START DATE: MAY 2020
ENROLMENT DEADLINE: 31ST MARCH 2020
KINGS CROSS, LONDON
Why join our Data Analyst Apprenticeship?
Learn Advanced Data Analytics with Python
Become more productive by learning the most popular general purpose programming language. Learn advanced data analytics skills using Python programming, applicable to any industry whether it be Sales, Marketing, Finance, HR, Manufacturing or Business Intelligence etc.
Future-proof your skillset
The Data Analyst Apprenticeship (L4) is an intensive 14-month programme that will equip you with the most industry-relevant programming and data analysis skills – enabling you to perform advanced data analytics on big data and automate tasks using Python.
Funded by the UK Government
Through the UK’s Apprenticeship scheme, training for learners with employers that pay the Apprenticeship Levy is 100% covered by the UK government. Employers that don’t pay the levy only pay 5% of the cost (maximum, £750 per apprentice)
Learn whilst you work
As part of the apprenticeship, you’ll spend 20% of your working hours (the equivalent of 1 day a week) to undertake flexible project-based learning.
You’ll be submitting your work online via our proprietary assessment and development platform, K.A.T.E.®, which will provide you with a work-simulated environment that builds and reinforces production-ready coding skills. You’ll be taught by professionally trained Data Analysts and Data Scientists who are working in industry. Throughout the programme you’ll be able to blend theory with experiential learning for maximum retention.
Looking to upskill your team?
If you’re an employer looking to upskill your team with the Data Analyst Apprenticeship (L4), then click here to go to the apprenticeship employer page
Interested in learning more?
Testimonials
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“The K.A.T.E.® platform forms part of our learning solution for a Data Science upskilling program we run called Data Science Academy. To make these technology solutions most effective, the key consideration for us is the balance between learner experience and scale/automation which the K.A.T.E.® platform delivers on.”
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“K.A.T.E.® helped significantly to make our option pricing competition using Python a big success. We look forward to further engaging with Cambridge Spark on technical talent attraction and assessment utilising this platform.”
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“Cambridge Spark equipped me with the foundations that I needed to perform advanced analytics. This ultimately led to a promotion into a role that I really enjoy.”
Course Information
Why learn with us?
Real-World Simulated Projects with K.A.T.E.®
Instant, personalised feedback 24/7, cloud-based, applied practical experience
Accelerated Programme & Flexible Learning
14 months, blended-learning, flexible-learning, 24/7 feedback with K.A.T.E.®
Expert Designed Curriculum Delivering the Right Skills
Designed by Data Scientists and Data Analysts working in industry, for industry
Teaching & Coaching from Professionals
All of our teachers and mentors work as Data Scientists/Analysts and our coaches are professionally trained
Digital Learning & K.A.T.E.®
Modules will be delivered via our learning management system, and K.A.T.E.® (Knowledge Assessment Teaching Engine), Cambridge Spark’s AI-powered learning and development platform.
K.A.T.E.® provides instant feedback on code quality within an industry-simulated environment so you can effectively benchmark your code. It also provides personalised recommendations to enable you to truly own your development and achieve a steeper rate of learning.
Assessment and Certification
Towards the end of your learning journey, we’ll prepare you to undertake the certification exams and interview to achieve the following:
- Dell EMC Data Science Certification
- BCS Data Analyst (Level 4) Apprenticeship Certificate
- 1-year free membership on the BCS RITTech
Interested in learning more?
If you’re interested in what the Data Analyst Apprenticeship (L4) could do for you, please complete the form to the right of this text and we’ll get back to you within two working days with more information.
Get in touch now
Please complete all of the required fields to get in touch with us. Alternatively, call +44(0)7816 419378 or email contact@cambridgespark.com now
FAQs
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Around 90% of the world data has been generated over the past two years [1]. Today, organisations are sitting on masses of valuable data able to be transformed into actionable insights for leadership, in order to aid growth, maintain market share, and identify the appropriate tactics to attract and retain customers.
This has led to exponential growth in the demand for data analysis and Data Science skills within cross-industry organisations looking to build their internal analytics and Data Science capabilities, with the EU estimating a shortage of 346,000 Data Scientists [2], and IBM reporting data-related roles will account for 28% of all roles by 2020 [3].
The demand for Python programming capabilities has also increased. Python has become a must-have skill for Data Analysts and now is the time to learn. Alex Zhivotov (Data Analyst, TransferWise) commented;“You can be a good Data Analyst without knowing Python but if you want to stand out above the rest, be a star data analyst and progress, then you need to learn Python”.
While Python needs basic programming skills, it has been looked upon as a prerequisite for many quantitative roles. Companies are looking to hire new candidates with Python skills with at least beginner-level proficiency.If you’re still using Microsoft Excel, you may want to look into why Python can be a better alternative for your Data Analysis. [4]The Data Analytics field has witnessed one of the most impressive spikes, in the number of job postings in recent years. A report by The Royal Society found that in 2013, there were roughly 80,000 job listings for Data Analysts. In 2018, the number of job listings was just shy of 120,000, an increase of 43% [5].[1] 2.5 Quintillion bytes of data Created Every day. How does CPG & Retail Manage it?
[2] Data Scientist Jobs: Where does the Big Data Talent gap lie?
[3] The Quant Crunch: how the Demand for Data Science Skills is Disrupting the job Market
[4] Data Analysis: Python vs Excel
[5] Royal Society -
Over the course of the apprenticeship, you’ll learn how to apply the latest Data Analytics tools and technologies, build an aptitude and proficiency portfolio to evidence the skills you’ve learned in various projects you’ll be exposed to throughout the apprenticeship.
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The UK government’s Apprenticeship Levy scheme came into effect in April 2017 as a way to drive investment in strengthening the country’s skills base.
All organisations with staff costs of over £3m have to pay 0.5% of their salary bill into a ring-fenced apprenticeship levy pot. The money is collected monthly via PAYE, but can be clawed back within 24 months and used for training on approved apprenticeship schemes (such as the Data Analyst Apprenticeship (L4)). This means that there is no cost for levy-paying employers to train apprentices.For non-levy paying organisations:
Non-levy paying employers will share the cost of training and assessing their apprentices with government – this is called ‘co-investment’. Employers will pay 5% towards the cost of apprenticeship training. The government will pay the rest (95%) up to the funding band maximum.