What will you get your favourite data scientist this Christmas? If you find it hard to find an awesome gift for a data scientist or statistician you know, we thought we’d help you with a list of gifts any data scientist or geek will appreciate. There are some big presents and also some great stocking fillers so…
The 3 big data ethics books we highlight in this blog post will give you a greater understanding of the ethics of working with data and a glimpse of what our future world may look like – and trust me – it’s going to be scary… Continue Reading
There are lots of Python books for Data Science. Where to start? In this blog post we’re going to give you our pick of the 3 best books about statistical programming in Python for data scientists… Continue Reading
If you’re making the switch to Data Science, you might have come from a programming route or from science. In that case you’re going to need a few books on statistics for Data Science. After all, it would be all too easy to learn a few new skills in data handling and machine learning and neglect statistics. Traditionally…
Let’s say you have collected your data and have a nice, clean dataset. You’re ready to start doing your analysis. Hold on there cowboy, not so fast. You wouldn’t start building your house without putting the foundations in place, would you? The last thing you need is for all your hard work to come crashing down because…
If you’ve been following our blog for a while you’ll know that every month we produce a blog post where we showcase and review 3 FREE Data Science eBooks that we’ve found out there on the web. We’ve been doing this for quite a long time now and we’ve built up a sizeable collection of links…
Ever heard the Latin expression Post Hoc, Ergo Propter Hoc, meaning ‘After this, therefore because of this’? It is the basis of the saying ‘Correlation Is Not Causation’, also known in statistics as the Post Hoc Fallacy because it’s a very familiar trap that we all fall into from time to time. This is the idea…
If you’ve been following our blog for a while you’ll know that every month we produce a blog post where we showcase and review 3 FREE Data Science eBooks that we’ve found out there on the web. We’ve been doing this for quite a long time now and we’ve built up a sizeable collection of links…
In this blog post we’re going to introduce you to 21 of the most inspiring books to help you get started in Data Science. These books are categorised by statistics, Machine Learning, R, Python, data visualisation and data ethics so that you can choose books from each category and you don’t miss a thing! Continue Reading
Artificial Intelligence, Machine Learning and Deep Learning are all the rage in the press these days, and if you want to be a good Data Scientist you’re going to need more than just a passing understanding of what they are and what you can do with them. In this blog post we’ll introduce you to the best Artificial…
Programming is one of the most important aspects of being a Data Scientist – it’s sort of like the glue that binds together the statistics, artificial intelligence, the visualisation, and so on. It’s not easy, though, especially if you’re just making the transition to it. On the other hand, there are some programming languages that are easier to learn…
There are lots of courses to help you learn statistics. Where to start? In this blog post we’re going to introduce you to 4 of the best courses about statistical learning for data scientists. Ready to get started? Then let’s go… Continue Reading
There’s no doubt about it – Data Science is big news right now. We see it on the news every day, the increasing number of news stories about Big Data, the Internet of Things, Deep Learning, Artificial Intelligence, smart cars, smart cities, smart politicians. Continue Reading
Over a decade ago I tried (unsuccessfully) to learn how to program in R, but with help from a friend – Matt Dancho – I’m finally getting started. If you didn’t know, I’m writing my findings and experiences into a series of blog posts so you can follow along with my progress and maybe try out…
Almost 2 decades ago (my, how old I’ve become) I was just starting my PhD and one of the resident statisticians, who was also doing her PhD – Janine – starting pestering me to learn how to program and do statistics in R. I resisted, because I was just learning how to program in Matlab and…
For several years now I’ve been receiving emails from our data ninjas asking me the same question over and over: “What do I need to do to get my dream data science job?” My answer has always been something along the lines of:Learn correlationsLearn PythonLearn artificial neural networksWhat I never said was “perfect your CV”. And that…
Looking for FREE Data Science books? Then you’re in the right place.Every month we feature 3 of the best free books on a variety of Data Science topics, from programming in R and Python to Statistics, Machine Learning and lots more.These free books might be time limited (or not), and you’ll find them in a…
Knowing how to navigate through statistics to create a plan-of-action for your next study can be difficult. Where do you start? Should you bury your head in the sand and go out and collect your data without having a strategy on how to analyse it? That’s probably not a good way to start – and yet…