Data Science Bootcamps in Seattle, WA
Seattle, along with neighboring cities on the Puget Sound, has long been considered an epicenter of the global technology industry. Online retailer Amazon and computing giant Microsoft are arguably the regions two dominant technology companies, and both boast robust data science teams. But other corporations such as Starbucks, Expedia, Nordstrom, and Alaska Airlines also are based in the Seattle area and invest heavily in data science. Chinese search giant Baidu recently opened a new office in the area, citing the depth of cloud technology talent as a major reason for the move.
One of the fastest-growing cities in the U.S. for software-related jobs, Seattle has a diverse and vibrant data community. Professionals come together for meetups, networking events, and volunteer opportunities. Young people in particular have been flocking to the region in recent years because of the historical tech roots and relatively affordable housing, compared to other hubs like San Francisco and New York City.
Also appealing to younger professionals is the Emerald City’s startup culture. There are dozens of coworking spaces, including the ubiquitous WeWork, the Pioneer Collective, Galvanize, and the women-focused space The Riveter. These offer support for first-time founders and entrepreneurs, helping Seattle grow richer in tech innovation.
What you can expect to make as a data scientist in Seattle, WA
Data Scientist
$131,112
Data Analyst
$68,399
Data Engineer
$116,678
Featured Online Data Science Bootcamp
Springboards Data Science Bootcamp combines the flexibility of online learning with the 1-on-1 support from expert mentors and career coaches to help you get a Data Science job.
What you will learn:
Text Analytics
A common application of machine learning, text analysis helps computers understand the “meaning” of the text, like whether a tweet about a movie says something positive or not, or whether an email is spam.
Linear & Logistic Regression
The foundation of machine learning, regression algorithms represent simple models, but understanding them is key to mastering more complex algorithms. Linear regression enables modeling of continuous numbers; logistic regression is a common method for binary classification problems.
Model Evaluation
Models are developed with training data, but its important to evaluate how they will generalize beyond the examples they’ve already been shown. One common model validation technique is cross-validation.
Local schools that provide similar courses in Seattle, WA
Metis
51 University St #300, Seattle, WA 98104
Metis accelerates the careers of data scientists in Seattle by providing full-time immersive bootcamps and evening part-time professional development courses.
Galvanize
111 S Jackson St. Seattle, WA 98104
Join the Seattle campus and become a respected data scientist to start bringing innovation into your organization.
Data Science Dojo
2205 152nd Ave NE, Redmond, WA 98052
Short-duration, in-person, hands-on training to get you started with data science in 1 week at the Seattle campus.
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What students are saying about the Data Science Bootcamp
The course work is well designed. My mentor is very good at explaining ideas and helping move forward.
Excellent curriculum and great mentors. Springboard definitely helped my career in data science.
Support from everyone in the course from Student Adviser to your Mentor really matters and is important to succeed in the course