To learn more about this program and to contact a consultant, visit Hacker U's Data Science and Analytics Bootcamp page.

At the end of each program, HackerU provides comprehensive Career Services for assistance in job and internship placements. Students can start from scratch, learn the basics, and then progress to in-depth training topics. Youll walk away with a portfolio of projects showcasing your. Our full-stack development program is a 14-week intensive that teaches front-end and back-end subjects like JavaScript/jQuery, React, Node.js, PHP, C. Data science bootcamps usually cost a fraction of a four-year degree, and you may be eligible for scholarships, loans, payment deferment, and other types of financial aid. This bootcamp is a deep dive into the fundamentals of data science and machine learning in Python. LearningFuze is the 1 rated web development bootcamp / coding school in the Orange County / Los Angeles / Inland Empire area and is the longest-running OC code school. No previous experience in tech is necessary. A data science bootcamp is a short-term, intensive training program designed to help students become data scientists by teaching them in-demand data skills through project-based learning. The immersive learning environment is designed for learners with a non-technical background to gain hands-on experience that can qualify them for entry-level positions.

Students utilize cutting-edge materials to engage in project-based learning, practicing real-world scenarios and developing the critical thinking necessary to succeed in the data science and analytics field. This comprehensive curriculum teaches the most up-to-date skills and hands-on experience that employers look for in qualified data professionals, with instructors who are leading professionals in the industry. In partnership with HackerU, the College of Professional and International Education (CPIE) at California State University, Long Beach (CSULB) offers a Data Science and Analytics Bootcamp with the goal of transforming learners with little or no experience into ready-to-hire data scientists in less than one year.