Supercharge your data specialists’ toolkits with cutting-edge analysis tools and techniques.
Your data practitioners will become proficient in Python, SQL, Plotly and dashboarding tools, helping them collect, organise and study data to provide valuable business insights.
The Decoded Data Analyst apprenticeship programme has been designed for early to mid-career data specialists who analyse and shape data and are embarking on a data career.
For learners in England, the programme is aligned to the Data analyst Level 4 Apprenticeship Standard and can be funded through your organisation's Apprenticeship Levy.
#1 Tech Integration: We seamlessly integrate our program within your existing IT infrastructure.
#2 Live data: We embed your real-life, live company data into the learning journey, enabling learners to apply their new skills to real-world business challenges.
#3 Real-world projects: We coach learners to apply their skills to live projects in your business which senior leadership have identified as being of strategic importance.
#4 Mentorship: Fusing deep technical knowledge and heightened commercial awareness; our data scientist mentors guide learners on how to apply their new skills to business projects in real-time.
Our admissions process identifies, recruits and fast-tracks your data practitioners and equips them with next-level data skills.
For the Data Analyst programme we help you identify your data users who work with large datasets on a regular basis and who have a requirement to carry out descriptive and predictive analysis in their current role. These will be data users who are looking to move beyond Excel and into tools such as Python.
Designed by our product team in New York and London in partnership with our clients.
Cohorts of 3+
Choose from open cohorts (3+ learners per employer) or closed cohorts (10+ learners per employer).
Data Analyst is a 15 month programme plus End Point Assessment (EPA).
Workshops, 1-to-1 data science mentoring, self-directed practice & projects.
Continuous measurement, evaluation and reporting on the impact which new data skills are creating in the organisation.
Learners will become fluent in a range of advanced data tools, such as Python, Jupyter notebooks, Plotly, pandas and SQL. The programme also addresses the importance of knowledge and behaviours and covers complementary data skills including:
– Requirement-gathering, including stakeholder and domain context requirements
– Inspecting, cleansing, transforming and modelling data with the goal of discovering useful information
– Informing conclusions and supporting decision-making
– Ensuring that data is handled in a compliant, safe and appropriately secure manner
– Working within the data architecture of the company, understanding and adhering to company data policy and legislation
Please contact us for details of the full curriculum.
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