Deep learning is a type of machine learning that’s growing at an almost frightening pace. Nearly every projection has the deep learning industry expanding massively over the next decade. This market research report, for example, expects deep learning to grow 71x in the US and more than that globally over the next ten years. There’s […]
Here’s an important fact that’s easy to forget: our data is only as helpful as it is understandable. Most of the time, that means creating some kind of data visualization. And while a simple bar graph might cut it for internal work, making your data both visually understandable and visually attractive can help it get […]
At Dataquest, we strongly advocate portfolio projects as a means of getting a first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Intermediate: Averages and Variability course, and it assumes familiarity with: Sampling (populations, samples, sample representativity) Frequency distributions Box plots […]
At Dataquest, we strongly advocate portfolio projects as a means of getting your first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Fundamentals course, and it assumes some familiarity with: Sampling (simple random sampling, populations, samples, parameters, statistics) Variables Frequency distributions […]
Editor’s note: This post was written as part of a collaboration with Enigma, a public data company. Author India Kerle is a data curator at Enigma. There are a canon of open datasets used widely in data science projects — you’ve likely come across something making use of the Iris Flower classic or New York’s […]
Editor’s note: This post was written as part of a collaboration with data.world, a site for sharing and hosting data. Authors Shannon Peifer and Gabriela Swider are on the data.world team. Finding the right data can be difficult. And even once you have it, how do you collaborate with others to make sense of it? […]
When working with data, a key part of your workflow is finding and importing data sets. Being able to quickly locate data, understand it and combine it with other sources can be difficult. One tool to help with this is data.world, where you can search for, copy, analyze, and download data sets. In addition, you […]
This is the fifth and final post in a series of posts on how to build a Data Science Portfolio. In the previous posts in our portfolio series, we talked about how to build a storytelling project, how to create a data science blog, how to create a machine learning project, and how to construct […]
You’ve done it. You just spent months learning how to analyze data and make predictions. You’re now able to go from raw data to well structured insights in a matter of hours. After all that effort, you feel like it’s time to take the next step, and get your first data science job. Unfortunately for […]
A collection of the best places to find free data sets for data visualization, data cleaning, machine learning, and data processing projects.
Data science skills are crucial for today’s employers, but listing data science on a resume isn’t enough to prove your expertise. Build a data science portfolio that showcases your prowess in a clear and undeniable way. Learn how to highlight your knowledge in a way that will inform, impress, and help you get the job.
Learn how to build and deploy an automated bot to identify the best rental properties using Craigslist, Slack, and Python.