Data-Academy

Data Academy

Empower your people with the world's most in-demand skillset.

The Decoded Data Academy embeds cutting-edge data skills at scale across any organisation.

We’ve designed the Data Academy to be deeply integrated into our clients’ organisations.

Since 2018 we’ve built dozens of Data Academy programmes within organisations around the world, and enabled 1000+ learners worldwide to create real-time, commercial impact in their day-to-day work.

Your Data Academy, Powered By Decoded

Your Projects.
Your Data.
Your Tech.

YOUR PROJECTS
We coach learners to apply new data skills to live projects in your business.

YOUR DATA
We embed real-life, live company data into the learning journey

YOUR TECH
We seamlessly integrate our programme within your existing IT infrastructure.

Some of our live data academy programmes

  • Cambridge University Press
  • Unilever
  • Marks and Spencer
  • Vodafone
  • Fidelity International
  • RS Components

Unearth your Data High-Potentials

How many employees in your business have the ability to work with data, but just need to learn the skills?

These are your organisation’s Data High-Potentials. Our admissions process identifies, recruits and fast-tracks them to next-level data skills.

The Learning Experience

Designed by our product team in New York and London and delivered to over 1000+ learners, with a 96%* programme retention rate.

  • Cohorts of 25+

    In-house cohorts of Data High-Potentials, recruited from across your business.

  • 6 months

    With a commitment of 16 hours of learning per month.

  • Blended learning

    In-person workshops, 1-to-1 data science mentoring, self-directed practice & projects.

  • Ongoing assessment

    Continuous measurement, evaluation and reporting on the impact which new data skills are creating in the organisation.

In England, we’re able to run an 18-month version of the programme which can be funded in full by your organisation’s Apprenticeship Levy.

*correct as of January 31 2020

The Curriculum

The programme is underpinned by learners becoming fluent in Python.

This provides the basis for a broad range of analytical techniques, working in a notebook environment (such as Jupyter Notebooks), and curating and orchestrating different data tools, libraries and models to solve problems.

Our full syllabus features 15 modules. These range from unsupervised machine learning techniques such as k-means clustering, through to more predictive techniques such as regression and classification, through to more specialist techniques such as time series and text analysis.

We work with our clients to select six of these modules and create a 26-week pathway, curated for maximum relevance and impact.

Decoded employees smiling to the camera.

Enquire

Learn More.

If you'd like to learn more about Data Academy and how it can transform your organisation, we'd love to hear from you.

Other Products

Digital Leadership

Learn about our Digital Leadership programme, which works alongside the Data Academy to create digitally literate leaders.