For years, people have been talking about the era of “big data.” The data deluge. As early as 2010, The Economist wrote about how “quantity of information in the world is soaring.” Now 13 years later, businesses have still struggled to keep up with the volume of data. This has been great for the data … Read more
Data visualization is extremely important in data science. Although you often hear about the importance of data manipulation (i.e., “80% of data science is data manipulation”), data visualization is just as important. I explained why in a recent blog post about why you need to master data visualization. That blog post has a detailed explanation … Read more
A few weeks ago one of my students sent me an email. He’s a student of our Numpy Mastery course, and he was playing around with some Numpy techniques that he had learned in the course. In his email, he sent me some sample code, along with a question. i am attaching a file and … Read more
As a data scientist or data professional, you might think that your primary job is to write code or analyze data. In some sense that’s true, but those things are not the ultimate purpose of your work. Ultimately, your job is not to write code. Writing code is important, but that’s not really the goal … Read more
Last week, I wrote a blog post explaining that it’s actually hard to master data science ultra fast. In order to master data science at an accelerated rate, you need to do a lot of things correctly. You need to work hard, and you need to do things that most students aren’t willing to do. … Read more
Here at Sharp Sight, we teach data science. And in particular, we show people how to master data science extremely fast. Exceptional results, as fast as possible. Our training methodology borrows heavily from elite performers and “ultra learners,” wherever we can find them. But our promise of “exceptional results, as fast as possible” sometimes confuses … Read more
Here at Sharp Sight, I frequently use the word “fluent” to describe an ideal skill level with data science. When you join our courses, our goal is to help you become “fluent” in data science, or “fluent” in a particular skill. We want to help you become fluent in data science as fast as possible. … Read more
One of the common questions that I get from my readers is about “big data.” This is particularly true of beginners, who frequently read or hear the term “big data,” and think that it’s extremely important, and that being able to work with big data is necessary for a job in the data industry. For … Read more