In this article, we begin our "Intro to Programming" series, which covers basic to intermediate programming concepts with Python.
If you’ve decided to add programming as a new skill in your toolbox, or even if you’re only toying with this idea, here are the top five reasons why you should consider starting with Python.
Learning to code? You're in good company! Here is why some Hollywood celebrities have been learning it too.
Women have been at the forefront of computing since its beginnings. Check out these four ladies whose work became game-changing.
Learning new things is hard. But it is also the best thing you can do for your happiness, health and productivity, at any age. Here are six strategies you can use to learn so it sticks.
Your colleagues are learning to code - here's what you're missing out on.
Here's why you're never too old to learn programming.
Let's take a deep dive into the ABC of building your first Data Science project.
When it comes to career development, big data has become a bit like the proverbial bear: you either "eat" it by learning to tame and put it to work for you, or it eats you.
As Duke Economics professor Dan Ariely once famously said, big data is a lot like teenage sex - everyone talks about it, no one really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.
Big data is only as valuable as the the insight companies can get from it, and analytical talent is in short supply. Here are five tasks that Data Scientists do on a daily basis to mine big data for insight.
It is said that, in business, as in life, we do not get what we deserve. We get what we negotiate for.
Building a compelling personal brand and story is a great asset for landing a job as a Data Scientist and for developing a strong professional network for your career. Here are six steps that you can take right now towards building your career in Data Science.