Accelerated Data Analyst Bootcamp

Skills around collecting, sorting and analysing data have never been in greater demand. A 2021 paper from the UK government estimated that 48% of businesses were recruiting for roles that require hard data skills but 46% had struggled to recruit for these roles over the last 2 years.

Whether you're an individual hoping to elevate your analytics skills or a team leader struggling to source the requisite analytics skills for your organisation, skills bootcamps can unlock new and rewarding career opportunities, as well as drive real business impact in a matter of mere weeks.

Cambridge Spark's Accelerated Data Analyst Bootcamp is an 8-week, expert-taught course in Python, SQL and more designed to give learners mastery over analysing datasets and generating valuable insights.

Application deadline: 2nd of June

Programme cost: £2,450 +VAT

This programme is ideal for:

•  Individuals who are already comfortable using tools like spreadsheets and want to take their analytics skills to the next level with Python
• Organisations with a need for higher-level analytics skills and looking to cultivate that skillset from within, rather than looking to hire new talent externally

This programme will cover:

• Sorting and processing data using programming languages like Python, SQL and Pandas
• Data visualisation and reporting in tools like Power BI and Tableau
• Drawing from and communicating key insights with data
• And much more

How is this programme delivered?

We deliver our full curriculum online to give learners the flexibility to participate from anywhere and at their own pace. A mix of experiential learning, coaching, technical mentorship and peer support help them gain confidence in data skills and quickly apply them in practice.

As a learner, you'll benefit from the following to aid you in your learning journey:

• Expert lectures and instruction from world-class faculty
• Immediate feedback on exercises through our EDUKATE.AI data learning platform
• Engagement and support from peers through our online Knowledge Base forum

Programme schedule

The schedule (subject to minor changes) for each of the 8 weeks will follow the below structure with approximately 8-12 hours of study time per week beginning on Tuesday 6th of June at 6:30pm.