What we're about

Cambridge Spark is a learning community for developers and data scientists.

We provide a platform to help individuals become more employable and relevant. With a focus on teaching in-demand skills aligned with industry requirements and cutting-edge techniques in data science and software development.

Through intensive Bootcamps and free community events, you will learn in-demand new skills, connect with leading experts, and get involved with a dynamic community of like-minded individuals.

www.cambridgespark.com (http://www.cambridgespark.com/)

Interested in our events across the UK? Join our communities (https://www.meetup.com/pro/cambridge-spark/)in Oxford, London, Cambridge, Manchester and Bristol!

Upcoming events (2)

Data Engineering Festival London


HSBC and Cambridge Spark invite Data Engineers, Developers with experience of working with databases and large scale data pipelines, and Data Science practitioners to the Data Engineering Festival at HSBC’s Canary Wharf head office. ✓ Be inspired by talks on cutting edge Data Engineering topics ✓ Learn from practical insights in Spark and Data pipeline tuning ✓ Network with fellow data engineers, Data Science Practitioners, as well as HSBC leaders and engineers ✓ Learn about exclusive opportunities in Data engineering for the Finance sector ✓ Participate in lively discussions and debates, with real-world takeaways to help you in your job Topics covered include: - Spark Tuning - Docker & Kubernetes - Data Pipeline Optimisation When and where: - Saturday 21st September 2019 - Canada Square, Canary Wharf, London LIMITED SPACES AVAILABLE, APPLY FOR YOUR PLACE HERE NOW: https://cambridgespark.com/data-engineering-festival-2019/

PyData Cambridge 2019

Anglia Ruskin University

PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization. Ticket costs will support the PyData Community through donations to NumFOCUS, a non-profit public charity promoting and supporting the ongoing research and development of open-source scientific data tools through educational, community and public channels. Proceeds will go towards programs such as project fiscal sponsorship, Diversity and Inclusion in Scientific Computing (DISC) initiatives, project grants, and scholarships. Find out more information about NumFOCUS here: http://www.numfocus.org/ Visit the official conference website here to learn more and purchase tickets: https://cambridgespark.com/pydata-cambridge-2019 Interested in Sponsoring? Contact us at: [masked] ------------------------------------------------------------------- FAQs How long is early-bird pricing available for? Early-bird pricing is available up until the 31st June 2019. Can I be provided a VAT invoice for my ticket? Yes, please email contact@cambridgespark to request an invoice and include the "Bill To" information and any additional information you would like included on the invoice. Do I need to bring my laptop? Yes, we recommend all attendees bring a laptop to the event. Are there ID or minimum age requirements to enter the event? While an ID is not required, we ask that you have one available in case there are any questions about your registration. Attendees under age 14 must be accompanied by an adult. What's the refund policy? Full refunds are available when cancellation is made prior to 7 days before the start of the event. Within 7 days of the start of the event, cancellations will be refunded at 50%. No refunds will be available for any cancellations made on or after the start date of the event. Is my registration fee or ticket transferrable? Yes, registrations are transferable. To transfer your ticket, please email [masked] with the name and contact information of the original ticket-holder and the person to whom the ticket will be transferred. No transfers will be accepted after 11 July 2019.

Past events (4)

Manchester Data Science Summit

Manchester museum of science and industry

Photos (5)