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Ellen Merryweather - 2022-09-01
Big thinkers, bold movers, and boundary breakers are in high demand in the United Kingdom! The UK is full of opportunities for tech talent across the board. Digital jobs and skills are underpinning the growth of the UK's thriving tech sector, which in turn is creating high-productivity jobs at scale.
Ellen Merryweather - 2022-07-06
You’re reading an exclusive preview of our latest whitepaper: Life After The Great Resignation: The UK Guide on How to Retrain in Tech.
Ellen Merryweather - 2022-11-16
If you're thinking of starting your new life as a Digital Nomad, we've made a new book for you! In partnership with Tropicfeel (the experts in gearing up for adventure), we're excited to bring you...
Diana Blaum - 2021-09-06
Ruth and Anäis met at Ironhack learning UX/UI, with completely different backgrounds they team up together to deliver an awesome final project that made them win the Hackshow. Ruth is British and has never been in touch with the tech industry while Anaïs comes from France and has previous experience working in the tech industry. Let's take a look at their stories!
Diana Blaum - 2021-08-23
Meet Vincent, who started his career at Google in the Sales department and switched to business analytics successfully. Read the interview to learn more about his transition and the learnings he made on that way.
Ironhack - 2021-08-12
The best tools to learn as a data analyst depend partly on the role you are in and the needs of the business. Different companies will have different requirements and may work with an internal or external set of tools. Some data analysis tools are used for tasks such as executing algorithms, visualising data and results, while others may be designed for preparing data for analysis, assessing results or for developing hypotheses or predictions. Data analysis tools can also be used to automate tedious tasks, providing data analysts with more time for actual analysis. There are a few key tools that are used in data analysis, however. These include SQL, Python, Git and data management tools such as R, SAS and SPSS.
Diana Blaum - 2021-08-12
Come and meet Leonard Philippe-Perron who completed the UX/UI Bootcamp at Ironhack Remote. We spoke to him about his Ironhack experience and incredible final project.
Ironhack - 2021-08-10
Organising data is essential when it comes to data analysis, and this process is called data manipulation. It is a crucial step in data analytics. Whether you need to represent information using a graph, combine multiple datasets, create a pivot table or change an Excel file to a CSV file, Pandas is the best Python library for the task. The Pandas library was written specifically for the Python programming languages, and aside from creating graphs, it lets you arrange data and perform other functions. These include merging data sets, reading records, grouping data and organising information in a way that best supports the analysis required. It is a straightforward, accessible and versatile library that is suitable for new and experienced developers alike.
Ironhack - 2021-08-09
If Figma needed a cheering squad, we would totally sign up for it. We love Figma, really we do, and we are pretty sure you will too! Sharing Figma with you kind of feels like when you've watched a complete series and tell your friends about it, and they have never heard of it before, and you are excited for them to go through the experience but also kind of jealous (only a little) that they get to relive it from scratch. So yeah, we really are excited for you. It's going to change the way you build, prototype, share, collaborate and more.