your team with advanced Python data analysis skills

Elevate your organisation's data analysis capabilities with our targeted course designed for teams seeking to capture the full power of Python and Pandas. This course teaches participants to transform, manipulate and visualise data using Python, so it can be used as an effective asset for decision making.

Python comes with a rich ecosystem allowing teams to use numerous, free tools and methods already implemented. Besides being an efficient way to manipulate data, Python has the advantage of enabling best practice in terms of reusability — by writing code once and running the same analysis multiple times or reusing code across projects, ensuring consistency of analysis.

Participants in this course will explore the world of Python programming for analysing and visualising data. With a strong focus on practical application, your team will be prepared to confront and solve real-world data challenges, turning complex datasets into valuable insights that drive business success.

Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Jonathan Wagstaff
Data apprenticeships enable myself and my team to keep up-to-date with the latest.

Suitability

This course is designed for

Anyone who wants to grow their data analysis skills in Python – from importing data, to data cleaning and transformation, to producing data visualisations.

Prerequisites for this course

Participants don’t need to have any prior coding experience — in Python or otherwise — to join this course. 

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What makes our programme special

Our courses are delivered entirely online through EDUKATE.AI, our cloud-based learning platform. This format ensures your team can enhance their skills without disrupting their daily responsibilities. EDUKATE.AI offers a dynamic sandbox environment for practical skill application, complete with immediate feedback on assignments that mirror real industry challenges. We prioritise a holistic learning experience, combining hands-on practice, expert guidance, and community support to set the standard for online professional development.

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Real-World Practice for Accelerated Impact

EDUKATE.AI provides a sandbox environment where participants can practice new skills on real assignments. This accelerates the impact they can make in your team, allowing them to immediately apply what they've learned.
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EDUKATE.AI

Our online learning platform gives participants a seamless learning experience with in-browser access to course slides, workshop recordings, quizzes and practical assignments. Immediate feedback helps them gauge their progress effectively.
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Expert Curriculum

Our curriculum develops the skills to thrive in a data-driven team. Participants will learn the latest concepts and tools essential to analysing data to obtain actionable insights.
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Flexible Fully Online Learning

Our programme is fully online, giving maximum flexibility for participants and their employers alike. Participants can access their content from anywhere, with no set up or installation of EDUKATE.AI required.
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Community

Joining our programme means becoming part of a thriving community of thousands of data professionals. Participants are given the opportunity to tap into this rich network of peers and alumni and benefit from the expertise and experience of others in the field.
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A real-world learning experience

EDUKATE.ai is our learning experience platform which delivers a seamless experience in one place, and accelerates learning and impact through real practice on real projects with immediate personalised feedback on code.
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The Curriculum

Our curriculum is developed by our leading faculty, composed of data scientists in leading industry positions and academics from some of the top universities in the world.

We take a modular approach to how we offer our curriculum. This course includes all of the below modules with each module being a mix of e-learning content, such as Jupyter notebooks and instructional videos, as well as live workshops.

We continuously update the modules and reiterate to incorporate the latest, in-demand skills for competitive industry.

Core Modules

This module introduces participants to Python's syntax and data structures, alongside Pandas, a key tool you can leverage for data manipulation and analysis.

Topics covered include:
  • Introduction to Python: Python syntax and data structures
  • The Data Analytics Lifecycle
  • Introduction to Pandas
Number of workshops: 4
Number of assignments: 4

Participants dive deeper into Python and explore both essential programming concepts like functions and methods, and various data processing capabilities in Pandas.

Topics covered include:
  • Python functions and methods
  • Data Processing and Cleaning in Pandas
Number of workshops: 4
Number of assignments: 4

Participants learn to create impactful charts and visuals — a must-have skill in any data practitioner’s toolkit — with tools like Matplotlib, Seaborn, Bokeh, and Panel.

Topics covered include:
  • Introduction to Data Visualisation in Python
  • Interactive data visualisation with Bokeh and Panel
Number of workshops: 4
Number of assignments: 3

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Book the cohort that suits your team

Upcoming Cohort Dates Duration Schedule Booking
Start: 15th May 2024
End: 17th July 2024
 10 half-day workshops over 10 weeks
Wednesdays
2:00pm - 5:30pm
Start: 18th September 2024
End: 27th November 2024
10 half-day workshops over 10 weeks
Wednesdays
9:30am - 1:00pm
 

FAQs

What support will my team have access to throughout the course?

Apart from instructor guidance within the workshops themselves, participants benefit from peer interaction and support within the online learning platform EDUKATE.AI. They can also benefit from a one-on-one call with a trainer/mentor to guide the next steps of their upskilling journey after completing the course.

How will participants learn?

We take a blended approach to delivering our curriculum, which means participants learn through a combination of live, instructor-led interactive workshops, and self-led practical assignments where they get to put the concepts that they learned to practice.

Is this course eligible for public funding?

No, this course is instead funded directly by the learners themselves or their employers.

In funding the course directly, your team benefits from a curriculum designed with specific learning outcomes achieved over a shorter learning period and without the restrictions attached to some publicly funded options.

Please consider our longer Apprenticeships or Skills Bootcamps if you're interested in government-funded programmes.

How long does the course take to complete?

The course includes 35 hours of live workshops spread over 10 sessions, with one session per week for 10 weeks.

What if participants are unable to attend one or more live sessions?

Participants are free to attend the live sessions at will. Recordings will be available on the learning platform EDUKATE to access throughout the course. But we highly recommend attending all live sessions to get the most out of the course.

Are there technology requirements for participation in this course?

Participants will need  a web browser on their computer to access our learning platform, EDUKATE.AI, which hosts all our content. They will not need to install any software on their computer.
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Enquire now

Fill out the following form and we’ll contact you within one business day to discuss and answer any questions you have about the programme. We look forward to speaking with you.

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