Follow this workshop to get an email the next time it’s scheduled.
Sign-up not required
Questions? Read our FAQs
Explore one of the most promising and in-demand career paths for skilled professionals.
Basic business intelligence was once the gold standard in generating insights to drive important business decisions. In the information age, the amount of data available to businesses is nearly surpassing our ability to store, access, and analyze the results in an efficient manner.
Data science is emerging as a discipline to help take business intelligence to the next level by making it easier to harness large amounts of data, make accurate predictions, and create data-driven recommendations. Also, Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals.
The goal of this bootcamp is to give you a taste of data science. We will define what data science is and introduce the data scientist's toolset through examples and case studies. By the end of this session, you will be able to phrase problems in data science terms, approach the solution in a structured and rigorous manner, and understand how data visualization can help convey uncovered insights.
General Assembly’s classes, workshops & events are for recreational purposes and are not regulated by the bureau of proprietary school supervision.
If this class is recorded, students will be sent the recording link within 7 days after class completion by email. Students are encouraged to download and save any shared materials (worksheets, deck if applicable) during class for later reference as they are not be shared by email.
A Data Science Overview
The Data Analytics Workflow
The Data Science Toolset
Jonathan is a team leader for Kismet Analytics, a full-stack data consulting company that works with companies to build out bespoke data operating systems and improve their analytical capabilities.
His job responsibilities include architecting project strategies, engaging in code reviews, communicating key outcomes to business stakeholders and using the python computing stack for all things analytics: regression, data cleaning, visualization, building data feeds, model deployment and application development.
Your registration for or attendance at any General Assembly offering indicates your agreement to abide by this Community Code of Conduct policy and its terms.
Enter your email to start following
You’re following Data Science Bootcamp.
Start following any program. No need to enter your email again.