A Sharp Sight Labs reader (and now student), Jason P. recently started learning data science. He has a background in data analysis (primarily with Excel and related tools in the Microsoft ecosystem) but he wanted to start learning some of the harder skills of data science. He contacted me after he had diligently reviewed past […]
One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with data science. While this helps you select […]
In a recent post, I wrote that when you’re starting out with data, you need to focus much more on process and technique, not syntax. Beginning students hear this, but it’s easy to ignore and get lost down the rabbit whole of syntax.
The problem is …
Over and over, when talking with people who are starting to learn data science, there’s a frustration that comes up: I don’t know which programming language to start with.” And it’s not just programming languages, it’s also software systems like Tableau, SPSS, etc. There is an ever widening range of tools and programming languages and […]
There’s never been a better time to start learning data science. As early as 2011, McKinsey was predicting shortages of skilled data scientists (and noting big data as a key factor in business competition). They were right. As 2015 begins, the data industry has never looked brighter for people with exceptional data skill. Indeed, in […]
Once you know how to create simple plots you’ll want to learn how to design more sophisticated plots. A large part of being able to design sophisticated plots is having control over the “non-data elements” of the plot, such as the plot title and axis titles.You want to be able to format those and polish […]
Last week I published a data visualization of San Francisco crime. This week, I’m mapping Seattle crime data. The map above is moderately complicated to create, so I’ll start this tutorial with a simpler case: the dot distribution map. Seattle crime map, simplified version First, we’ll start by loading the data. Note that I already […]
When I was working as a data scientist at Apple in Silicon Valley, I’d drive up to San Francisco on nights and weekends to meet a girl for dinner or go to a meetup.
I sort of fell in love with the city, and …
For our purposes here, data exploration is the application of data visualization and data manipulation techniques to understand the properties of our dataset.
We’re going to be looking for interesting features: things that stand out, trends, and relationships between variables.
You’ve probably read numerous articles telling you how to start learning data science. Collectively, they tell you to dozens of things you need to learn. Learn Python. Learn R. Learn Hadoop. They tell you all the skills you need: learn machine learning, visualization, data wrangling. Little technical skills like manipulating vectors, matrices, loops. More tools […]