Data Analytics Career Track

I recommend this course if you like being self paced and self learning. 

Springboard was great! Good structure (slightly clumsy curriculum with Power BI & Tableau, but plenty of ways to supplement that) that made me feel confident interviewing. But the best part was the mentorship and the career help. I landed a new job before I finished, and I'm so happy. My mentor gave me great feedback during the time and was key in my success with the coursework. Springboard is very supportive and will really work with you to ensure you come out of the program with great results. Lots of work, but worth it if you're needing a fresh start. 

This course was such a benefit to me as I needed advanced Excel skills, and some math (statistics fundamentals) as well as refresh my SQL and Python skills. The only thing I would change would be to add more practice in each skill set. The mentors and slack group were extremely beneficial as well as career coaching. 

With no prior experience, I was able to develop a career that I wanted with this program. I always loved the STEM field, but never thought I was any good. With all the mentors and career development options, along with the strong curriculum, I was able to find a new path. For that I will always be grateful.

Excellent curriculum and lot of learning! Mentors and career coaches are very supportive ! 

I recently graduated from the Springboard Data Analytics career track, and I would rate it an 8 out of 10 stars. I would say if you don't think you're self-disciplined enough, or won't have the time to dedicate to your studies, then reconsider taking as most of the curriculum topics are hard and 6-months is a short timeframe to really learn them. However, the bootcamp tries hard to set you up with the resources and mentorship needed to carry through.

I really liked the syllabus that covered topics that are essential for a data analyst role. The weekly mentor calls helped me to be on track with the course and the on-demand mentor calls were always a savior whenever I faced a roadblock. The mentors are all highly knowledgeable industry experts. And lastly, the carrier coaching also helped me to prepare confidently for upcoming job interviews. I would highly recommend any aspiring data analyst to take this course.

The Springboard curriculum is well organized and put together. It covers key concepts like statistics, economics, Microsoft Excel, Tableau, Power BI, SQL and Python. The community and mentor help are definitely valuable resources. The one thing I wish could have been a bit better were the projects. I felt like a lot of the resources were too much handholding, I feel like I could have progressed faster and learned a little more with a bit more rigorous projects.

The Data Analytics Career Track overall was a great experience that helps you get your feet wet in data analytics, presentation, and cleansing including many other skills that are great things that you can add to a resume. I studied Economics and IT in college and when going through the earlier units in this course, I felt that they were repetitive for me. For the SQL and Python units, I learned a lot of things that were good to know but not necessarily will be helpful to a data analyst job and for Python specifically, I felt that more practice would have been great to have since some people experience trouble with learning coding. 

If your goal in going to Springboard is to get a job, as was mine, then you may be in good hands. I scored 3 job offers within 3 months of starting the program. That's about all I can say positively about the program, and the success in landing a job came more from the psychological impact of the program name than it did from the program itself. Unfortunately, the curriculum is one of the laziest curriculums I have ever seen in my education experience. Most of the useful parts of the curriculum are outsourced entirely to third-party resources that you can get for a very affordable membership outside of Springboard. I did not learn Python or SQL from Springboard. I learned it from Datacamp, as part of the Springboard program. Springboard charged over $6,000 for the program, while Datacamp charges $25 per month. You do the math.Everything that isn't outsourced is subpar. YouTube is superior - literally. You are given a very introductory glance to a lot of topics, then forced to plod through busy work that you clearly don't need to be doing. Springboard instructions are clear and off-putting in this regard - "This entire unit is mandatory, even if you are already familiar with the content."For nearly every assignment, the instructions are incredibly unclear, requiring huge amounts of student time just to understand what they are actually being asked to do. The time is not spent to ensure that assignments provide a good educational experience. Instructions are literally given in very-poorly formatted Excel documents, with students being expected to go a Slack chat just to discuss with other students what is being asked. So you don't really spend time learning data science skills. You spend time learning how to interpret Springboard's odd approach to education, and then slap a Data Analytics certificate on top of it.Overall I am glad I got some job offers. Looking back, however, I don't think Springboard helped me as much as they would claim they did.Sadly, still a much better option than college! But the world can, and must, do much better.

I spent about 6 months working through the data analytics career track, where I developed technical skills in advanced Excel, Tableau, Power BI, SQL, and Python techniques. The course also develops skills in problem solving, presenting to different audiences, and networking. Pros: - 1 on 1 mentor support- support team for when you get stuck on assignments- structured curriculum that shows progress- work at your own pace- networking/job search support team upon completion- job guarantee Cons:- significant time commitment - I found the Python unit to be a difficulty spike in the curriculum (I've received feedback that the Python unit is getting some restructuring, note: this is my personal opinion) 

Great curriculum and mentor support. I learn skills i could use immediately in my current role as a supply chain analyst. I would recommend this course to anyone who is trying to break into the data world. I wish the course had more excel related exercises. Apart from that, great course. 

The training is intensive with case studies and 2 capstone projects. I learned analytics and visualization tools in Excel, Tableau (or Power BI), SQL, Python, also I had chance to review finance, economics and statistics. I worked with my mentor weekly, and career coach bi-weekly. Also, I can have chance to use unlimited mentor access to contact mentors anytime during the week. My student advisor was very supportive, and the slack channel was helpful to help me catch up with the training. In sum, it was a great experience joining in the Data Analytics Career Track program with Springboard.

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!  

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. 

I was part of the Data Analytics program which provided 400+ hours of intensive training on data analysis, visuals using Tableau, and programming tools Python, Excel, SQL and Power BI

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! 

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.

While the curriculum is broad and thorough one key feature of the boot camp, a one on one mentor, was extremely helpful in working through assignments. I would say the program is half technical and half job search. Career Coaches and Student advisors were available for the other half. One final note worth mentioning is the cohort and community support among students were essential for morale.

Although I was a little hesitant at the beginning because I wanted to take a course with a renowned University, Springboard gave me the flexibility of working at any time, which I needed, cause I could not commit to night time classes. They also had both Tableau and Power BI in their curriculum which usually for other programs is just one of them, and the thing that I liked the most was the 1 on 1 mentor training, besides unlimited mentoring from very smart people who actually work in the industry. The course is very organized, it has great content, projects give you a lot of knowledge, and I feel from the point I started, until now, I've learnt so much and I will be able to put all that knowledge into practice. And you also get the job career help from very knowledgeable people who really care about your job search and want you to obtain the best job.  I definitely recommend Springboard for anyone looking to learn the Data Analytics Track!