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Boost Your Career with Data Analytics

Explore the Data Analyst Apprenticeship (Level 4)

About

Webinar details

Are you eager to break into the dynamic field of data analytics or elevate your existing career?

Watch our Data Analyst Apprenticeship webinar to discover how you can acquire practical, job-ready data skills while earning and learning simultaneously.

Why watch?

Whether you're looking to start a new career or enhance your existing skills, the Level 4 Data Analyst Apprenticeship provides hands-on training in Python, SQL, and data visualisation—essential tools used by industry professionals.

Speaker:

🎙️ Richard Lambden, Director at Cambridge Spark

Agenda:

🚀 Programme Overview: Detailed insights into the Level 4 Data Analyst Apprenticeship curriculum, including core modules like Python programming, data visualisation, and time series analysis.
🔎 Career Impact: Understand the potential career trajectories and opportunities post-completion.
📚 Support Structure: Learn about the continuous support from expert faculty, dedicated mentors, and success coaches throughout the programme.
This webinar was recorded using WebinarGeek.

Watch this webinar if you are:

  • An aspiring data analyst seeking to enter the field.
  • A Professional aiming to upskill and transition into a data-centric roles.
  • A HR or Learning & Development professional seeking to upskill your workforce and empower them with data expertise.

About Apprenticeships

Apprenticeships provide a well-defined route for internal talent development in England*. Apprenticeships are available to both new and existing employees who work 30 hours or more per week. Funded by the Apprenticeship Levy, apprenticeships are a cost-effective way to upskill employees in analytics, data science and AI.

*If not employed in England, apprenticeships can be funded commercially.

 

 

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Elle Neal, Data Scientist at BPA Quality

“Doing the apprenticeship has helped me glue everything together and fill the gaps in the knowledge I had to make me more confident in delivering the data science models I want to create.”