In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains how to build capability that supports the Data Science and AI strategy of an organisation. Read more
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains what MLOps is and why it is crucial for delivering successful Data Science and AI projects. Read more
Over the last decade, skills in data science and AI have become increasingly valuable for organisations of all sizes and across all sectors. But across the UK, there isn’t enough talent to meet the rising demand; Read more
Data analysts are in high demand across all sectors as more and more businesses are working to harness their data to provide actionable insights. In this blog post, we take a look at the role and value of a data analyst, and how they can benefit businesses in a wide range of sectors. Read more
Data science can add enormous value to any business. It’s not just relevant for data-driven departments and roles, but is useful across a range of functions including marketing, logistics, and banking. Read more
Many companies are choosing to build their data science capabilities from within, by upskilling their existing staff. But with so many data science training programmes available, how do you choose the right one for your team? When choosing a data science training programme, it's important to ... Read more
GSK is a science-led global healthcare company that researches, develops and manufactures innovative pharmaceutical medicines, vaccines and consumer healthcare products. Read more
Your business alone is producing incredible amounts of data on a daily basis: about customers, user experience, web traffic, marketing effectiveness, and more. Read more
It’s an exciting time for people working in data science. Around 90% of the world’s data has been generated over the past couple of years. Read more
The Apprenticeship Levy is making it easier for companies to upskill their employees with the tools and knowledge to succeed in today’s market. With a Data Analyst Apprenticeship (Level 4), your staff will learn how to collect, manage and analyse data to provide actionable insights for your ... Read more
Upskilling your team with a Data Analyst Apprenticeship can help you build the internal capabilities your company needs to succeed both now and in the future. But choosing an apprenticeship training provider can be a complex task. Read more
The digital skills gap is being felt by businesses in every sector. 75% of UK executives are experiencing challenges in recruiting the digital skills they need. And IBM predicts that in 2020, data science will account for 28% of all digital jobs, but that many of these places will remain unfilled ... Read more
Machine learning (ML) has quickly become an integral part of the financial sector, allowing forward-thinking executives to get an edge on the market. An article by Towards Data Science stated that 46% of large FinTechs and 30% of large financial institutions identified AI as the most relevant ... Read more
So far this blog has been based on my perspective, so I asked my colleagues from a range of training programmes, to share the number one question they’re asked about apprenticeships. Unanimously, they replied: Read more
Learn how Cambridge Spark helped the BBC data science teams embed best practice into their daily routines when they set out to change their software engineering landscape, in order to increase audience engagement, through targeting them with more relevant content. Read more
Welcome to October, the month of Halloween and all things scary. Something that has been worrying me recently is the confusion that remains about what apprenticeships are. It’s been more than two years since the levy became effective and levy-paying organisations still have concerning knowledge ... Read more
In 2018, Uber AI Labs developed a new layer for the deep learning practitioner: CoordConv. This concept was explained and tested in their paper and a simpler summary was also provided in the form of a blog post. Read more
Excel has been a firm favourite for working professionals for many years and for good reason. It has a large number of capabilities and its ease of use has meant that it’s played a critical role in all manners of business, education, finance and research. Read more
Welcome to my third blog on all things apprenticeships. This month will discuss why should employers trust apprenticeship providers when one in four businesses are unhappy with their provider. Read more
In the last decade, there’s been a massive surge in the adoption of analytics to transform and optimise business processes and that trend is not going away. Read more
Welcome to my second blog on all things apprenticeships. This month I’m burning to get you fired up and to spark some discussion around another hot topic in apprenticeships: their image problem. Read more
Olivia competed against hundreds of applicants to land a 12-week Data Science internship within the technical team at our London office, working on our AI-powered learning and development platform, K.A.T.E.®. Read more
This article might help you decide your next career choice. If you're unsure whether to do a Masters in Data Science or a Data Science Bootcamp, then this article will help give you some insight into the options available. Read more
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 more posts like this! We’d love to hear from you. Read more
Matt joined Cambridge Spark's commercial team in Cambridge to work on the digital marketing strategy for the business, including social media management and content curation. Read more
This is the first instalment to the Apprenticeship Series, which aims to provide updates and insights into changes within the field of apprenticeships. Read more
ING provides banking and financial services which empower people to stay ahead in life and in business. That means staying on the cutting edge themselves. Read more
Elisa joined Cambridge Spark's commercial team in Cambridge to help our students and those interested in data science realise their dreams by helping them get started on our Applied Data Science and Introduction to Python bootcamps. Read more
What can we make of the indicative votes in parliament? If you're following the Brexit process (who isn't in the UK!), you might be aware that MPs held indicative votes on the 27th of March, to vote on which steps they could stand behind for Brexit. Read more
Thanks to the incredibly active Data Science community, open source tools and libraries have become more trusted, reliable and scalable. Read more
Cambridge Spark is changing the way people learn Data Science and Software Engineering, and we're hiring driven and passionate talent to join us as we look to grow. Read more
On the 24th November, we welcomed students from various universities based within the UK to our ‘Machine Learning in Finance: Time Series forecasting in Python’ workshop, enabling students to learn from experts about applying Data Science techniques to real-world data — specifically focusing on ... Read more
Candidate assessment is a key component in every talent strategy. They are designed to provide a way in which to measure performance and qualify candidates to perform a role. Read more
"At Cambridge Spark, you have really exceptional trainers who are specialists in the field. We can definitely trust your team and your expertise." Read more
Are you looking to build a data science team? This short guide walks through how EDF Energy approached this goal and built Data Science capability within their Sales & Marketing team using in-house training delivered by Cambridge Spark. Read more
Data Science and AI technologies are already having a major impact on business and society — from early and accurate diagnosis of medical problems, to building cost-effective operations, providing more accurate fraud detection and self-driving cars. Read more
The retail sector is adopting Data Science techniques to reduce costs, improve decision making and explore ways to do more with data. Use cases include: Read more
Economists can make great data scientists and complement the skillsets of Data Scientists who have other backgrounds. I have a background in economics but branched out my skillset into Data Science more recently. Economics and Data Science actually have a lot in common. Read more
Your CV is often the first impression employers get of you. As with face-to-face meetings, impressions are created almost instantly, and you need show your relevance immediately. Read more
In academia, new applications of Machine Learning are emerging that improve the accuracy and efficiency of processes, and open the way for disruptive data-driven solutions. For example, the implementation of Data Science in Biomedicine is helping to accelerate patient diagnoses and create ... Read more
An interview with Matt Roberts, Strategic Analytics Manager at GiffGaff and Applied Data Science Online Bootcamp alumnus. Read more
This interview forms the first part of an ongoing series which will provide insight into the Data Science sphere, including how diverse cross-industry roles are, applications of Data Science across different sectors and more insight into the hiring process to facilitate aspiring Data Scientists ... Read more
An interview with Maksim Sipos, CTO at causaLens This interview forms the second part of our ongoing ‘Data Science interviews’ series, providing more insight into hiring in the Data Science sphere to empower our community to get the roles they aspire for. Read more
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 curious to find out what it is. I will attempt to give you a very brief and modest overview of my view on Machine Learning. Read more
In the previous post on simple Regression Analysis you learned how to use Decision Trees to create a regression model for predicting the number of bikes hired in a bike sharing scheme. You used the average temperature of a day to make the predictions. Now you will extend the model by also including ... Read more
As companies embrace the need to become “data-driven,” career opportunities in data science are increasingly available. It is an exciting and ever-evolving field, and data science skills are transferable across a range of sectors — so how can you get involved? Read more
This opinion post forms the second of our three part series ‘The Data Science Interview’ series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius. Read more
This opinion post forms one of three parts of the ‘Data Science Interview series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius. So, you’ve gotten yourself an Interview for your first role as a Data ... Read more
This opinion post forms the final part of our three part series ‘the Data Science interview’, written by expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at PeopleGenius. What should I wear to a Data Science interview? My first tip for you: always check the dress code. Attending ... Read more
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains how to build capability that supports the Data Science and AI strategy of an organisation.
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains what MLOps is and why it is crucial for delivering successful Data Science and AI projects.
Over the last decade, skills in data science and AI have become increasingly valuable for organisations of all sizes and across all sectors. But across the UK, there isn’t enough talent to meet the rising demand;
Data analysts are in high demand across all sectors as more and more businesses are working to harness their data to provide actionable insights. In this blog post, we take a look at the role and value of a data analyst, and how they can benefit businesses in a wide range of sectors.
Data science can add enormous value to any business. It’s not just relevant for data-driven departments and roles, but is useful across a range of functions including marketing, logistics, and banking.
Many companies are choosing to build their data science capabilities from within, by upskilling their existing staff. But with so many data science training programmes available, how do you choose the right one for your team? When choosing a data science training programme, it's important to ...
GSK is a science-led global healthcare company that researches, develops and manufactures innovative pharmaceutical medicines, vaccines and consumer healthcare products.
Your business alone is producing incredible amounts of data on a daily basis: about customers, user experience, web traffic, marketing effectiveness, and more.
It’s an exciting time for people working in data science. Around 90% of the world’s data has been generated over the past couple of years.
The Apprenticeship Levy is making it easier for companies to upskill their employees with the tools and knowledge to succeed in today’s market. With a Data Analyst Apprenticeship (Level 4), your staff will learn how to collect, manage and analyse data to provide actionable insights for your ...
Upskilling your team with a Data Analyst Apprenticeship can help you build the internal capabilities your company needs to succeed both now and in the future. But choosing an apprenticeship training provider can be a complex task.
The digital skills gap is being felt by businesses in every sector. 75% of UK executives are experiencing challenges in recruiting the digital skills they need. And IBM predicts that in 2020, data science will account for 28% of all digital jobs, but that many of these places will remain unfilled ...
Machine learning (ML) has quickly become an integral part of the financial sector, allowing forward-thinking executives to get an edge on the market. An article by Towards Data Science stated that 46% of large FinTechs and 30% of large financial institutions identified AI as the most relevant ...
So far this blog has been based on my perspective, so I asked my colleagues from a range of training programmes, to share the number one question they’re asked about apprenticeships. Unanimously, they replied:
Learn how Cambridge Spark helped the BBC data science teams embed best practice into their daily routines when they set out to change their software engineering landscape, in order to increase audience engagement, through targeting them with more relevant content.
Welcome to October, the month of Halloween and all things scary. Something that has been worrying me recently is the confusion that remains about what apprenticeships are. It’s been more than two years since the levy became effective and levy-paying organisations still have concerning knowledge ...
In 2018, Uber AI Labs developed a new layer for the deep learning practitioner: CoordConv. This concept was explained and tested in their paper and a simpler summary was also provided in the form of a blog post.
Excel has been a firm favourite for working professionals for many years and for good reason. It has a large number of capabilities and its ease of use has meant that it’s played a critical role in all manners of business, education, finance and research.
Welcome to my third blog on all things apprenticeships. This month will discuss why should employers trust apprenticeship providers when one in four businesses are unhappy with their provider.
In the last decade, there’s been a massive surge in the adoption of analytics to transform and optimise business processes and that trend is not going away.
Welcome to my second blog on all things apprenticeships. This month I’m burning to get you fired up and to spark some discussion around another hot topic in apprenticeships: their image problem.
Olivia competed against hundreds of applicants to land a 12-week Data Science internship within the technical team at our London office, working on our AI-powered learning and development platform, K.A.T.E.®.
This article might help you decide your next career choice. If you're unsure whether to do a Masters in Data Science or a Data Science Bootcamp, then this article will help give you some insight into the options available.
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 more posts like this! We’d love to hear from you.
Matt joined Cambridge Spark's commercial team in Cambridge to work on the digital marketing strategy for the business, including social media management and content curation.
This is the first instalment to the Apprenticeship Series, which aims to provide updates and insights into changes within the field of apprenticeships.
ING provides banking and financial services which empower people to stay ahead in life and in business. That means staying on the cutting edge themselves.
Elisa joined Cambridge Spark's commercial team in Cambridge to help our students and those interested in data science realise their dreams by helping them get started on our Applied Data Science and Introduction to Python bootcamps.
What can we make of the indicative votes in parliament? If you're following the Brexit process (who isn't in the UK!), you might be aware that MPs held indicative votes on the 27th of March, to vote on which steps they could stand behind for Brexit.
Thanks to the incredibly active Data Science community, open source tools and libraries have become more trusted, reliable and scalable.
Cambridge Spark is changing the way people learn Data Science and Software Engineering, and we're hiring driven and passionate talent to join us as we look to grow.
On the 24th November, we welcomed students from various universities based within the UK to our ‘Machine Learning in Finance: Time Series forecasting in Python’ workshop, enabling students to learn from experts about applying Data Science techniques to real-world data — specifically focusing on ...
Candidate assessment is a key component in every talent strategy. They are designed to provide a way in which to measure performance and qualify candidates to perform a role.
"At Cambridge Spark, you have really exceptional trainers who are specialists in the field. We can definitely trust your team and your expertise."
Are you looking to build a data science team? This short guide walks through how EDF Energy approached this goal and built Data Science capability within their Sales & Marketing team using in-house training delivered by Cambridge Spark.
Data Science and AI technologies are already having a major impact on business and society — from early and accurate diagnosis of medical problems, to building cost-effective operations, providing more accurate fraud detection and self-driving cars.
The retail sector is adopting Data Science techniques to reduce costs, improve decision making and explore ways to do more with data. Use cases include:
Economists can make great data scientists and complement the skillsets of Data Scientists who have other backgrounds. I have a background in economics but branched out my skillset into Data Science more recently. Economics and Data Science actually have a lot in common.
Your CV is often the first impression employers get of you. As with face-to-face meetings, impressions are created almost instantly, and you need show your relevance immediately.
In academia, new applications of Machine Learning are emerging that improve the accuracy and efficiency of processes, and open the way for disruptive data-driven solutions. For example, the implementation of Data Science in Biomedicine is helping to accelerate patient diagnoses and create ...
An interview with Matt Roberts, Strategic Analytics Manager at GiffGaff and Applied Data Science Online Bootcamp alumnus.
This interview forms the first part of an ongoing series which will provide insight into the Data Science sphere, including how diverse cross-industry roles are, applications of Data Science across different sectors and more insight into the hiring process to facilitate aspiring Data Scientists ...
An interview with Maksim Sipos, CTO at causaLens This interview forms the second part of our ongoing ‘Data Science interviews’ series, providing more insight into hiring in the Data Science sphere to empower our community to get the roles they aspire for.
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 curious to find out what it is. I will attempt to give you a very brief and modest overview of my view on Machine Learning.
In the previous post on simple Regression Analysis you learned how to use Decision Trees to create a regression model for predicting the number of bikes hired in a bike sharing scheme. You used the average temperature of a day to make the predictions. Now you will extend the model by also including ...
As companies embrace the need to become “data-driven,” career opportunities in data science are increasingly available. It is an exciting and ever-evolving field, and data science skills are transferable across a range of sectors — so how can you get involved?
This opinion post forms the second of our three part series ‘The Data Science Interview’ series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius.
This opinion post forms one of three parts of the ‘Data Science Interview series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius. So, you’ve gotten yourself an Interview for your first role as a Data ...
This opinion post forms the final part of our three part series ‘the Data Science interview’, written by expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at PeopleGenius. What should I wear to a Data Science interview? My first tip for you: always check the dress code. Attending ...
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains how to build capability that supports the Data Science and AI strategy of an organisation.
In this article, Cambridge Spark's CEO and Founder, Dr Raoul-Gabriel Urma, explains what MLOps is and why it is crucial for delivering successful Data Science and AI projects.
Over the last decade, skills in data science and AI have become increasingly valuable for organisations of all sizes and across all sectors. But across the UK, there isn’t enough talent to meet the rising demand;
Data analysts are in high demand across all sectors as more and more businesses are working to harness their data to provide actionable insights. In this blog post, we take a look at the role and value of a data analyst, and how they can benefit businesses in a wide range of sectors.
Data science can add enormous value to any business. It’s not just relevant for data-driven departments and roles, but is useful across a range of functions including marketing, logistics, and banking.
Many companies are choosing to build their data science capabilities from within, by upskilling their existing staff. But with so many data science training programmes available, how do you choose the right one for your team? When choosing a data science training programme, it's important to ...
GSK is a science-led global healthcare company that researches, develops and manufactures innovative pharmaceutical medicines, vaccines and consumer healthcare products.
Your business alone is producing incredible amounts of data on a daily basis: about customers, user experience, web traffic, marketing effectiveness, and more.
It’s an exciting time for people working in data science. Around 90% of the world’s data has been generated over the past couple of years.
The Apprenticeship Levy is making it easier for companies to upskill their employees with the tools and knowledge to succeed in today’s market. With a Data Analyst Apprenticeship (Level 4), your staff will learn how to collect, manage and analyse data to provide actionable insights for your ...
Upskilling your team with a Data Analyst Apprenticeship can help you build the internal capabilities your company needs to succeed both now and in the future. But choosing an apprenticeship training provider can be a complex task.
The digital skills gap is being felt by businesses in every sector. 75% of UK executives are experiencing challenges in recruiting the digital skills they need. And IBM predicts that in 2020, data science will account for 28% of all digital jobs, but that many of these places will remain unfilled ...
Machine learning (ML) has quickly become an integral part of the financial sector, allowing forward-thinking executives to get an edge on the market. An article by Towards Data Science stated that 46% of large FinTechs and 30% of large financial institutions identified AI as the most relevant ...
So far this blog has been based on my perspective, so I asked my colleagues from a range of training programmes, to share the number one question they’re asked about apprenticeships. Unanimously, they replied:
Learn how Cambridge Spark helped the BBC data science teams embed best practice into their daily routines when they set out to change their software engineering landscape, in order to increase audience engagement, through targeting them with more relevant content.
Welcome to October, the month of Halloween and all things scary. Something that has been worrying me recently is the confusion that remains about what apprenticeships are. It’s been more than two years since the levy became effective and levy-paying organisations still have concerning knowledge ...
In 2018, Uber AI Labs developed a new layer for the deep learning practitioner: CoordConv. This concept was explained and tested in their paper and a simpler summary was also provided in the form of a blog post.
Excel has been a firm favourite for working professionals for many years and for good reason. It has a large number of capabilities and its ease of use has meant that it’s played a critical role in all manners of business, education, finance and research.
Welcome to my third blog on all things apprenticeships. This month will discuss why should employers trust apprenticeship providers when one in four businesses are unhappy with their provider.
In the last decade, there’s been a massive surge in the adoption of analytics to transform and optimise business processes and that trend is not going away.
Welcome to my second blog on all things apprenticeships. This month I’m burning to get you fired up and to spark some discussion around another hot topic in apprenticeships: their image problem.
Olivia competed against hundreds of applicants to land a 12-week Data Science internship within the technical team at our London office, working on our AI-powered learning and development platform, K.A.T.E.®.
This article might help you decide your next career choice. If you're unsure whether to do a Masters in Data Science or a Data Science Bootcamp, then this article will help give you some insight into the options available.
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 more posts like this! We’d love to hear from you.
Matt joined Cambridge Spark's commercial team in Cambridge to work on the digital marketing strategy for the business, including social media management and content curation.
This is the first instalment to the Apprenticeship Series, which aims to provide updates and insights into changes within the field of apprenticeships.
ING provides banking and financial services which empower people to stay ahead in life and in business. That means staying on the cutting edge themselves.
Elisa joined Cambridge Spark's commercial team in Cambridge to help our students and those interested in data science realise their dreams by helping them get started on our Applied Data Science and Introduction to Python bootcamps.
What can we make of the indicative votes in parliament? If you're following the Brexit process (who isn't in the UK!), you might be aware that MPs held indicative votes on the 27th of March, to vote on which steps they could stand behind for Brexit.
Thanks to the incredibly active Data Science community, open source tools and libraries have become more trusted, reliable and scalable.
Cambridge Spark is changing the way people learn Data Science and Software Engineering, and we're hiring driven and passionate talent to join us as we look to grow.
On the 24th November, we welcomed students from various universities based within the UK to our ‘Machine Learning in Finance: Time Series forecasting in Python’ workshop, enabling students to learn from experts about applying Data Science techniques to real-world data — specifically focusing on ...
Candidate assessment is a key component in every talent strategy. They are designed to provide a way in which to measure performance and qualify candidates to perform a role.
"At Cambridge Spark, you have really exceptional trainers who are specialists in the field. We can definitely trust your team and your expertise."
Are you looking to build a data science team? This short guide walks through how EDF Energy approached this goal and built Data Science capability within their Sales & Marketing team using in-house training delivered by Cambridge Spark.
Data Science and AI technologies are already having a major impact on business and society — from early and accurate diagnosis of medical problems, to building cost-effective operations, providing more accurate fraud detection and self-driving cars.
The retail sector is adopting Data Science techniques to reduce costs, improve decision making and explore ways to do more with data. Use cases include:
Economists can make great data scientists and complement the skillsets of Data Scientists who have other backgrounds. I have a background in economics but branched out my skillset into Data Science more recently. Economics and Data Science actually have a lot in common.
Your CV is often the first impression employers get of you. As with face-to-face meetings, impressions are created almost instantly, and you need show your relevance immediately.
In academia, new applications of Machine Learning are emerging that improve the accuracy and efficiency of processes, and open the way for disruptive data-driven solutions. For example, the implementation of Data Science in Biomedicine is helping to accelerate patient diagnoses and create ...
An interview with Matt Roberts, Strategic Analytics Manager at GiffGaff and Applied Data Science Online Bootcamp alumnus.
This interview forms the first part of an ongoing series which will provide insight into the Data Science sphere, including how diverse cross-industry roles are, applications of Data Science across different sectors and more insight into the hiring process to facilitate aspiring Data Scientists ...
An interview with Maksim Sipos, CTO at causaLens This interview forms the second part of our ongoing ‘Data Science interviews’ series, providing more insight into hiring in the Data Science sphere to empower our community to get the roles they aspire for.
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 curious to find out what it is. I will attempt to give you a very brief and modest overview of my view on Machine Learning.
In the previous post on simple Regression Analysis you learned how to use Decision Trees to create a regression model for predicting the number of bikes hired in a bike sharing scheme. You used the average temperature of a day to make the predictions. Now you will extend the model by also including ...
As companies embrace the need to become “data-driven,” career opportunities in data science are increasingly available. It is an exciting and ever-evolving field, and data science skills are transferable across a range of sectors — so how can you get involved?
This opinion post forms the second of our three part series ‘The Data Science Interview’ series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius.
This opinion post forms one of three parts of the ‘Data Science Interview series, focusing on preparing for an interview, written by our expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at People Genius. So, you’ve gotten yourself an Interview for your first role as a Data ...
This opinion post forms the final part of our three part series ‘the Data Science interview’, written by expert guest blogger Dan Holdsworth, Data and Analytics Recruiter at PeopleGenius. What should I wear to a Data Science interview? My first tip for you: always check the dress code. Attending ...
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