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Springboard is an online learning platform that prepares students for the tech industry’s most in-demand careers with comprehensive, mentor-led online programs in software engineering, data science, UI/UX design, cybersecurity, tech sales, and more. All Springboard courses are 100% online, remote, and self-paced throughout an average of 6-9 months. Springboard acts as a support system, coach, and cheerleader for working professionals who are ready to level-up or make a major career shift. Students have access to a unique community of industry mentors, thought leaders, and alumni, who are on hand to offer insights, networking opportunities, and support throughout the program and well past graduation. Every Springboard student is matched with a personal student advisor and industry mentor who guides them throughout the program through regular video calls.
To apply, applicants fill out an online form, take an aptitude test, then talk with a school representative about their background and motivations. For the data science career track a background in statistics and/or programming is required. For the UX career track, students should have academic or professional background in user design or development-oriented fields.
Before graduation, Springboard’s career services team supports students in their job search, helping prepare them for interviews and networking, and facilitates their transition into the tech industry. Springboard's programs are backed with a job guarantee.
Springboard’s support does not end when students graduate. All graduates benefit from an extensive support network encompassing career services, 1:1 career coaching, networking tips, resume assistance, interview prep, and salary negotiation. Since Springboard was founded in 2013, 94% of eligible graduates secured a job within one year, earning an average salary increase of $26,000.
This course gives an extremely broad foundation for getting into ML/AI/DS careers. The weekly mentoring is perhaps the best part, and having weekly meetings with an experienced member in the field pays huge dividends, especially as you find yourself changing jobs or feeling like some impostor to the field.
You will become extremely knowledge about the math and proof of concept stage to getting machine learning-based projects off the ground. I think this is helpful, but could improve i...
This course gives an extremely broad foundation for getting into ML/AI/DS careers. The weekly mentoring is perhaps the best part, and having weekly meetings with an experienced member in the field pays huge dividends, especially as you find yourself changing jobs or feeling like some impostor to the field.
You will become extremely knowledge about the math and proof of concept stage to getting machine learning-based projects off the ground. I think this is helpful, but could improve in many ways for 2020.
1. More emphasis on deploying systems and system design. The curriculum delves very little into cloud services (AWS, GCP, Azure), preferring a more open-source based model. I think this is good in general, but machine learning engineers are inevitably going to be using one of these services in their careers. The course gives you credits for AWS, but little attention is paid in the curriculum to its use cases. Given all the time spent in the course, reading other paid material like "Grokking the System Design Interview" shouldn't be necessary if the curriculum is better formed.
2. Techniques other than machine learning. It's kind of ironic to ask a course like this to do something other than ML, but knowing when ML is useful and when other techniques are appropriate (from heuristics to Deep RL) does not really get much attention.
3. More work on data collection. It would be much more helpful if the course explained more further up the pipeline on how to collect, ETL, and store data to make ML possible. It might be an old school way of thinking, but many companies have older data systems that need to be understood in order to get to the interesting ML portions.
Course Report is excited to offer an exclusive Springboard scholarship for $1500 off tuition! Be sure to enter CR1500 in the Promo Code field of your application so Springboard can extend the discount to you upon acceptance.
Course Report readers can receive an Exclusive Scholarship to Springboard!
How much does Springboard cost?
Springboard costs around $11,900. On the lower end, some Springboard courses like Introduction to Data Analytics cost $349.
What courses does Springboard teach?
Springboard offers courses like Cyber Security Career Track, Data Analytics Career Track, Data Science Career Track, Data Science Career Track Prep and 7 more.
Where does Springboard have campuses?
Springboard teaches students Online in a remote classroom.
Is Springboard worth it?
Springboard hasn't shared alumni outcomes yet, but one way to determine if a bootcamp is worth it is by reading alumni reviews. 1,584 Springboard alumni, students, and applicants have reviewed Springboard on Course Report - you should start there!
Is Springboard legit?
We let alumni answer that question. 1,584 Springboard alumni, students, and applicants have reviewed Springboard and rate their overall experience a 4.63 out of 5.
Does Springboard offer scholarships or accept the GI Bill?
Yes, Course Report is excited to offer an exclusive Springboard scholarship for $1500 off tuition! Be sure to enter CR1500 in the Promo Code field of your application so Springboard can extend the discount to you upon acceptance.
Can I read Springboard reviews?
You can read 1,584 reviews of Springboard on Course Report! Springboard alumni, students, and applicants have reviewed Springboard and rate their overall experience a 4.63 out of 5.
Is Springboard accredited?
While bootcamps must be approved to operate, accreditation is relatively rare. Springboard doesn't yet share information about their accreditation status.
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