Data Science Flex

My thinkful program left me very well prepared for finding a job in data. I found that the Data Science Flex program complimented my Biology degree with highly relevant skills in python, data and machine learning. This program pairs you with a mentor to meet with every week, ensuring you can get the support you need to understand challenging topics. After completing the coursework, the careers section is thorough and educates you as to the best way to job hunt and interview. I highly reccomend this program. 

Thinkful is absolutely worth every cent. I TRIPLED my salary in 6 months. I found a career I love and am passionate about that is technically challenging and rewarding. I had the best mentor ever who set me up for success in ways I didn't even understand at the time. The job search was grueling and exhaustingly hard work (took 4 months) but I didn't give up and my mentor was right; I landed a job making well above what I was making before and shocked myself by landing a 6-FIGURE-JOB!!! 50K over my target salary. I applied for over 1500 positions and it was worth every application to finally land my dream job.After struggling financially for years due to college debt for a career I hated and payed pennies, I was almost hopeless with my life. Then I saw an ad for Thinkful one day after always dreaming of a career in Tech and took the plunge. With the tuition guarantee I said what's not to lose? (although I found out at the end I didn't meet criteria not living in metro area for tuition guarantee which wasn't told to me before and was kind of suspect, I didn't let this affect me one bit because I KNEW I would succeed.)I will say this on a final note, you get what you put in. Everything is up to YOU. Thinkful will give you the foundation and help for success no doubt. It will not be easy and if it was it wouldn't be worth it. Some of my peers did not make it. But it is definitely the best choice I have ever made in my life, and I look forward to the freedoms and new life my new salary and job will give me. 

I enrolled in the program July 2020, completed curriculum (with a full time remote job) in December 2020, officially graduated January 2021, and accepted a position in the field in May 2021.ProsThe curriculum was written and paced well enough for someone with no coding experience to complete. That's not to say it was easy. I spent a lot of time reading, re-reading, and annotating notebooks to grasp concepts. But it's for sure do-able. I have a match background which helped some. Plus, if you do get stuck, you can ask your mentor, utilize a chat feature, or post in the Slack community (after Googling & checking Stack Overflow of course). The mentorship received from your one on one mentor is amazing! Having someone to ask questions to, get feedback or different ideas from, or even ask for resources on topics was extremely helpful throughout the process.The careers counseling after graduation is top notch! The resources of a personal careers counselor, with "curriculum," around networking, LinkedIn, resume/cover letter, applying, and negotiating were beyond my expectations. Definitely utilize these recourses as much as possible.Thinkful's Data Science Flex program was more affordable than other similar boot camps. I heard others complain about the financing but I don't have experience with that aspect. ConsThe grading thoroughness was inconsistent, depending on who graded your work. I had a great experience with my mentor at first but that changed about halfway through the program as they took on 15 additional students when enrollment in the Data Analyst program got an unexpected boost, started missing scheduled meetings, showed up delirious once, and wouldn't communicate scheduling issues ahead of time. They tried to make up for it by continuing to meet after graduation, but issues persisted. I am totally aware this could be a one off experience and would reiterate this mentor was great at first and still very much value this mentor's feedback as we keep in touch.There were featured added to the program that enrollees right after me got that I didn't and couldn't get access to. For example, the Python Skills Assessments, maybe modules too, are on the Qualified platform. Because I had already finished that module by the time Thinkful implemented it, I couldn't get access to it. I thought the experience on Qualified's platform could've prepared me better for take home assignments/challenges that companies give through similar platforms. 

I came into the program without much technical or professional experience. While I found the material easy to understand and was able to speed through a lot of it, I felt lost when I got to my capstones. This was because curriculum gives only a broad overview for some topics and you don't get to see any examples of real world projects. That being said, I think the most valuable part of this program is the people. If you make good use of mentor sessions/Q&A sessions, that can fill some of the gaps in the curriculum. And, feedback from presentation and mock interview evaluators was helpful for understanding practical things like job searching and expectations once you’re actually working. Many of these evaluators do want to see students succeed and are happy to help you out where they can. Overall, I would say you should be prepared to spend time doing your own research, especially if you want a strong portfolio, and be proactive about learning more to get the most out of the program. 

CurriculumThinkful advertises their courses as the equivalent of a Master's program. Data science is a broad and deep multidisciplinary topic, and no program could hope to cover everything, but I do feel that Thinkful's program gave me a solid base in data science concepts and practices. No prior knowledge of programming or statistics are assumed, and those basics are covered. Python and its packages for math, statistics, machine learning, and visualization became familiar and comfortable tools (including NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn). There are opportunities to explore further topics via an elective specialization topic later in the course. Course material is also updated to keep up with topics and trends.Be warned--Thinkful will tell you this program can be completed in six months, and it's definitely possible, but you need to be ready to commit to it as if it is a full-time job, seven days a week, if you want to finish in that time. I worked a part-time job as I worked through the program, and ended up needing to extend my enrollment to complete the full course. Your program manager and mentor will work with you if/when extending your enrollment seems necessary.InstructorsThinkful pairs you with one of their mentors for the duration of the course. Mentors have both education and business experience in your chosen field. Students meet with mentors regularly for review and questions about course material. Thinkful offers students the opportunity to change mentors as necessary. If I have a complaint, it is only that when I reached my specialization topic near the end of the course, and the topic I chose was not familiar to my mentor, I had to play "mentor roulette" to attempt to find a mentor with experience in my chosen area. As I understand it, Thinkful has already addressed the issues I had, and a better system is in place to better match students with mentors for this part of the curriculum.Job AssistanceJob searches are brutal, and probably the most difficult to handle when attempting a career change. Thinkful's job coaches are your best cheerleaders and a needed source of accountability on this part of the journey. I had been working with a career coach even before I committed to Thinkful's program, and it was encouraging to hear my Thinkful career coach offering advice that lined up neatly with a professional who has decades of experience across a broader range of careers. They most likely will not find a job for you, but they will help you develop the skills you'll need to successfully navigate a job search, and find a job in your new chosen field.

 I started the program during the peak of the pandemic looking for something new to learn after recently graduating from college. I found Thinkful and decided to try out coding in particular their Data Science Flex program. I did not have much coding experience going in but the program guided me through rudimentary coding to higher levels of coding. This program challenged me and helped changed my mindset to think in code. I would highly recommend this course to anyone, as it is informative for those who have coded before as well as, reasonable for those who have not. The support network for assistance was fantastic, whether it be help on an assignment, or information on the course itself, there was someone in the thinkful program that was there to help quickly and effectively. Not only that, but there is a large community of students, faculty, and graduates that are there to help you along your journey. 

What's incredible about Thinkful's process is what a strong emphasis there is on becoming a really strong coder, in SQL and particularly in Python. I spent about 90% of my time with Thinkful each week (which was a lot) hands on with coding, and pretty early on (I'd say at about the 1/4 or 1/3 mark) the significant majority of that coding time was in open-ended projects where I was expected to show a large degree of independence. At the same time, I was saved from wasting my time on bugs and other issues, beyond the first 20–30 minutes where working on the bug was actually informative, so that nearly all the time I was coding and working on projects I was building skills in an efficient way. There were data scientists available at all times to work with me personally on bugs, statistical questions, or any other issues, in addition to my bi-weekly meetings with Mark Peterson (a data science manager at Alliance Data)  assigned to me. In addition, I worked with Jay Padhya (a data scientist at Fiat Chrysler) to critique each of my projects, and while for each one I had gotten the resources I needed to perform really well, he would also give me more suggestions for how I could stengthen my work or add depth in whatever way, be it with visualizations, hyperparameter tuning, or what have you. My mentor, Mark, was great not only with the details of ML and data cleaning, tools from Sci-kit Learn, etc, and pushing me to include more to make my projects more robust, but also being really clear about what's valuable about a project to a business or organization to make sure everything I was working from the get-go was creating value. All the time I spent with mentors was really high-quality because it was 1-on-1, which prepared me in a more direct way for a workplace context compared to the classroom setting typical at some bootcamps. I came out of Thinkful with way more expertise and confidence in my coding and modeling skills than I thought would have been possible, and the support they gave me basically made me more excited at the end of the process than at the beginning and eager to take on bigger challenges.

With no hope in academia I decided on a career change and signed up for Thinkful's Data Science Flex course. The one-on-one mentorship was stellar. I learned so much and was able to land a data scientist position within two months after finishing, even in the middle of the COVID-19 pandemic! However, I think it's important to note that I have a graduate degree which definitely helped boost my resume.I wish there was a bit more SQL in the curriculum, along with more stats; otherwise, I thought all of the material covered was fantastic; there were even job-focused modules that focused on networking, cold outreaching, resume writing, etc. You really need to put in a lot of work and effort to be successful. Even though the "Flex" version of the course is part time, it's very easy to fall behind if you are not careful. Taking this course was one of the best decisions I've made in the last decade. Thank you Thinkful!Codi

I chose to study Data Science at Thinkful because they offered a remote, flexible program and a tuition reimbursement if I didn't land a job in 6 months after graduating. Remote study is definitely challenging, but I felt supported by Thinkful's staff throughout. I was especially impressed with my mentor, who I met with biweekly, and the other Data Scientists and Analysts who provided feedback on my projects and mock interviews. The team is great! The curriculum is good too. After completing the program, I have a working knowledge of a variety of data science solutions. Delving deeper into subject matter is definitely up to the student. My mentor was great at expounding on areas I wanted to learn more about, and of course there are plenty of resources online to supplement. If I could change any part of the curriculum, I would add more opportunities to practice SQL. Ultimately, I had a great experience at Thinkful, and I would recommend the program to anyone interested in preparing for a career in data science or analysis!

I was looking for a data science program because self studying wasn't doing it for me - I lacked motivation and self discipline.  I picked Thinkful because it was cheap AND had good employment rates after graduation.  Having to meet with a mentor twice a week was enough to keep me motivated and on track.  The curriculum gives you a good foundation, but there were some areas I felt I needed to supplement material (SQL and stats in particular).  While I was in the program, they were actively changing the curriculum though, so hopefully this has been improved.  Something I especially appreciated was all the career related help they offered during the program.  This means working on your resume, cover letter, and LinkedIn profile in addition to multiple mock interviews.  The mock interviews were nerve wracking, but they really helped me breakdown what I did well and what needed improving, so when it came time to doing a real interview it wasn't too bad.  After graduation, you are paired with a career coach and this was amazing.  In the data science/analytics program, you get to meet with other data grads who are also job seeking and share advice/links/stories with each other.  I definitely enjoyed connecting with other grads since it made the job hunting experience less lonely.  Thinkful really encourages you to develop your own network and connections, but they do have people behind the scenes working their own connections.  This is how I got my job offer even in the midst of the pandemic (July 2020), 4 months after graduating Thinkful.  Overall, if you are looking for a career change/finding a job, I'd recommend Thinkful.  

The support system is stable, and the community is excellent. Regardless of which Bootcamp you picked, the curriculum would be similar. It will give you the basics and different degrees of complexities. The thing that you can't fabricate is the community. I met excellent and supporting friends in my journey that I was so proud to be a part of it. The instructors and staff are my cheerleaders and therapist. You see, I'm working full time and a single mom, and you could imagine what type of hurdles comes my way. You won't be successful if you not have a sound support system with you. Thinkful has it all.

I was provided enough support to make it through the class on my own time, while working a full time job, and then ended up with a new job within a few months after completing the course! Would recommend this bootcamp to anyone.

Hello Everyone! I just finished my online bootcamp with Thinkful, specifically the Data Science Flex program. Honestly, I had an awesome experience with the program overall, and I was able to find job placement fairly quickly thanks to this program.A little background on myself (for context): I am a mathematics and computer science major, and while my formal education was robust, it was mostly theoretical (which I love!) and I didn't see myself finding work quickly, at least not without a graduate degree. I had heard about some online bootcamps that teach practical skills to get the student job ready within x amount of time. After doing some research, I found that most bootcamps offer similar programs, and have similar payment options. That made choosing quite difficult. I had decided to go with Thinkful because a friend of mine had started the program in Software Engineering, and had only great things to say about the program. I'm glad I did!My particular program was the Data Science Immersion, particularly because I had interest in Machine Learning and potentially Artificial Intelligence. Thinkful does a great job of touching all the key topics and theories that you need to know to get a solid foundation in Machine Learning. They start off with an in depth Python and SQL course as that is the language mostly used in the course. They follow that up with web scraping and a brief overview of accessing APIs. I felt that this was very beneficial as it allows students to learn skills that can be applied to roles other that "Data Scientist". Just being totally honest, not everyone is going to land a machine learning or data science gig from the get, and its good to have skills that can be applied in analytics and engineering roles as well.After the Python and SQL course, they start going into the data science workflow, starting with data extraction and cleanup and then  covering Machine Learning concepts. This for me, was the best part of the course. They go VERY in depth into how the algorithms works, going as far as giving in depth explanations of the mathematics behind concepts like Logistic and Linear Regression, Clustering, etc. The math nerd in me loved this, and it helped me really understand what was happening underneath the hood of the algorithms being discussed. For the folks out there that aren't so mathematically inclined, most of the highly rigorous maths are optional, but I would strongly recommend familiarizing yourself with the concepts. After every topic was covered you completed a capstone or project that had you combing the internet for data that you can apply machine learning principles on. I will give one caveat to the learning done at this stage. While the lessons are quite in depth, Machine Learning and Data Science in general are such expansive topics that Thinkful only scratches the surface and establishes a solid foundation in these topics more than anything else. A LOT of personal research and education will have to accompany the program to learn the more high end stuff. Also, while the program does provide links for optional learning, I still recommend students doing research on their own to expand their knowledge on the topics covered. I do appreciate the fact that the program is quite transparent about this.Also, all of this learning is done under the guidance of an experienced mentor, and this is arguably the best part of the program. The mentor provides real world perspective and teaches you all the tips and tricks that comes from years of work in the industry. They help provide context and clarity to a lot of the highly theoretical topics that the course touches on. Honestly there were time that I was incredibly stuck on a problem or capstone, and my mentor was the only way I was able to find any kind of clarity.All in all, fantastic program. If you are an aspiring data scientist, I strongly recommend this program with the understanding that THIS PROGRAM IS NOT EASY, and there needs to be a lot of self motivation in order to be successful. The results however, are more than worth it!Good luck to everyone!

Overall, I had a great experience with Thinkful. They paired me with a great mentor and academic success manager from the start. I can say with confidence that my mentor was the biggest piece of my success in the program. He was extremely patient with all of my questions and would even answer emails and offer me extra one on one time when needed. Even now that I've graduated I have stayed in touch with him and he still answers any questions I have. What I'm trying to say is, develop a good relationship with your mentor and don't be afraid to ask your academic success manager to be paired with a different mentor if they're not a good fit for you. Your mentor will largely determine what you get out of the program. The curriculum was fairly weak in some spots but overall it covered the big topics effectively. The assignments were great and challenging but I found myself going outside the curriculum to finish some of the projects. I was fine with this as I had my mentor to guide me to the correct literature but it would be nice if Thinkful could beef up the curriculum in certain spots. This is my only gripe with the program. My career coach was great and very supportive once I graduated. I found a job in about two months after graduating and she was a big part of that. She gave me great advice regarding my resume and portfolio as well as great tips for interviews. She was also very positive throughout the process as I received about 60 "no's" before my first "yes". We had weekly one on one's as well as group sessions with other graduates - all of which I found very helpful. Overall, I really enjoyed my time at Thinkful and would recommend it to anyone considering a "bootcamp". The program is not easy, they expect a lot out of you in a short amount of time but I can tell you with confidence that it is worth it. When I first started I only had about 6 months of coding experience and after the program I feel very confident in my abilities and am very excited to start my new career. Thank you Thinkful!

I graduated from the Thinkful Data Science Flex program in March of 2020. This program was amazing!  I was working full-time as a teacher so the pace and flexibility of this program was what drew me to it. There are guidelines for due dates to make sure that you graduate on time and some modules I finished early and others I needed an extra day or two and the program is setup to accommodate all of this. I was completely supported with a great mentor that I met with twice a week, a Slack channel that had tech support hours with great people, and a program manager that got back to me quickly with answers to my questions. After graduation my career counselor worked closely with me, gave me tips, sent over potential jobs to apply for, and helped refer me to the company that I just received an offer for!  Overall, I am very happy with the experience and would recommend it to anyone looking to change careers!

I recently graduated from Thinkful's Remote Flex Data Science course and was hired by a major company to do data engineering. I came into the program having completed Learn Python The Hard Way, some basic SQL, and signing up for DataCamp and HackerRank. I also have a strong math background which was helpful but not required for understanding the course's probability and statistics components. The Remote Flex course allowed me to work at my own pace through a structured curriculum, while also having access to 24/7 technical coaches via Slack and a twice-weekly meeting with my mentor. The course was definitely not easy, but I had plenty of support. The course starts you off by learning Python and SQL and then aims to provide exposure to many areas of data science including statistical significance testing, supervised and unsupervised machine learning, time-series analysis, neural networks, and big data. You're then able to specialize in a certain facet of the curriculum that you enjoyed the most. After finishing the course though your work has only just begun. The job search is its own beast and this is where I think Thinkful went from good to great for me. I was immediately paired with a highly competent and experienced career coach who set really solid expectations on what I should be doing in my search. She also had a team of Thinkful career folks connecting with companies that were hiring. It was through one of these connections that I landed my job. Overall, Thinkful provided me with a streamlined process for changing careers and I couldn't be happier with the end result. 

The curriculum was well written, making new concepts easily digestible. The instructors were great at bridging the gap between my theoretical knowledge and what I would need to be successful professionally. The career assistance was very helpful when it came to preparing application materials and were directly involved in helping me land my first role. Overall a very positive experience.

I just finished the Data Science Flex course and recommend it for any motivated person who wants to update their analytics skill set in a remote learning environment. The operative term is MOTIVATED. You have to self-discipline and motivation to get through the program because you are not learning in a class where you can ask instructors questions in real time and it’s much easier to fall of the face of the Earth in an online format. If you aren’t a self-starter and have the will power to keep yourself on task, you won’t make it through.As a former college professor who has taught both in person and online, I have been on the both sides of the learning experience and prefer in person courses because they are more conducive to higher quality learning. But, I was not in a position to enroll in a bootcamp in person nor was I in a position to take a full time course for 12 weeks. Thinkful was appealing for three reasons: it provided you with a mentor who was a senior data scientist and you would meet twice a week during the course, it provided a lot of other online support like virtual office hours with other senior data scientists and Slack channels with technical coaching support, and it was part-time with a flexible schedule. On balance, I had a great experience and learned a ton. The mentor program is its strongest feature because with a good mentor you have someone whom you can regularly ask questions about anything related to what you are doing in the course (including career advice). Your mentor also keep you on schedule for two reasons: 1) you don’t want to waste their time, and 2) they can help get out of ruts when you are struggling with projects. My mentor was outstanding and helped me a lot. My biggest problem was often with syntax and python basics that I would forget and they always provided helpful code. The material is text-based with examples and walkthroughs. They don’t provide lectures or seminars. You must be someone who learns by reading and doing to master the material. I am one of those people, but you may not be. If you prefer video instruction, you may not get as much out of the program. I, along with other students I was in touch with throughout the course went to YouTube for extra guidance or alternative explanations to help clarify some things. Be prepared, however, to do extra reading on your own on a regular basis. I think that you’ll probably do that in any bootcamp course you take. You pay around $8,000 for six months in the program with 42 days of pause time. Once you sign up, you get a customized schedule with deadlines to help keep you on pace. Pause time allows you to temporarily stop the schedule for a period of time and push your deadlines back in case you are behind, work gets crazy, or you need to break to clear your head. 
 Other strengths:
Most of the material (80-85%) was accessible and focused on showing you how to apply what you’re learning. They provided enough theoretical and conceptual material so you got the big idea, but the highest quality materials made code accessible to newbies.
Technical coaching support was always great. Coaches are patient and stick with you until the problem is solved, regardless of how long it takes to figure things out.
Online office hours and other support: Mentors holding office hours were always outstanding and very helpful. 
“Pause time”: they give you 42 days of “pause time,” where you can pause your timeline and get deadlines pushed back. You might get behind at some point and this is your option to 
Administration: you get an Academic Success Manager who acts like a counselor throughout the course and is there for help related to anything but data-science specific issues. ASMs were always pretty good about supporting you through tough times that were outside of your control. For example, people got extra pause time during the pandemic. 
You choose a specialty at the end where you dig a little deeper on a topic of your interest and that serves as the basis for your final capstone project. This is something for you and your mentor to figure out together. 
Career Support: You get six months with a career coach to help you find a job, but they require a lot of work. I can’t say more since I am just entering that phase. 
WeaknessesSome of the material was not so clear. You would occasionally come across a subsection where the concept was not broken down very well or the code explanation was glib and you needed to do a lot of outside reading to figure things out. Or, the explanations about the concept and code were both pretty shallow yet there was a big leap between that and what you were required to do for the accompanying assignment. That didn’t happen often, but did so occasionally. Unfortunately for me, I specialized in NLP and the material was incomplete, requiring me to do read a lot of extra material to bring me up to speed. This caused me to take longer than I wanted to for the final project. It worked out OK in the end, but this was pretty frustrating. From my own discussions with other students, this does was not the case with other specialization modules, thankfully.

Thinkful

I have been participating in Thinkful's Data Science Flex program since early September 2019. 

For the last three months, I have learned a lot. I had no prior experience with Python or SQL. At the moment, I am finishing up my Capstone 3  project and I am satisfied with my process.

I have a quantitative background and I can proficiently operate in Excel and in Tableau.    

To start with, Data Science program is not an easy program. Even though they say you can only spend 25 hours a week, that is not the case. For the last three months, I AT LEAST spent 30 hours a week to keep it up with the program. But I was expecting this because I did a vigorous search before I signed up to this program. Data Science is overall not so simple and the amount of information you need to absorb is just too much in only couple of months. That is why the dropout rate is very high. I guess it was around 70 percent. 

The curriculum is alright. I wouldn't say it's great or perfect. I think the main problem is the lack of examples. They only give you one example and move to the next point, they don't get into very deep. You need to make good amount of google searches to fully grasp a subject. They teach you the basic but important points. However , I don't really judge them because even with this, it's crazy amount of workload piled into 6 months. For a 6-month-long program, the curriculum is good enough.

I get to have two sessions with my mentor every week. They usually last around 45 minutes. 

I requested a change of mentor after four weeks into program because my first mentor was incredibly careless and always looked down on me. He would expect me to know something which was never mentioned in the curriculum, otherwise he would act like I am a moron and  should just go ahead and drop out of the program. He was really disrespectful and disgusting overall. Every session was like I was wasting his precious time. He would always have the session in a loud coffee store and I wouldn't hear whatever he said most of the time. 

On the other hand, my current mentor is the best. He is a good explainer, motivator and friend. Whenever I am stuck in something, he patiently helps me with the code or theory. He leads me to search the theory and purpose of the models. Overall, he is helping me to become a Data Scientist and I am very happy that I get to meet him. And yes, he is located in a quiet room whenever we are having our session, thanks God! 

There are about 100 mentors only in Data Science Flex program and it is possible that there might be some bad mentors. Considering both of these mentors have worked with Thinkful for years, you could be matched with any of them. 

I only had one session with my program manager. She was very nice. After having serious problems with my first mentor, she was very supportive and immediately reassigned me to my current mentor. 

I never got a chance to participate in an office hour. It's because I have to work whenever I am not studying. But I have seen some interesting subjects and I am planning to join them starting next week. 

I had only one session with the career service but it is okay because I am in the middle of the program. Towards to the end, I am sure I get to spend more time with them. 

OVERALL

I would recommend Thinkful's Data Science programs only if you have the time and you are sure that you will study hard. As I said, I'm a quantitative person and I have to spend about 30-35 hours a week to keep up with the workload. Yet, this is not Thinkful's fault. If you really want to become a Data Scientist, this is the reality you will face wherever you go. 

If you are ready to allocate the time and and study hard, Thinkful is a nice first step to start!!!!!

First, I recommend this program to anyone looking to start his/her career in data science. You just need to be a person who can fulfill his/her commitment, and follow a clear time management plan.

In addition, I would like to highlight the following:

The curriculum is great for the fundamental stage, but after reaching more advanced topics, it started to become not enough, you are required to do a lot of self-learning out of the curriculum using everybody's friend "Google". It could be part of their plan to encourage your self-learning.
They have Q&A at different times of the day. You can come up with your questions and they can help you by guiding you to the answer.
You need your mentor twice a week. It is more than enough, and the best way to ask more complicated questions which require a longer time of guidance and discussion.
The school is not taking it easy, they are very strict about the quality of your work. They really work on pushing you to learn and provide quality work.
They have good and experienced mentors who can support you during your learning journey. In addition, they have a slack channel where you can post any questions or inquiries and they are efficient in providing answers if it is during day time

I just graduated a few days ago, and I am getting ready to start my job search journey. Thinkful has a tuition reimbursement guarantee if you follow their requirements and did not get hired within 6 months of graduation.