A proven 6-step process for writing better study notes for data science — I’ve been a student for a long time. Like six years-in-post-secondary-so-far kind of long. In all of those six years and various areas of study — including data science — the one thing that I’ve become an expert in is note-taking. Not only that, but I’ve built and refined a…

These 4 things may seem beneficial, but they’re actually keeping you from becoming a data scientist this year — Becoming a data scientist is a goal that many of us built for ourselves over the last few years. Many of us went the self-teaching route, others blended self-learning with more structured programs, and others went to university or bootcamps (where let’s face it, you’ll probably end up self-teaching yourself…

Math, when used in the very practical world of data analysis, is actually pretty fun — Math and data analysis are practically synonymous terms when you work in the tech industry. It’s why many people get scared away from working in analytics because there’s this preconceived notion that math is all the job entails. In reality, while I can’t say that there isn’t some math involved…

Here’s how to set a self-study routine that you’ll actually stick to while learning data science — While self-studying data science, you’ll find yourself in one of two hypothetical settings: on an escalator or a staircase. Those who laid the groundwork by making a curriculum of everything they need to learn, set daily, weekly, monthly, and yearly goals to help guide their progress, and continued to tweak…

A few tips on how you can make your non-traditional past a selling point for your first data science job — Data science is one of those interesting tech fields where you can talk to people who once studied philosophy, worked as nurses, or walked dogs for a living, and are now scraping the web, building machine learning models, and presenting data conclusions to C-level executives. It doesn’t matter what background…

Learning from these mistakes will help you avoid wasting time while self-teaching data analysis — If you’ve ever attempted to self-teach yourself something, you know that it often takes you an immeasurably long amount of time. This rings especially true when it comes to teaching yourself data analysis. From coding to mathematics to data visualization, data analysis encapsulates three very different skills that all require…

Fixing these habits can make you a more efficient data scientist — I’m pretty sure we’ve all done at least one of these bad habits at some point or another in our collective journeys toward data science. Whether we do them when we’re just starting with our learning, or we do them later on because we’re reasonably good at what we do…

New year, new data scientist — As I mentioned in my last post, preparation is key if you want to achieve any of your New Year’s resolutions. Have you ever wondered why so many resolutions that started out with excitement in January peter out and fail by February? It’s because they weren’t sufficiently prepared for the…

Micro-credentials are a place to start in data science if you know how to leverage them properly — Nowadays, you can get micro-credentials in anything from animation to basket weaving and everything in between. Micro-credentials have taken the learning world by storm over the last 7 years, allowing people to earn badges for acquiring and demonstrating a specific skill. Some of the first micro-credentials were for programming skills…