Models provide necessary simplifications to a complex world. They reduce real-world phenomena into a set of key features and relationships that allow us to explain, analyze, and sometimes even predict. But there is a cost to these powerful benefits. In this post, Data Scientist Tony Yiu walks us through understanding the limitations of our models and their assumptions.
One of the most commonly used charts for data visualization is the bar chart. But too often, the starting value of the y-axis is intentionally modified to skew our interpretation of the chart and the data. In this post, see examples and learn how to readily identify this issue.
Once the concept of AI grabbed the attention of bootcamp graduate Alex Smith, she began a self-study regimen. “The more I learned about data science in particular, the more I became convinced not only of its power to solve difficult problems but convinced that I wanted to use this incredible toolset to solve problems that I care about,” she said. Read how she went from the humanities to a career in data science.
We recently hosted a webinar on Exploring the Adoption of Python in the Workplace, during which our team broke down Python for data science and analytics, explaining what drives adoption and how companies are reacting to the shift.
At a challenging time like now, when remote learning is the only option, our live online capabilities have enabled us to continue serving our students and clients without skipping a beat. Here are 3 ways you can learn live online with us.
In this infographic, we break down a data set that’s near and dear to our hearts: one that represents our Data Science Bootcamp alumni. Find out where our grads are working and within what industries, where many of them call home across the United States and the world, what they studied pre-bootcamp, and much more.
Bob Dylan once sang, “Yesterday's just a memory. Tomorrow is never what it's supposed to be.” It’s hard to imagine more prescient words as the world grapples with the difficult, unprecedented, and global impact of the Coronavirus (COVID-19). Our thoughts are with those directly and indirectly impacted. In this post, I share some of the steps we’ve taken as a company to guarantee that we continue to deliver on our promise to help the world find value in data, while keeping our students and staff safe.
For Kari Davis, there’s before the bootcamp, and there’s after. A clear demarcation between two paces of professional life – one slower and more bureaucratic, the other fast-paced and constantly changing. Learn how a Metis Bootcamp Prep Course helped her prepare for the bootcamp and then land a new data science job.
This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a project to improve Airbnb's smart pricing tool and another to enhance a karaoke app by creating an added recommendation engine.