One of the most important skills you’ll need as a data scientist (and a junior data scientist in particular) is telling stories with data. Companies, hiring managers, and recruiters not only need you to be able to find insights in data; they also need you to be able to communicate with data. In practice, communicating … Read more
As you’re learning data science, you ultimately need to learn several different toolkits. You need to learn the tools of data visualization. You need to learn the tools of data manipulation. You also need a variety of other tools for specialized tasks, like geospatial visualization, machine learning, and others. Here at Sharp Sight, we have … Read more
For many data scientists and data analytics professionals, as much as 80% of their work is data wrangling and exploratory data analysis. Of course, everyone wants to focus on machine learning and advanced techniques, but the reality is that a lot of the work of many data scientists is a little more mundane. That isn’t … Read more
Data storytelling is a critical data science skill, so after you’ve mastered data visualization, you need to learn to tell stories with data.
This week, here’s another map: a map of world oil production that you can create using R.
As I’ve mentioned, projects like this – a few hundred lines of code, with a variety of functions from the tidyverse – are excellent practice for intermediate data scientists.
To become a great data scientist, you need to master data visualization. One intermediate topic that you’ll need to learn is how to work with color. Specifically, you’ll need to learn how to manipulate the “fill” color of things like density plots …
In this post, I want to walk you through the logic of building a map, step by step …
How many data science books have you read? 5? 10? A few dozen? How many free online courses have you taken? A few? How many blog posts have you read? (I’d be willing to bet: you’ve read dozens.) If you’re like most budding data scientists, you’ve probably consumed a lot of material. You probably even … Read more
A few weeks ago, an acquaintance told me that he was interested in getting started with machine learning. He’s a web developer who primarily works in Ruby and Python, but also has a small amount of experience with R. Day-to-day, his work is run-of-the-mill web development, and he’s confessed to me that he’s a bit … Read more