Improve Employee Engagement and Satisfaction Using HR Data
Did you know that highly engaged employees are 87% less likely to leave their employer? So you’ve mastered your hiring...
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Using HR Data Analytics to Promote Diversity and Inclusion
Since 2014, McKinsey have released a series of reports that explore the importance of diversity and inclusivity in the...
How Data Analytics in Healthcare is Improving NHS Wait Times
According to the British Social Attitudes Survey held in 2022, the most common reason why people were dissatisfied with...
How Data Analytics in Healthcare is Revolutionising Medical Service
Data analysis is booming in every industry. But one of the most significant industries where it’s helping to make huge...
7 Benefits of Data Analytics in Higher Education
Higher education institutions are facing many challenges today, including decreasing enrollment rates, declining...
Should You Become a Digital Business Analyst?
Did you know that 98% of businesses see digital transformation as an important part of their future business strategy? ...
Traditional Business Analysts vs. Digital Business Analysts
According to UK salaries data from Glassdoor, the average traditional business analyst earns 8% less than the average,...
ML and AI Skills Key to Unlocking $1 Trillion in Financial Services Industry
Machine learning and deep learning have recently taken centre stage in industries like healthcare, retail, banking,...
3 Ways to Source Exceptional Data Engineering Talent
In our recent article The Hidden Costs of Poor Data Quality, we discussed what leads to poor quality data and the...
5 Sectors Where BAs are Essential for Digital Transformation Projects
The first step in a digital transformation project across any industry is to first ensure there’s a thorough...
World Summit AI - Worth the Hype?
Every October in Amsterdam, World Summit AI, the largest and most influential AI event in the world brings together the...
The Hidden Costs of Poor Data Quality
“D&A leaders must take pragmatic and targeted actions to improve their enterprise data quality if they want to...
The Role of the Business Analyst in Digital Transformation
When it comes to running a business, the only constant is change. Whether you're looking to expand your client base,...
The Race to Upskill the Retail Sector in Data Science
The digital skills gap is well documented and is being felt across industries - retail included. Organisations are...
The Difference Between a Data Analyst and a Data Engineer
In a world where ever-growing sources of business data become increasingly critical to maintaining competitive...
The Top 5 Topics for Professionals Looking to Upskill in Data and AI
The breadth of skills required to deliver end-to-end data science projects are complex and constantly evolving. Data...
How to Accelerate Your Career with a Digital Business Analyst Apprenticeship
Are you a business analyst looking for ways to take your organisation’s digital transformation journey to the next...
Introducing our new Data Engineer Apprenticeship
We are delighted to announce the launch of our brand new Level 4 Data Engineer Apprenticeship!
Cambridge Spark partner with Capita to launch new Data Citizen Bootcamp
Cambridge Spark is delighted to be working with Capita on their Data Citizen bootcamp designed for people inspired to...
Cambridge Spark partners with City of London to deliver Data Skills Bootcamp
Cambridge Spark is delighted to be working in partnership with the City of London Corporation to deliver a programme of...
Bridging the Data Skills Gap: the Talent Senior Stakeholders are Looking For
Last year, in a government research report carried out to quantify the UK’s data skills gap, the introduction stated...
5 Reasons Business Analysts Should Learn Data Skills
Are you a business analyst who is looking to future-proof your career development? Or maybe you're looking for ways to...
The Difference Between a Business Analyst and a Data Analyst
Data is knowledge, and knowledge is power - but only if you know how to harness it. The most successful organisations...
Data Analysts vs Data Scientists - What's the difference?
Data Science and AI technologies are already having a major impact on business and society — from early and accurate...
5 Business Benefits of Data Analyst Apprenticeships
Your business is producing incredible amounts of data on a daily basis: about customers, user experience, web traffic,...
Data Analysts: Who are they and What do they do?
In the last decade, there’s been a massive surge in the adoption of data analytics to transform and optimise business...
Why Economists should embrace Data Science
Economists can make great data scientists and complement the skillsets of Data Scientists who have other backgrounds. I...
Studying Data Science via an apprenticeship
So, you want to upskill in Data Science. Great! The question is, what’s the best way to go about doing that? Whether...
How data analysts are adding value to businesses in every sector
Data analysts are in high demand across all sectors as more and more businesses are working to harness their data to...
Python vs Excel for Data Analysis
Excel has been a firm favourite for working professionals for many years and for good reason. Its wide capabilities and...
Introducing our new Data Analysis Foundation Certificate
We are thrilled to announce that we have added a brand-new offering to our suite of short-form commercial training...
Introducing our new Digital Business Analyst Apprenticeship
We are excited to announce the launch of our brand new Level 4 Digital Business Analyst Apprenticeship!
Cambridge Spark launch first cohort of the NHS Data Citizen Apprenticeship
Cambridge Spark and the NHS Leadership Academy are working in partnership to deliver the first cohort of the NHS Data...
MasterStart and Cambridge Spark partner to expand data science education offering
South African edtech MasterStart and UK-based Cambridge Spark have launched a partnership that will provide...
Why develop Data Science & AI strategic capability in your organisation?
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains how to build capability that...
Apprenticeships: future proofing the workforce and promoting diversity in data science & AI
The world of work is changing fast. Data is the new currency and language, and it's everywhere. Yet many organisations...
The Year of MLOps
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains what MLOps is and why it is crucial...
5 data science skills your business needs - and how to get them
Data science can add enormous value to any business. It’s not just relevant for data-driven departments and roles, but...
The benefits of 'learning by doing' in data science training
Many companies are choosing to build their data science capabilities from within, by upskilling their existing staff....
6 benefits of virtual learning for data science training
It’s an exciting time for people working in data science. Around 90% of the world’s data has been generated over the...
Top 10 FAQ's Employers have About the Data Analyst Apprenticeship
The Apprenticeship Levy is making it easier for companies to upskill their employees with the tools and knowledge to...
Choosing a Data Analyst Apprenticeship Training Provider: 7 Tips for Employers
Upskilling your team with a Data Analyst Apprenticeship can help you build the internal capabilities your company needs...
Predicting Diabetes Progression Based on BMI, Using Linear Regression
In this tutorial, we will consider a very simple linear regression model, which is the backbone of several time series...
The Apprenticeship Levy: helping companies fill the digital skills gap
The digital skills gap is being felt by businesses in every sector. 75% of UK executives are experiencing challenges in...
Word Embeddings in Python with Spacy and Gensim
Word embeddings are vector representations of words, which can then be used to train models for machine learning.
Neural Networks in Python: From Sklearn to PyTorch and Probabilistic Neural Networks
This tutorial covers different concepts related to neural networks with Sklearn and PyTorch. Neural networks have...
Introduction to Text Classification
In this tutorial, we will explore a basic workflow to train and evaluate a model to classify text. Note that there are...
Implementing your own recommender systems in Python
Nowadays, recommender systems are used to personalize your experience on the web, telling you what to buy, where to eat...
Apprenticeship Series: The Age of Apprenticeships
So far this blog has been based on my perspective, so I asked my colleagues from a range of training programmes, to...
Data Processing with Pandas Dataframe
The purpose of this tutorial is to teach you how to process data with Pandas DataFrame.
Apprenticeship Series: Fear of the Unknown
Welcome to October, the month of Halloween and all things scary. Something that has been worrying me recently is the...
An introduction to Uber’s new CoordConv architecture and its applications.
In 2018, Uber AI Labs developed a new layer for the deep learning practitioner: CoordConv. This concept was explained...
Apprenticeships Series: Why Trust Training Providers?
Welcome to my third blog on all things apprenticeships. This month will discuss why should employers trust...
Applied Data Science Bootcamp Graduation, London - 14th September 2019
Saturday 14th September 2019 marked a special day for a group of individuals who have embarked on a six-month journey,...
Apprenticeship Series: Fired Up About Diversity
Welcome to my second blog on all things apprenticeships. This month I’m burning to get you fired up and to spark some...
My Summer Internship at Cambridge Spark
Olivia competed against hundreds of applicants to land a 12-week Data Science internship within the technical team at...
Data Science: MSc or Bootcamp
This article might help you decide your next career choice. If you're unsure whether to do a Masters in Data Science or...
Six Free E-Books: Introductions to Python and Data Science
Take a look at the books we’ve chosen to help you develop and let us know what you think, or even if you’d like to see...
Meet Matt: Our New Digital Marketing Analyst
Matt joined Cambridge Spark's commercial team in Cambridge to work on the digital marketing strategy for the business,...
Fast-track to Data Science
An interview with Applied Data Science Bootcamp graduate, Amanda Borg, on her journey of landing a new job as an...
Apprenticeship Series: Apprenticeships, Degrees & Politics
This is the first instalment to the Apprenticeship Series, which aims to provide updates and insights into changes...
Utilising Data Science in Finance
An interview with Applied Data Scientist Bootcamp graduate, Damien Yahi, on his experience with Cambridge Spark and how...
Upskilling yourself as a Data Scientist
An interview with Applied Data Science Bootcamp graduate, Paulina Figol, on her journey of upskilling herself as a Data...
Meet Elisa: Our New Account Executive
Elisa joined Cambridge Spark's commercial team in Cambridge to help our students and those interested in data science...
Leveraging Data Science in Luxury eCommerce
An interview with Applied Data Science Bootcamp Alumnus and Senior Customer Insight Analyst, Andonis Pavlidis.
Brexit and Data Science
What can we make of the indicative votes in parliament? If you're following the Brexit process (who isn't in the UK!),...
An Introduction to Plotting
Introduction I'm a teaching assistant for several MSc courses, covering natural language processing, natural language...
6 Essential Tools for Data Science
Thanks to the incredibly active Data Science community, open source tools and libraries have become more trusted,...
Meet Tony: Our New Commercial Manager
Cambridge Spark is changing the way people learn Data Science and Software Engineering, and we're hiring driven and...
Introducing Students to Careers in Data Science and Engineering
On the 24th November, we welcomed students from various universities based within the UK to our ‘Machine Learning in...
Writing Impactful CV’s for Data Science roles
Your CV is often the first impression employers get of you. As with face-to-face meetings, impressions are created...
Applying Data Science to the Telecoms Industry
An interview with Matt Roberts, Strategic Analytics Manager at GiffGaff and Applied Data Science Online Bootcamp...
Bringing Deep Learning and Natural Language Processing to Software Development
We spoke with Daniel Palma, Product Owner at Ocado Technologies, to talk about his experience of the six-month...
From Data Analyst to Data Scientist
Helping individuals upskill and become more employable is at the heart of what we do. Our part-time, Applied Data...
Learning Data Science as a Software Engineer
Sunny is a senior software engineer working in the energy sector. He completed the Applied Data Science Bootcamp to...
Data Science Interviews: FiveAI on Hiring
This interview forms the first part of an ongoing series which will provide insight into the Data Science sphere,...
Data Science Interviews: causaLens on Hiring
An interview with Maksim Sipos, CTO at causaLens This interview forms the second part of our ongoing ‘Data Science...
Deploying a machine learning model to the web
Data scientists often have to communicate results to other people. In my case, my supervisors might want to see some...
Collecting web data without an API
In this tutorial, we’ll show you how to extract data from Wikipedia pages. If you’ve ever gone through an online...
A brief overview of big data machine learning and feature selection
I am sure that lately all of you have been hearing a lot about Machine Learning and I guess if you are here, you are...
EDA and interactive figures with Plotly
A crucial step of any machine learning attempt is getting a good impression of your dataset. Exploratory data analysis...
Quick Panda tricks every Data Scientist should know
If you are new to the world of data science, Python's Pandas libraries are some of the best tools for quick data...
Getting started with regression and decision trees
Regression analysis is one of the approaches in the Machine Learning toolbox. It is widely used in many fields but its...
From simple regression to multiple regression with decision trees
In the previous post, Getting Started with Regression and Decision Trees, you learned how to use decision trees to...
Implementing your own knearest neighbour algorithm using python
In machine learning, you may often wish to build predictors that allows to classify things into categories based on...
From Web Technical Lead to Data Science
An interview with Applied Data Science Bootcamp graduate, Sanjay Hallan, on his journey of landing a Data Science role...
10 Things you’ve wondered about Data Science — FAQ #1.
As companies embrace the need to become “data-driven,” career opportunities in data science are increasingly available....
Acing the Data Science Interview: HR & competency interviews
This opinion post forms the second of our three part series ‘The Data Science Interview’ series, focusing on preparing...
Acing the Data Science interview: preparation and tests
This opinion post forms one of three parts of the ‘Data Science Interview series, focusing on preparing for an...
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