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Springboard

Avg Rating:4.63 ( 934 reviews )

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, machine learning, UI/UX design, cybersecurity, 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 weekly 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 tuition-back guarantee allows students a six-month runway to land a job.

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.

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  • Cyber Security Career Track

    Apply
    Start Date Rolling Start Date
    Cost$8,900
    Class sizeN/A
    LocationOnline
    Springboard is a leading digital skills bootcamp that has empowered thousands of students to get their dream job. The Cyber Security Career Track we offer is the first online bootcamp to guarantee your first cybersecurity job or your tuition back. In this fully online Cyber Security Career Track, you will learn from the comfort of your home and at your own pace with 1:1 support from a skilled cybersecurity mentor and dedicated support from career coaches. You’ll complete 30+ labs and 35+ mini-projects while getting everything you need to pass the Security+ certification test. By the end of the bootcamp, you'll have all of the blue team technical and communication skills you need to start a cybersecurity analyst role (A job that helps you earn about $100,000 in average salary). Units include: - Cybersecurity Basics (optional) - Cybersecurity Fundamentals - IT Project Management - Host-based security - Network Security - Identity and Access Management - Security Assessment and Training - Security Operations - Application Security - Security+ Prep"
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit
    Deferred Tuition: Pay a $700 deposit and the rest and the rest when you get a job.
    Tuition Plans$1,590/month, $8,900 upfront, loan financing and deferred tuition payment plans available.
    Refund / GuaranteeYour money back if you don't land a job within 6 months after graduating from our online bootcamp and receiving your Security+ Certification.
    Scholarship$750 scholarship for veterans and women in tech.
    Getting in
    Minimum Skill LevelAll backgrounds are welcome, as long as you can demonstrate strong analytical skills and a determination to work through and complete all required course activities.
    Placement TestYes
    InterviewYes
  • Data Analytics Career Track

    Apply
    Data Analytics , Data Visualization, Excel, Python, SQL
    OnlinePart Time15 Hours/week
    Start Date Rolling Start Date
    Cost$7,000
    Class sizeN/A
    LocationOnline
    Become a data analyst in six months, job guaranteed! Through this course, developed in partnership with Microsoft, you’ll master the technical and business thinking skills needed to get hired. In addition to learning fundamental business statistics concepts, key tools (like Excel, SQL, Python, Power BI, and Tableau), and advanced analysis techniques, you’ll develop your problem-solving skills—something hiring managers told us most job applicants lack. Two capstone projects will allow you to bring all of your skills together, becoming the center of a powerful portfolio. And you’ll do it all with the guidance of your personal mentor and career coach, plus support from your fellow students and Springboard alumni.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred tuition plan: Pay $500 and the rest when you get a job.
    Tuition Plans$7,000 upfront or $1,400 monthly payments, or deferred tuition plan.
    Refund / GuaranteeBecome a data analyst. Job Guaranteed.
    Scholarship$500 scholarship for veterans and women in tech.
    Getting in
    Minimum Skill Level2 years of professional work experience working regularly with office, design or programming tools. Strong critical thinking and problem-solving skills.
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Data Engineering Career Track

    Apply
    Data Engineering, Virtualization, Spark, Data Structures
    OnlinePart Time20 Hours/week24 Weeks
    Start Date Rolling Start Date
    Cost$8,500
    Class sizeN/A
    LocationOnline
    Data Engineering students will learn to translate business needs into data infrastructure. The curriculum is designed to teach students the framework, skills, and tools the world's top technology companies demand. Some of the topics the curriculum covers include ETL and data pipelines, big data technologies like MapReduce, Apache Hadoop and Spark, and data warehousing, data schema, and modeling.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit
    Deferred Tuition plan: Pay a $700 deposit and the rest and the rest when you get a job.
    Tuition Plans$1690/month, $8500 upfront, loan financing, and deferred tuition plans available.
    Refund / GuaranteeFull tuition refund if you don't land a job within 6 months of graduating.
    Scholarship$750 scholarships for veterans and women in tech.
    Getting in
    Minimum Skill Level- 6+ months of work experience in any analytical role, ideally working with SQL - 6+ months of work experience as a software engineer using Python or Java or C++ - Bachelor's degree in CS or other degree that involves extensive programming skills
    Placement TestYes
    InterviewYes
  • Data Science Career Track

    Apply
    Data Science, Git, Python, SQL, Machine Learning, MySQL, Spark
    OnlinePart Time20 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$8,500
    Class sizeN/A
    LocationOnline
    Get a job, or your money back, through Springboard’s mentor-guided online bootcamp. With our job guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. Students will master the data science process, from statistics and data wrangling to advanced topics like machine learning and data storytelling, by working on real projects designed by industry experts. With the guidance of your personal mentor and career coaches, you will graduate with an interview-ready portfolio and a network of data scientists. We won’t stop there. We know that career transitions are hard, and we’ll support you every step of the way—until you get hired.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition available: Pay $700 and the rest when you get a job.
    Tuition Plans$1690/month or $8,500 upfront or deferred tuition plan.
    ScholarshipWomen in Tech Veterans
    Getting in
    Minimum Skill LevelComfortable programming and comfortable with statistics.
    Placement TestYes
    InterviewNo
  • Data Science Career Track Prep

    Apply
    Data Science, Data Visualization, Python
    OnlinePart Time15 Hours/week6 Weeks
    Start Date Rolling Start Date
    Cost$490
    Class sizeN/A
    LocationOnline
    Need more prep before you begin the Data Science Career Track? In this mentor-led course, you'll spend 4-6 weeks mastering the foundational Python and statistics skills needed to pass the admissions challenge and start your career. This course was designed specifically for go-getters who want to enroll in our Data Science Career Track, but who need an introduction to, or a refresher in, Python programming, statistics, or other core data science concepts. With guidance from your personal mentor, you’ll finish the course having learned how to use Python to complete real-world coding exercises. You’ll also be able to ace our Data Science Career Track admissions challenge and begin your data science journey.
    Financing
    DepositNone
    Getting in
    Minimum Skill LevelBeginnger
    Prep WorkNone
    Placement TestNo
    InterviewNo
  • Introduction to Design

    Apply
    User Experience Design
    OnlinePart Time10 Hours/week4 Weeks
    Start Date Rolling Start Date
    Cost$349
    Class sizeN/A
    LocationOnline
    This four-week, online course allows students to experience the Springboard curriculum in a bite-sized, easily digestible format. It’s created for those who want to test if online learning is for them, and those who are simply curious to see if their interest in design could lead them towards a new career. Introduction to Design students have access to one-on-one mentorship from a design expert, a one-on-one call with a career coach, hands-on, exercise-based learning, access to a dedicated student advisor, a teaching assistant, student operations support and a community of aspiring designers and design experts.
    Financing
    DepositN/A
    Tuition PlansThere is a one time fee of $349 at the time of enrolling in the course.
    Getting in
    Minimum Skill LevelNo minimum skill level required.
    Prep WorkNo prep work needed for this course.
    Placement TestNo
    InterviewNo
  • Machine Learning Engineering Career Track

    Apply
    Artificial Intelligence, Machine Learning, Python
    OnlinePart Time20 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$10,000
    Class sizeN/A
    LocationOnline
    Fast-track your machine learning career through our mentor-guided, hands-on machine learning engineering course—the first to come with a job guarantee. Our curriculum, designed for people with software engineering experience, is rigorous and deeply technical, teaching the foundations of machine learning and deep learning. But it’s also hands-on. Of the 400 hours of work we estimate it will take to complete this course, 100 hours go toward capstone projects. You’ll build and deploy large-scale AI systems—with guidance from your mentor, an experienced machine learning engineer currently working in the industry.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition Plan Available: $700 refundable deposit at the time of enrollment, pay the rest after landing a role in machine learning engineering.
    Tuition Plans$10,000 upfront $1880/month
    Refund / GuaranteeJob Guarantee. Get a job after 6 months or get your money back.
    ScholarshipWomen In Tech: $750 Veterans: $750
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Software Engineering Career Track

    Apply
    React.js, jQuery, JavaScript, HTML, Front End
    OnlinePart Time20 Hours/week36 Weeks
    Start Date Rolling Start Date
    Cost$8,500
    Class sizeN/A
    LocationOnline
    Launch your career as a software engineer with 1:1 mentorship, career coaching, and a job guarantee. If you don’t land a job within six months of graduating, your tuition is refunded. We’ve partnered with legendary coding instructor Colt Steele to develop a cutting-edge curriculum covering everything from Python and SQL to the latest JavaScript frameworks that employers are hiring for, React and Node. As part of the course, you’ll build your own production-ready web apps to showcase to employers. You’ll also be paired with a personal mentor, an experienced software engineer currently working in the industry, who will guide you throughout the course.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb CreditPay $500 upfront. Then make low monthly payments of
    $61-121 during the course, and $346-380 for 33 months after.
    Tuition PlansOne-time Upfront Payment: $8500 Month-to-month: $1,150/month
    Refund / GuaranteeLand a software engineering job in 6 months of graduating or get a full tuition refund.
    ScholarshipWe offer a $750 scholarship for women in tech and veterans.
    Getting in
    Minimum Skill LevelPrerequisites: JavaScript fundamentals & programmatic problem solving skills. Recommended: HTML & CSS fundamentals
    Placement TestNo
    InterviewNo
  • Software Engineering Career Track Prep

    Apply
    JavaScript, HTML, CSS
    OnlinePart Time10 Hours/week6 Weeks
    Start Date Rolling Start Date
    Cost$490
    Class size1
    LocationOnline
    Learn HTML/CSS and JavaScript in this online self-paced course from your own senior software engineer mentor. The perfect foundation to becoming a software engineer and taking more advanced job-guaranteed bootcamps like Springboard’s Software Engineer Career Track.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • UI / UX Design Career Track

    Apply
    Data Visualization, Design, User Experience Design
    OnlinePart Time20 Hours/week39 Weeks
    Start Date None scheduled
    Cost$10,000
    Class sizeN/A
    LocationOnline
    Want to break into the tech and have a creative impact? Even if you have no previous design or tech experience, you can become a UI or UX designer in 9 months, equipped to own the product design process end-to-end. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. The course curriculum is ideal for those looking to career transition from non-design related backgrounds. You'll learn to apply design tools and concepts in the context of real-life design problems. Receive rigorous training from user research and wireframes to high fidelity mockups and working with developers to implement them. Build your confidence and a stellar portfolio curated from hands-on projects with clients. You have the flexibility to study online whilst working full time. Plus get 1-1 expert mentor support and a dedicated career coach to ensure your success throughout your journey.
    Financing
    DepositN/A
    Financing
    Lending partner available: Climb Credit

    Deferred Tuition: Pay $700 upfront, and the rest when you get a job.
    Tuition Plans$1299/month, $10,000 upfront, or deferred tuition
    Refund / GuaranteeJob Guarantee
    Scholarship$750 for women and veterans
    Getting in
    Minimum Skill LevelAll backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills.
    Placement TestYes
    InterviewNo
  • UX Career Track

    Apply
    Design, User Experience Design, Data Visualization
    OnlinePart Time15 Hours/week26 Weeks
    Start Date Rolling Start Date
    Cost$6,900
    Class sizeN/A
    LocationOnline
    Become a UX designer in six months, job guaranteed! The UX Career Track is an intensive user experience course with a full career services component. With our guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded. This self-paced, mentor-guided, online bootcamp is designed for people with adjacent skills from a few specific backgrounds: visual design, coding, marketing, and research. With the fundamentals already in place, you'll master design thinking, develop cross-functional communication skills, and create real-world projects that you can show off in a unique portfolio. After graduation, you’ll continue to enjoy the support of career coaches and access to our employer network so that you can land an entry-level UX job.
    Financing
    DepositN/A
    Financing
    Lending partner: Climb Credit

    Deferred Tuition: Pay $500 upfront, and the rest when you get a job.
    Tuition Plans$1299/month, $6,900 upfront, or deferred tuition
    Refund / GuaranteeJob Guarantee
    Getting in
    Minimum Skill LevelAcademic or professional experience in user design or development oriented fields.
    Placement TestYes
    InterviewNo

1 Scholarship

  • $750 Springboard Scholarship

    Course Report is excited to offer an exclusive Springboard scholarship for $750 off tuition!

    Eligibility

    Offer is only valid for new applicants. Applicants who have already submitted an application cannot claim this scholarship. & This scholarship cannot be combined with other offers.

    Qualifying Courses

    • UX Career Track (Online)
    • UI / UX Design Career Track (Online)
    • Software Engineering Career Track (Online)
    • Machine Learning Engineering Career Track (Online)
    • Data Science Career Track (Online)
    • Data Analytics Career Track (Online)
  • Christiane Harris  User Photo
    Christiane Harris • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    It was very helpful to learn skills hands-on by starting the capstone project so early in the course, then slowly working on it for a couple months as each skill is learned. My mentor was particularly amazing (gave thoughtful, expert, challenging, and encouraging feedback), which made every penny worth the course. I hear most mentors are great, though I'm sure experiences can vary a bit. 

    My main small complaint about the course is that most sub-projects are still fairly large/involved, but there's not much bite-sized practice beforehand. Everything (for the most part) goes straight into the capstone (until the next big project).  Since the capstone will be displayed in the portfolio, it can be easy to spend inordinate amounts of time working on (and stressing about) making the very first attempt at each assignment "perfect," or "impressive."

    Recommendation: schedule at least one extra mentor call each week, whether you have questions or not. Extra mentor calls can help you stay on track and know when your work is "good enough" to move on.
  • Anna Poruks  User Photo
    Anna Poruks • UX Designer • Graduate • Verified via LinkedIn
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    I really enjoyed Springboard's UI/UX Career Track program! It is a hefty curriculum, but easy to follow and left me confident that I gained a solid foundation in the field. I also really enjoyed the UI exercises added throughout the curriculum to help me learn and refine my design skills! I studied full-time and completed it in about 9 months (so this is not a quick-fix course, especially coming from a non-design background). I would recommend it to anyone looking to commit to a career change!
  • Legit Bootcamp
    - 4/15/2021
     Ben  User Photo
    Ben • Product Designer • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    I had a fantastic experience at Springboard. The mentor and career coach relationships proved to be invaluable to my job search. I was able to land an offer before I even graduated!
  • Jon Kim  User Photo
    Jon Kim • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
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    Job Assistance:
    I did a lot of research before finally deciding on Springboard's UI/UX Design Career Track. The deciding factors for me were the flexibility of the self-paced curriculum, mini internship (industry design project), and the reasonable tuition.

    Overall, the program was paced well and covered a lot of material (both theory and practice). I finished the course with four projects on my portfolio website and tons of practical advice from career coaches (salary negotiation, portfolio/resume critique, networking, LinkedIn help and more). The required mock interviews also gave me a sense of how "real" UX interviews would be conducted.

    As with any new experience, it is what you make of it! Put in the work and utilize all the available resources!

    If you decide to apply, here is a referral link for a nice discount!
    https://www.springboard.com/invite/BFH8M
  • A good prep
    - 4/15/2021
    Caitlin Jansson  User Photo
    Caitlin Jansson • Graduate • Verified via LinkedIn
    Overall Experience:
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    Was a good prep course, just a quick taste of data science. Was a little light on code and too heavy on basic statistics. Would have prefered more statistical concepts and less math forumlas. 
  • Jason McGinty  User Photo
    Jason McGinty • Android Developer • Graduate • Verified via LinkedIn
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    The biggest pro for me was the self-paced, very independent curriculum. I was working full time when I started the program, so it was nice to be able to work through the curriculum at my own pace rather than having a set schedule.

    Weekly calls with a mentor are very helpful in checking up on progress and making sure any questions you have along the way get addressed. My mentor was very knowledgeable and thorough in his explanations of any questions I had.

    I found the projects and assignments more helpful than the videos. I typically learn things best by doing them rather than hearing about them, so often I would still be lost at the end of the videos and then figure things out while doing the assignments.
  • Jay-Ce Heisig  User Photo
    Jay-Ce Heisig • Associate Marketing Specialist • Graduate • Verified via LinkedIn
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    I enrolled in Springboard’s Data Analytics Career Track upon completing a two-year contract with Teach For America. I always had an interest in data but never felt confident in acting on it until I had to figure out my next step after teaching. I studied international relations and communication/writing in my undergraduate career so had no formal quantitative experience upon applying. 
     
    From the moment I applied to Springboard, everything was incredibly professional and straightforward. In fact, after submitting my application, a recruiter called me within 5 minutes to talk about my interest - completely opposite of another boot camp I was considering who didn’t even contact me despite confirming an appointment. This quickness made me think they were desperate, but the recruiter wasn’t pushy but friendly and even gave me an informal interview to make sure I was someone who really wanted to sign up. After that call, I was required to take a roughly one-hour long quantitative aptitude test to further verify that data analytics was a path I could reasonably pursue. I mention this because I was worried that I would fall trap to simply enrolling into a program that took anyone and everyone who signed up. In truth, I’m not sure if they decline students from enrolling either way, but I felt confident that this interview and assessment were evidence that they were at least slightly selective in their admissions process. 
     
    Curriculum 
     
    The curriculum is mostly a curation of online resources. These resources come from YouTube videos, articles, and other websites related to business and data analytics. A couple of units are specifically dedicated to business education like economics, financial analysis, statistics, accounting, and other business fundamentals. The cycle of the projects also follows that of a typical data analyst workflow, somewhat similar to the scientific method in crafting a hypothesis, gathering data, exploration, etc. I found these concepts helpful as I was someone who steered away from anything business-related up to that point; I simply had no interest back then. 
     
    Most of the projects simulate a real-world project utilizing the things you learned earlier in the unit. These are not typically from online resources and are created by Springboard. Given that I don’t have real-world experience with these kinds of projects, it’s hard for me to stack them up against practicality, but they tended to help structure my capstone projects which require you to make up your own project and find the data for it, so it was helpful in that regard. Otherwise, sometimes the projects were poorly worded and it could be slightly cumbersome in finding out exactly what you were supposed to do. But these were usually minor and you could always clarify with your mentor or other students about the assignments and get clarification. They also release new versions of the curriculum to improve a particular assignment, section, or even whole unit based on student feedback so they really try to be responsive to what’s working and what’s not for students. 
     
    Towards the final stages of the curriculum, you’re required to do a series of interviews that would mimic a real interview you would get. For example, you do a behavioral interview, a presentation interview in which you create a presentation from a project in the course and give that presentation as if you were “working” for the organization, and a technical interview in which they ask you questions about statistics, business, SQL, or whatever else might come up in a real technical interview. Your career coach helps you prepare for these, mostly the behavioral ones as they aren’t data specialists themselves but you can also do preparation with your mentor to prepare for these. They are pass/fail. You’re given a couple of opportunities to pass it but if you fail too many times then you have to redo a couple of units I believe. At first, I found this kind of scary, but the pressure it adds to those interviews is really helpful in simulating what it will be like when you’re doing real interviews. They tend to be anxiety-inducing, you’ll be nervous, and the stakes are higher. The fact that they try to build this pressure into these mock interviews was pretty cool now that I reflect on it. At the time I didn’t think it was that cool! But if you’re someone who struggles with interviews, these mock runs are helpful not only in getting practice but also feedback from those interviewers. They go into detail about how you could do better or other things to think about when you get to a real interview.  
     
    Mentors and Community 
     
    Each student is assigned a mentor who is a data analyst/scientist in the field. You have weekly calls with them and they’re mostly there to guide you through the curriculum but you can always talk to them about other things like job searching or how they use tools/techniques in their own jobs, etc; at least my mentor was open to talking about whatever. I hadn’t ever come across anyone who had a bad experience with their mentor, but it doesn’t mean it doesn’t exist. My mentor was incredibly relaxed, easy to talk to, and helpful when I needed help in the curriculum or needed encouragement on something I found difficult. One thing that made me like my mentor more was also his ability to sometimes question minor details in the curriculum. I appreciate someone who can point out weaknesses in something even though they’re part of the organization itself. It let me know that this person I was assigned to by Springboard wasn’t necessarily a 100% kool-aid drinking member of the club, but an independent person who, though still agreed the curriculum was a good one, was capable of sometimes saying “well I’m not sure I would do it that way but it’s valid.” 
     
    Upon being accepted into the program, you are also invited to the Slack channel for your specific course. This is where you can communicate with other students in the course who are all at different stages of the curriculum, though you do have a channel for people who are in your specific cohort. There are also Springboard faculty in the channel as well, including a person who helped write the curriculum. They are really helpful in clarifying kinks in assignments or helping students who are having a difficult time on something. There are also various channels for different types of things like job searching, motivation, resources, recorded lectures, and all types of things. 
     
    Throughout the curriculum, you also have career units in which you learn strategies about job searching. You’re also allowed to choose a career coach, who appears to be contracted with Springboard (I could be wrong about this) to provide 30-minute coaching sessions. These range from resume critiques, to mock interviews, to general strategies, to sharing resources, and really anything that they feel would be helpful to you. You also aren’t required to stick with one career coach, you can always select from a whole list of people at any point and they have descriptions of their background to give you a sense of what to expect. I stuck with the same one the entire time because I didn’t feel the need to talk to a different coach. 
     
    The Job Search 
     
    The job search process was not a totally pleasant one, as anyone who has gone through it can attest. But my career coach and the Springboard community in Slack were really helpful. You could see where other people were struggling as well and my career coach would always give helpful suggestions or resources to help in my search. I applied to a little over 90 jobs and had 3 total interviews. Again, I don’t have any kind of formal background in data, business, or STEM besides the Springboard certificate and some projects to showcase my aptitude, so I felt that that was a bit of a barrier for me. 
     
    Despite this, I did get a job! A friend of my partner referred me to a role at her company which landed me the interview. My career coach did a mock interview with me, reviewed Google Docs that I drafted interview responses to, and answered any other questions I had during the process. I can honestly say my experience in the boot camp really gave me a leg up. They loved that I had that experience and projects to show for it. During the final round of interviews for this role, I had a technical assessment and didn’t do too hot on it, but I was able to redeem myself by talking intelligently about my projects in the course. I think this made me come across as someone who understood general concepts and use cases for specific things and even if I lagged on the technical assessment, I was someone who could get better quickly. My title isn’t “data analyst” but “marketing specialist.” Much of the role is data related though and even though some of it isn’t, it allows me to use skills that I’ve built over the years in undergrad and as a teacher so I’m not 100% shifted into a totally new technical profession. The other roles I interviewed for were pure data analyst jobs though. I made it to either the final or next to final rounds in those interviews and made some mistakes that I think cost me the job. You learn from these though, and your career coach will help you diagnose what happened and how you can do better the next time. I finished the course in mid-November and just recently got a job offer on March 29, so a little over 4 months after completing the course. 
     
    Another cool thing that Springboard offers is post-completion assistance. You’re allowed to meet with another mentor who can help you be accountable for keeping your skills alive and building more projects to showcase to prospective employers. You have access to this mentor until you get a job and can be really helpful when you complete the course and then start to find that your skills are slipping. 
     
    A Potential Downside 
     
    One potential downside to this track might be the curriculum. Though this downside is innate in the way the course is structured. It’s set up as a part-time, 6-month learning experience. They want you to get familiar with a wide range of tools that you could potentially use in a data analyst job, mostly the more popular ones as there are TONS of tools that you could potentially use in the field. In this regard, there’s more breadth than depth in the things you’ll learn. They are still helpful. After a unit and a project, you can honestly say that you’re proficient in that tool or concept. You’ll also learn that each tool could be its own 6-month course. If you haven’t used Microsoft Excel professionally before, or maybe you have, you find out that Excel is more powerful than what you were familiar with. This was the case for me anyway. I’m not sure that any boot camp can really overcome this downside though when the curriculum itself is designed to be completed in a relatively short period of time. You might become interested in diving deeper into a tool after completing a unit on it, but have to move on to the next tool introduced in the next unit. This is just part of being in tech. I recommend seeking other online resources if you become really interested in getting better at a particular tool. However, I still believe, along with many other practitioners, that the curriculum is still helpful in allowing you to understand the essentials and then get a job with them. 
     
    In Conclusion 
     
    I think the number one thing that you get out of the course is structure and community. Of course, you could learn everything in any boot camp online for free, but you to be someone who can muster the discipline and structure to stick to it long-term. I have a habit of constantly looking for new resources to learn from, even after finding what seems like a good one, I’ll complete half of it and then start looking for something else. Springboard’s curriculum allowed me to stay on course and I trusted that what they put in front of me was going to be helpful in learning and ultimately getting a job. The frequent connection with my mentors, career coach, and other students was really helpful in knowing that I wasn’t alone. It gave me a psychological edge in that someone I was meeting with at the end of the week was expecting me to complete assignments and be able to discuss them. This was a total career pivot for me and, so far, I’m glad that I did it. 
     
    I welcome any questions about my experience and the program! 
     
  • Purevdulam Gansukh  User Photo
    Purevdulam Gansukh • Graduate • Verified via LinkedIn
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    Recent graduate of Data Analytics course. I really liked Springboard for its mentor supports, the career coaches, and also the ability to have 2 capstone projects to show and impress the potential hiring manager. 
  • Braden Bullock  User Photo
    Braden Bullock • Graduate • Verified via LinkedIn
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    Overall I had a very good experience with Springboard. Their curriculum is very thorough and provided a great knowledge base to work with in future careers and internships. Springboard provided a company through which I was able to start an internship that has the potential of turning into a future employment opportunity which has been really nice. My mentor was very helpful and provided great feedback in our weekly calls. The curriculum was a little light on the 'UI' portion of the UX / UI Design program which was sort of disappointing. Other than that, everyone that I have interacted with at Springboard has been very helpful and knowledgeable. I completed this program with an average of around 30 hours a week in 6 months. Be aware that if you do choose to do the internship that they set you up with, that will take a month to complete so make sure to schedule that in. 
  • Taylor Myers  User Photo
    Taylor Myers • UX/UI Designer • Graduate • Verified via LinkedIn
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    I just completed the Springboard course and have to say,  I have never made a better decision in my life! 9 months ago I was laid off from my service industry job, wondering what direction I wanted to take my life. Now, I have a full-time position as a UX/UI Designer making almost three times the amount I did previously. I use the skills that I acquired from Springboard daily (in addition to all the great resources they provide.) The curriculum is fantastic, the mentors are top-notch, and the community support is second to none. I will say that if you do not have professional experience working on teams, giving demos, networking, and doing a lot of writing, it could be a bit challenging. Overall, I could not recommend this program enough!
  • Hillary N  User Photo
    Hillary N • Graduate • Verified via LinkedIn
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    The data analytics career track was a great program. Overall the curriculum is well designed it is easy to keep track of your progress. I loved that it was a self-paced program, but that it needed to be completed within 6 months, kept more accountability on it. The 1:1 mentor component was why I chose this program, and it was definitely one of the key factors in making the program so valuable. Having a student advisor that you could also schedule meetings with and email was very helpful in keeping motivated through the course. They have a slack community and office hours that makes it feel like you're not working alone even in a remote environment. The inclusion of a career curriculum helps to set you up for the best possible job prospects after the program. Overall great value and I feel prepared to begin job searching! 
  • Data Analyst
    - 4/4/2021
    Duy Dao  User Photo
    Duy Dao • Data Analyst • Graduate • Verified via LinkedIn
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    This was a really great course! I learned a lot about Advanced Excel Functions, Data Visualization, SQL and Python. The mentors were really helpful and provided unlimited mentor calls whenever you need help or are stuck on the course. I would recommend this course.

Thanks!