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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...

Data science apprenticeships; learning pathways for upskilling staff

Over the last decade, skills in data science and AI have become increasingly valuable for organisations of all sizes...

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...

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....

5 Business Benefits of Data Analyst Apprenticeships

Your business alone is producing incredible amounts of data on a daily basis: about customers, user experience, web...

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...

Data Analysis: Python vs Excel

Excel has been a firm favourite for working professionals for many years and for good reason. It has a large number of...

The Skills You Need to Become a Data Analyst

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,...

Closing My Skills Gap With Data Science

Data Analysts: Who are they and What do they do?

In the last decade, there’s been a massive surge in the adoption of analytics to transform and optimise business...

Six Data Science Podcasts You Need to Listen to

IMC student events

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...

From Entomologist to Data Scientist

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...

Data Science Interviews: Unipart on Hiring

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 Christina: Our New Account Executive

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.

From Investment Management to Data Science

Meet Judit: Our New Office Manager

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...

Women in Programming

Data Science Interviews: Cytora on Hiring

 

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...

How to Become a Data Scientist (with no Programming Experience)

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...

Why Economists should embrace Data Science

Economists can make great data scientists and complement the skillsets of Data Scientists who have other backgrounds. I...

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...

Build your own Skip-gram Embeddings and use them in a Neural Network

Applying Data Science to the Telecoms Industry

An interview with Matt Roberts, Strategic Analytics Manager at GiffGaff and Applied Data Science Online Bootcamp...

Project Partner Case Study: Entomics

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 Business Analyst to Data Scientist

What do companies look for when hiring Data Science candidates?

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...

Practical Introduction to Recommender Systems

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 on simple Regression Analysis you learned how to use Decision Trees to create a regression model...

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...

Getting started with XGBoost

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...

Acing the Data Science Interview: on the day

This opinion post forms the final part of our three part series ‘the Data Science interview’, written by expert guest...

A Beginners Guide to Kaggle Competitions