Metis offers data science training via 12-week full-time immersive bootcamps, part-time online bootcamp prep courses, and corporate training programs, with campuses in Chicago, New York, San Francisco, and Seattle. The Metis Data Science Bootcamp is designed and taught by industry practitioners and provides students with on-site instruction, and access to speakers, mentors, events, and job support. Graduates will be comfortable designing, implementing, and communicating the results of a data science project, will grasp the fundamentals of data visualization, and will get exposure to modern big data tools and architecture such as Hadoop, Hive, and Spark. Successful Metis alumni will have skills in Python, Bash, algorithms, linear regression, machine learning, NLP, databases, and interactive data visualization. The data science curriculum is delivered through project-based, hands-on, collaborative learning.
To apply for the Metis Data Science Bootcamp, applicants need to have experience with programming and statistics, and complete 25 hours of academic pre-work. Metis offers a free, self-paced Admissions Prep course for those who need to brush up on their linear algebra, calculus, probability, statistics, and Python skills. Metis is looking for students eager to get their hands dirty by learning new technologies and solving real-life problems, and who have the skills needed to secure entry-level jobs in the Data Science field. Metis is authorized to enroll international students with M-1 visas in NYC and San Francisco, which allow non-U.S. students to attend technical and vocational programs in the U.S. International students who are already in the U.S. on an F-1 visa may also transfer to Metis. Veterans may apply to use the Post-9/11 GI Bill® to develop their data science skills at the New York City bootcamp.
Graduates leave fully qualified for data scientist jobs, with placement programs available. Students receive mock interview training, visit company offices, present their projects to employers at Career Day, and have access to an extensive network of speakers, mentors, events, and ongoing career coaching and job placement support.
Recent Metis Reviews: Rating 4.87
Recent Metis News
- How to Land a Data Science Job in Seattle
- February 2019 Coding Bootcamp Podcast
- 2 Years Later: Where are These Metis Grads?
Considering applying to our Data Science Bootcamp but need to build or brush up on your basic skills first? Our Beginner Python & Math for Data Science course was designed for you, the beginner looking for an introduction to the building blocks essential to developing data science skills or forging a new career in the field. This course sets you on the right track, covering everything you’ll encounter during the bootcamp application process. You’ll learn: Basics of Python programming Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra, calculus, probability and statistics Please note, the cost of Beginner Python & Math for Data Science can be applied to the cost of the bootcamp once you apply. We welcome all students looking to brush up on data science basics, not just those looking to apply to the bootcamp. Please visit our website to learn more and don't hesitate to contact us with any questions about Beginner Python & Math for Data Science, the Data Science Bootcamp, or any other inquiries.
- Start Date
- September 23, 2019
- Class size
- Minimum Skill Level
- Absolute Beginner
- Placement Test
More Start DatesSeptember 23, 2019 - OnlineApply by September 23, 2019
- Data Science, Git, Python, SQL, Hadoop, Machine Learning, Algorithms, Data Visualization, Data Analytics , Artificial Intelligence
In PersonFull Time40 Hours/week12 Weeks
- Start Date
- September 23, 2019
- Class size
- New York City, San Francisco, Chicago, Seattle
- We partner with Skills Fund, an innovative financing company that offers financing options for students accepted to our bootcamp. Visit our website to learn more.
- We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. Visit our website to learn more.
- Minimum Skill Level
- Some experience with programming and statistics.
- Prep Work
- Once students are enrolled in the bootcamp, they are granted immediate access to our prework materials, a structured program of 25 hours of academic pre-work and up to 35 hours of set-up is designed to get admitted students warmed up and ready to go.
- Placement Test
More Start DatesSeptember 23, 2019 - SeattleApply by August 19, 2019January 6, 2020 - SeattleApply by December 2, 2019September 23, 2019 - New York CityApply by August 19, 2019January 6, 2020 - New York CityApply by December 2, 2019September 23, 2019 - San FranciscoApply by August 19, 2019January 6, 2020 - San FranciscoApply by December 2, 2019September 23, 2019 - ChicagoApply by August 19, 2019January 6, 2020 - ChicagoApply by December 2, 2019
This course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in our Data Science Bootcamp. You’ll get a well-rounded intro to the core concepts and technologies taught within the bootcamp, including basic machine learning principles and hands-on coding experience. Plus, you’ll put it all to practice through a mini data science project of your own. We’ll cover the following: Data acquisition, cleaning, and aggregation Exploratory data analysis and visualization Feature engineering Model creation and validation Basic statistical and mathematical foundations for data science We welcome all students looking to brush up on data science basics, not just those looking to apply to the bootcamp. Please visit our website to learn more and don't hesitate to contact us with any questions about Introduction to Data Science, the Data Science Bootcamp, or any other inquiries.
- Start Date
- September 9, 2019
- Class size
- Minimum Skill Level
- Students should have some familiarity with basic statistical and linear algebraic concepts. In Python, it will be helpful to know basic data structures.
- Placement Test
More Start DatesSeptember 9, 2019 - OnlineApply by September 9, 2019
76 reviews sorted by:
- Only Applicants, Students, and Graduates are permitted to leave reviews on Course Report.
- Post clear, valuable, and honest information that will be useful and informative to future coding bootcampers. Think about what your bootcamp excelled at and what might have been better.
- Be nice to others; don't attack others.
- Use good grammar and check your spelling.
- Don't post reviews on behalf of other students or impersonate any person, or falsely state or otherwise misrepresent your affiliation with a person or entity.
- Don't spam or post fake reviews intended to boost or lower ratings.
- Don't post or link to content that is sexually explicit.
- Don't post or link to content that is abusive or hateful or threatens or harasses others.
- Please do not submit duplicate or multiple reviews. These will be deleted. Email moderators to revise a review or click the link in the email you receive when submitting a review.
- Please note that we reserve the right to review and remove commentary that violates our policies.
Click here to log in or sign up and continue.
I took the d3.js/data science course at Metis with Mollie Petit.
Mollie was really helpful and positive throughout the course. She provided a ton of resources for us to learn throughout the classes as well as after. I learned a lot both about data science as well as the practical application of d3.js.
The only thing I wish was that we had a bit more time and/or the class was more spread out so as to allow for a slower learning pace.
The course overall was great. Mollie was an enthusiastic, positive teacher who was always available for help. I would highly recommend the class for anyone interested in data science or d3.js specifically.
Prior to enrolling in Metis I was a PhD candidate in a subject matter that is generally not seen as related to data science. While I was confident in my statistics background I had only coded sparingly and was completely new to machine learning concepts. On a whim I decided it was time to leave academia and stumbled upon data science as a career option. After debating whether or not to enroll in a bootcamp or teach myself the curriciulum I quickly found Metis and decided to apply, was accepted, and enrolled soon thereafter.
Having received a PhD I was no stranger to learning and was happy to discover that the Metis program design and curriculum was exactly what I was looking for. It was the perfect combination of fun, knowledge, and rigor. Given that the course is only 12 weeks the pace can be relatively quick at times; that said, I felt confident in the material I was learning and truly engaged in the projects I was delivering. At times I felt stressed, afraid, and overwhelmed that the work I was doing wasn't up to par but was continually validated and supported by my classmates, instructors, program manager, and career staff. And for my final project I was able to create an app that combined my PhD expertise with data science and was elated to find merging the two fields was a relatively easy task.
Within about a month after I completed the bootcamp, with the help of the career team, I had multiple job interviews under my belt and received a job offer as a Senior Data Scientist. I can't say enough good things about the careers staff both on site and around the country. In my experience, they were constantly on my side on my job hunt, during negotiations, and even after I accepted the offer.
Without a doubt I am confident that Metis was the right choice for me. While I'm certain I could teach myself to code and some overarching machine learning concepts, I found the classroom experience to be invaluable for me. The opportunity to engage with peers, ask questions, and of course the career support could not be self-taught. If you're on the fence about whether or not Metis is the right choice for you I strongly suggest that you take the leap!
Metis is an absolute gem. The bootcamp was an amazing experience and extremely worthwhile. I felt like I got more out of it than any other educational program I've been in.
What made Metis stand out for me was the support that students received at every step of the way. From the coursework, to the projects, to career help- Metis truly has every student's back. It feels amazing to know that you have someone to turn to who will actually help (or try very hard even if they don't know how). The focus on employability is also very refreshing. It seemed at times that Metis was more urgently trying to get us employed than we were- which I loved! Like a pushing parent- it was what we all needed.
My thoughts in summary: the coursework leaves your thoroughly prepared for a position in data science, the speakers introduce you to an amazing array of applications and directions to head in after the course, and the career help is extremely thorough and personal.
I'm a fulltime software engineering manager with 3 kids. It's challenging to find time at home to level up on a new language so every couple of years I look for a short-term night class to force it. I maintain a metrics pipeline at work and I chose D3 because I was looking to take my visualizations to the next level.
My first impression is that Metis has a very high bar for instructors. This course was taught by Michael Freeman who is a University of Washington professor and a widely recognized expert in the data visualization community.
His creds: https://ischool.uw.edu/people/faculty/mikefree
Michael is someone who can write 300 lines of D3 from memory in 10 to 15 minutes while verbally explaining every detail to the class along the way. By the end of the 15 minute session he's manipuated a huge dataset into a beautiful visualization, answered all of your questions along the way, and taught it in a way where *everyone* in the class could start working on in it in their next lab. For me the teacher makes the class. By the end of the course I felt like it was money well spent.
I am happy to say that I got a lot out of this course -- not only in knowledge and practical application but in inspiration and critical thought. In my experience this class was successful in what it set out to accomplish and I would very much recommend it to a friend or colleague.
It is important to note that the origin of my praise is the teacher himself, Kevin Quealy. His approach to teaching was interactive, casual and paced to maintain the inclusion of those who quickly understood as well as those who needed a bit more time to comprehend. I found myself on both sides of the spectrum throughout the course and felt confident that my questions would be addressed.
I recently finished the Metis Introduction to Data Science class in NYC and I have nothing but good things to say about it. I have been interested in Data Science for a while so I decided to go to a Metis meetup where they went over the curriculum of the class. I found it very interesting but what sold me was the teacher, Sergey Folgelson. He is an excellent and energetic teacher.
The class is intense and moves quickly. At the time of this review it runs every Tuesday and Thursday from 6:30pm to 9:30pm. You may be tired after a long day of work but Sergey will wake you up. There will be exercises thrown in at different portions of the lecture. You will learn a lot if you put in the work. I found that reviewing the notebooks after class on my own and completing the exercises really helped me retain the information. If you expect to just go to class and not do any homework then you might not get much out of it. As with most things you learn by doing.
For me it was a perfect introduction to the field and just made me want to learn more. I loved it so much I applied to the 3 month intensive.If you work with data and are curious about what all the fuss is about Data Science then I cannot recommend this class enough. Best investment I have made in a long time.
I completed the Metis Data Science Bootcamp in SF. There are a lot of skills taught at Metis, but my main take way skills were python programming, building machine learning models, and using AWS (EC2, S3). Post bootcamp career help (mainly via slack) was extremely useful. After 6 grueling months job hunting, I was able to land a job as a Data Scientist at Roche. I still talk to Metis alumni via slack to ask questions and/or answer questions. I definitely recommend checking Metis out!
I completed the data science bootcamp at Metis 2 weeks ago, and I am already missing the rigor and flow that I had gotten into. It is no doubt an intensive program, but the way Metis has structured it, you kind of start loving and enjoying the hard work. These are some of the highlights from my experience:
- The pair programming challenge at the start of each day pumps up your brain in the morning. This also gives you a chance to work with different smart people from the class every day.
- The lectures after that helps you learn a new topic.
- The longer lunch time (1.5 hrs) helps you catch up on some work, or just chat and interact with your peers.
- The investigative presentations that students give after lunch are also very interesting. Knowing your turn will come forces you to think about new and interesting topics - research them and present when its your turn.
- The practice time in the afternoon gives you lot of time to work on your projects and interact with the instructors and TA's one on one.
- The weekly guest lectures give you an insight into the real world. You get to meet real data scientists from different industries, know their stories, how they work and and build networks.
- The project presentations at the end of the weeks/end of every other week were the most interesting part. While you get to experience presenting and sharing your projects with the rest of the class and get feedback from the instructors, you also get to enjoy the projects built by others and overall it becomes an enriching experience.
I just graduated from Metis on April 7, 2017. Today is April 12th and I have already had a total of 5 interviews with 3 different companies - I have 3 more interviews with 3 more companies scheduled in the next two days. If it sounds too good to be true, you might be right. There was a lot of hard work getting to this point. But there is no doubt in my mind that I couldn't have gotten here without the help of everyone at Metis. Let me break down the what I think are the most important reasons to attend Metis:
What you will learn
- Data science is massive. Machine learning is massive. You will actually spend most of your 12 weeks learning about how little you actually know. It's not until the last few weeks that you're able to look back and realize how much you learned. More importantly, you will know the things that you haven't learned yet. Metis sets you up to continue learning and growing for years to come. Before I attended Metis, I had an inkling of what Machine Learning is. Now, I am a full blown addict and couldn't be happier. I didn't even know 100% that it was "what I wanted to do", but now I can't imagine it being any other way.
Who will instruct you
- First off, Metis hires kick ass Senior Data Scientists to be your instructors. Every single one of them has an amazing background and a ton to offer you. The diversity of their team is really astounding and the domain expertise that instructors have, whether its from consulting, nuclear physics, banking, etc, all weaves its way into data science. My instructors really showed me what a wide open playing field Data Science is. Now that I've graduated, I couldn't be happier to have great mentors, contacts, and friends.
Who you will be in the trenches with
- Everyone who is accepted to Metis is up to snuff. Your first week will inevitably be trying to gauge where you are at with other students and battling Impostor Sydrome, but the bottom line is that everyone there is there because they chose to do something different. I don't want to overtalk it, but attending Metis is a life-altering decision and you will always share that special bond with the people in your cohort. Not only will you spend hours and hours and hours together working on challenges and projects, but on a deeper level you know you all wanted something different and better for yourselves. That's a solid bedrock to build lasting relationships.
So what did I leave out? Amazing career workshops, guest data scientist speakers almost every week, building a rock star portfolio of real-world problems, networking events, career day, food and drinks (sometimes but not always), and on and on and on. I didn't want to focus on the career aspect because honestly, if you do the work, if you attend the workshops, if you listen to your career advisor (shout out to Ashley!!), it will happen for you. Are there any downsides? Yes. Did I mention that there is a lot of hard work involved? Metis is a full-time commitment. And when I say that, I mean it. You will eat, sleep, and breath data science. You will bleed algorithms and you will sweat data and you will love it.
I just graduated from the 1st cohort of the Chicago Metis Data Science Bootcamp last week, and I am already getting interviews for these great Data Science positions that I would not be qualified for without the going through Metis at all! The 12 weeks were intense and sometimes even brutal, but I honestly could not have done this much on my own. We learned to code in Python, statistics related to Data Science, supervised and unsupervised machine learning algorithms, and even did 5 projects from collecting data, building models, to presenting the analysis in front of a large group of audiences in just a short period of time. The instructors cared very much about each student's success so we got a lot of support. The Metis staff, especially our career advisor Ashley, were also super helpful to ensure that we would land our dream job successfully after the Bootcamp. We would spend the time to polish our resume, practice interviews, network with companies so that we are ready for the real challenge after the Bootcamp. Overall, I highly recommend Metis to anyone interested in switching career path to Data Science!!!
Overall, I really enjoyed the Metis Data Science Bootcamp experience! I came away from the program with a more well-rounded skillset that gives me a starting point for solving data science problems and additional reach-back to a network of other data scientists. I highly recommend checking out Metis if you’re interested in data science!
If you're interested in more of my detailed thoughts on the Metis experience, including the people, curriculum, location, and resources, check out this post on my blog.
I loved it.
The instructors were really really good, and I had a lot of fun learning all that material. The projects are well structured, and the syllabus is a very good overview of what happens in many (well, at least mine) data science companies. The coursework was a good mix of learning new topics, i.e. lectures, and hands-on work on programming challenges, projects, etc.
I had full career support throughout my job search, even after I graduated from the bootcamp, and I definitely couldn't have found my awesome job without taking this course.
I was part of the spring cohort at Metis Data Science Bootcamp and absolutely loved it. Everyday at Metis followed a similar schedule. We did pair programming in the mornings, followed by lectures, followed by coding. Over the 12 weeks we went through the basics of statistics, data science and data engineering, good programming practices, interview prep and much more. The instructors Bo Peng and Aaron Schumacher were both very experienced in the data science field and that wealth of knowledge definitely shown through in their lectures and their ability to field pretty much any question we could think of between the two of them. I also really appreciated all the assistance we got in the job hunt both in the application process. Lastly, I really loved my cohort. They came from such diverse backgrounds that everyone really added and brought value to the whole experience.
Thanks to the bootcamp, I was able to find work within 2 weeks and am now working as a Data Scientist making a 6-figure salary doing what I love!
This is a review for Metis Data Science Bootcamp (NY).
As the title said it all, I think taking Metis Data Sciece Bootcamp is the best decision I ever made. Instead of spending $100,000 and 2 year of your life taking a master of data science in school, Metis helps you become a data scientist in 3 months and $88,000 less.The bootcamp is intesive (which bootcamp isn't?), but they do make sure you get the best out of the 3 months with them. I have never been in and school/class where I learnt so much in 3 months. I went from knowing nothing about python to building app by the end of the bootcamp.
The instructors are extremely nice and helpful, and super knowledgeable. They was able to answer all (seriouly, all) of my questions. Even on weekend, you will be able to ask them questions, and have the answer some time instantly.
The job assistance is amazing. They will help you networking, fixing your email, your cover letter, anything... you name it. And the job assisstance goes well beyond the 3 months bootcamp, Metis talent team will help you until you get a job. They are very amazing.
The bootcamp also have a lot of fun activites, thanks to our lovely coordinator.
All in all, it was an amazing experience.
The dedication of Metis' management, administrative, teaching and talent placement staff towards the career development and well being of the students/alumni never fails to amaze me. They deserve an A+ for their efforts in all aspects of program.
One of the best personal growth, and educational experiences of my life. The instructors are incredibly dedicated to the success of their students, and are seasoned experts and practicioners in the Data Science field. If you attend this course you will be among a very diverse cohort of students from wide ranging professional, educational, and cultural backgrounds. About 1/3 of our cohort had Phd's. Another 1/3 were fresh out of undergraduate with degrees in mathematics or comp sci. The remaining 1/3 had left their jobs at finance or tech startups to deepen their knowledge in the field. You can be certain that every student there will be incredibly intelligent and driven to succeed. You will make great friends, build contacts in the community, and will get plenty of assistance and advice in the hiring process.
That being said, this is not for everyone by any means, and there are a few very important considerations to keep in mind before deciding on whether this course is right for you:
- This is not college
- Your success will not be measured in grades or a diploma, but rather in how well you understand the material, and whether or not you'll be able to walk out of Metis ready to apply the new knowledge.
- Your skill level, competence, and employability in Data Science upon graduating is entirely on you. If you aren't interested or capable of fully immersing yourself in the course in and out of class, practicing coding and wrangling on your own time, regularly staying up late reading anything and everything related to the material, or proactively seeking assistance or advice from instructors, students, or members of the data science community - don't bother.
- 3 months is not a long time
- You will not be a data science master in 3 months.
- Becoming proficient at the industry standard data science toolkit is like anything else - playing guitar, learning Spanish, etc. You need to commit to practicing constantly, or you simply will not build upon or retain the skills.
- Every hour of every day counts over the 12 weeks. Make the most of your time.
- Be prepared to continue practicing after graduation. At this point, it's all on you. If you can't commit to practicing and staying engaged after leaving, you will forget this stuff fast.
- Phd's and quantitative backgrounds may not be necessary for becoming a data scientist, but it certainly helps - especially in the job hunt.
- Once on the job search you will quickly realize that the expectations of data science applicants are exceptionally high.
- The data scientist is still a very coveted profession and in spite of the increasing demand, companies are still incredibly selective about who they'll even consider. There may not be an unlimited supply of Phd's out there with machine learning and database skills, but there are definitely enough for Google, Facebook, Apple, etc.
- Ultimately, the Data Scientist archetype at the moment seems to be someone who is a master in their field, extremely good at math, and very competent programmers. It is not a position for beginners. Any level of expertise, research, or advanced academic background you have will be important.
- Don't go into the course cold turkey
- Practice ahead of time. Do the pre-course work. All of it.
- I would highly suggest learning basic SQL before taking this course if you don't know it already.
I took a semester off from college my junior year to do Metis and while I did have a few small issues with the bootcamp, my overall experience was very valuable and ultimately led to an internship + full-time job offer in data science.
My cohort was full of very bright and motivated students which really enhanced my experience because many of my evenings were spent coworking and bouncing ideas/concepts off others. Metis does a good job filtering via interviews for students who will benefit the most from the program. I've also got a great network now of data folks as many from my cohort have gone on to awesome data jobs at companies like Google, Apple, Nike, Genentech, and IBM. That said, doing the bootcamp alone is nowhere near enough to land a serious data science job. Most who I know, spent an additional 3-9 months reviewing, studying, taking on contract work, networking, and interviewing after the conclusion of the bootcamp before hitting their payoff.
Our two instructors (Debbie & Joe) did a really good job for such an intense program. Joe who at the time was teaching his second cohort is one of the best teachers I've ever had the pleasure of learning from. He has immense talent for explaining technical concepts and theory in a way that is simple and clear, and is amazing at addressing the very core of any followup questions. He was invested into the program and often stayed past 5pm, sometimes up to 7-8pm on the days leading up to a project deadline. Debbie was great as well, but came from a different background. She was forced last minute to teach our cohort, and thus had to deal with moving to SF from the east coast at the start. While she was also great, I would have preferred there be more organization so that our second instructor could be fully prepared for what feels at times like a 12-week sprint.
Resources to review after a bootcamp like this to get a data science job:
- Learn OOP in Python using any online resource + do a full programming interview book
- Andrew Ng's Intro to Machine Learning course (even better if you review before the bootcamp)
- Andrew Ng's Deep Learning Specialization (if you want to go into more heavy ML/DL)
- Hands-On Machine Learning with Scikit-Learn and TensorFlow (O'Reilly book that reviews a lot of the bootcamp's material)
- Fast AI's MOOC
- All of Statistics - A Concise Intro to Statistical Inference, 20th Ed.
- Ian Goodfellows "Deep Learning" (if you want to go into ML research or grad school)
- Practice tools like SQL, Flask, Spark on your own
I attended the data science bootcamp at Metis in summer 2017. I was from a very different major gearing towards learning more on data analytics, thus in transition of career direction and expertise field at that time. Attending Metis has played a key role in terms of providing me very proactive education to accomplish the transition in such a short period of time. I truly learned a lot in many aspects from the education itself, how to really go out there and interact in the data science society/community, and last but not least how to efficiently present myself to the job market. I'd humbly like to say that I'm glad I decided to learn from Metis, which I believe ultimately made me able to currently work as a data scientist in the competitive industry.
When deciding to enroll in a bootcamp, spending focused time on building skills and a portfolio are the draw, but really your biggest long-term benefit will be the network. With Metis, I have nothing but great things to say about the community. There's a culture of collaborating and learning-by-doing in the classroom. I loved taking three months to surround myself with smart people from diverse backgrounds and areas of expertise. I chose Metis primarily because of its focus on rapid deliverables and that I would walk away with a portfolio of projects to speak about with employers. But I've been amazed at the strength of the alumni community and don't know how I would begin to manage a job search without it.