Data-Mania

Where Learning From Data Is A Piece of Cake


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With so many new courses available in 2017, lots of people are stuck wondering how formal academic programs measure up to online training for becoming a data professional. No wonder! There are thousands of options available to you nowadays (unlike when I started in 2012, and there were less than 20 online courses on “data science”). With all these options you really have it made in a major way, but out of these options – a new problem...

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The Big Data Technology Landscape Cheat Sheet The big data technology landscape – it’s immense and can be overwhelmingly complex. That’s why most people and businesses have been slow to adopt. For outsiders, big data can be quite the ball of yarn to untangle. I know this because, for almost four years, I’ve had the pleasure of delivering big data training to diverse professionals from major corporations all over the world. The hardest...

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If you’re like my other clients then you’re super sick of being stuck in the 9-to-5 grind. You know you’re smart, and I know you’re smart, but you’re stuck under a layer of middle management that are still catching on to what happened last decade. What’s worse, they treat you like a wage slave. The slavery mentality behind it all – That’s the worst part of it all!! If this is you, then it’s totally time to kickstart your career...

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The point of building a data science portfolio is to demonstrate your skills to prospective employers. So before going into too much detail, let’s identify what these prospects are actually seeking. A Newcomer’s Guide to Building a Data Science Portfolio Let’s be real. When it comes down to it, prospective employers are looking to hire data scientists who generate monetary value by either reducing waste, or increasing revenues. That’s...

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If you’ve been following along with the Data-Mania blog recently you’ve already learned why making your own branded space on the web is a game-changer for working professionals and independent data consultants. Today we’re going to talk about how you can become the owner of an awesome data science blog that delivers you loads of highly-targeted traffic. Before going into details on how you can do this, let’s look at why you should be...

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Many people are already skilled in data science, yet struggle to find a job. This difficulty usually arises from the person’s approach to finding work. This issue is one of the things I help my proteges overcome in the coaching program. As part of that effort, we get them signed-up for Kaggle and submitting some projects. But, having a portfolio on Kaggle is one thing (a good thing), and winning competitions on Kaggle is...

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If you’ve been following along with the Data-Mania blog recently, then you’ve learned about the power of branding yourself as a data-driven professional. You’ve seen why it’s important to get active on social media. Now I want to give you a brief heads up on some top tech influencers for data professionals to follow. Unlike all those Twitter popularity contests you see (Read: Who’s Who of Twitter bot strategy), this list isn’t about...

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If you’re like most people, when you think about the idea of branding yourself as a data-driven professional, your next thought goes something like, “me, a brand? I don’t even know what to do with that concept.” If so, I can totally relate. As recently as 2011, I didn’t have a Facebook account. I didn’t even have any social media accounts, let alone have a brand or an online following. I preferred to live offline, thinking “why...

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If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and wondering “Is data science right for me? How hard would it be to transition into that field? Would I even like it?”. These are the types of questions we clear up in the first few weeks of my coaching program, but I understand that most people aren’t in the position to sign-up for that now. That’s...

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Smart, scrappy, and resourceful data scientists are more in-demand than ever. Some data scientists are trained in academia, and that’s fine. For people with degrees in non-quantitative fields, I recommend those formal academic programs. And then there’s the – driven data scientist, – the dedicated data scientist, – the self-taught data scientist! These are the people who aren’t afraid to go in deep with data, math,...

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