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The Data Incubator is a leading data science education and career advancement platform. It offers a data science fellowship program for aspiring data scientists, providing them with the skills, mentorship, and connections needed to excel in the field. The platform also provides corporate training and consulting services to help businesses leverage data science for strategic advantage.
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Website Key Features
Data Science Fellowship
An intensive program designed to bridge the gap between academia and industry, offering hands-on experience, mentorship, and job placement assistance.
Corporate Training
Customized training programs for businesses to upskill their workforce in data science and analytics.
Consulting Services
Expert consulting to help businesses implement data-driven strategies and solutions.
Mentorship
Access to a network of experienced data scientists and industry professionals for guidance and support.
Job Placement Assistance
Comprehensive support in finding and securing data science roles post-fellowship.
Project-Based Learning
Real-world projects to apply data science skills in practical scenarios.
Networking Opportunities
Events and meetups to connect with peers, alumni, and industry leaders.
Online Resources
A wealth of online materials and tutorials for continuous learning.
Alumni Network
A vibrant community of alumni for ongoing support and collaboration.
Career Services
Workshops and one-on-one coaching to enhance job search and career development strategies.
Additional information
Headquarters
New York, NY, USA
Founders
Michael Li, Chris Wiggins
Website
https://www.thedataincubator.com
Social Media
LinkedIn, Twitter, Facebook
Contact Email
info@thedataincubator.com
Phone Number
+1 (646) 801-8477
Program Duration
8 weeks (full-time), 20 weeks (part-time)
Eligibility
Advanced degree (Master’s, PhD, or equivalent) in a quantitative field or significant professional experience in data science.
Application Process
Online application, technical challenges, and interviews.
Scholarships
Available for qualified candidates to support diversity and inclusion in data science.
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