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 covers Python, Bash, algorithms, linear regression, machine learning, NLP, databases, and interactive data visualization. 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. The data science curriculum is delivered through project-based, hands-on, collaborative learning and Metis provides students with on-site instruction, and access to speakers, mentors, events, and job support.
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 across all U.S. campuses, which allow non-U.S. students to attend technical and vocational programs. 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 4.9
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Start Date None scheduled Cost $750 Class size 20 Location OnlineConsidering 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.
Minimum Skill Level Absolute Beginner Placement Test No Interview No
- Data Science, Data Visualization, Data Analytics , Business Intelligence, Artificial Intelligence, SQL, Python, Machine Learning
In PersonPart Time
Start Date None scheduled Cost N/A Class size N/A Location New York City, San Francisco, Chicago, Seattle, OnlineMetis also provides corporate training to organizations invested in getting the most out of their data. Visit thisismetis.com/corporate-training to learn more.
Minimum Skill Level N/A Placement Test No Interview No
- Data Science, Git, Data Visualization, Hadoop, Data Analytics , Algorithms, Artificial Intelligence, SQL, Python, Machine Learning
In PersonFull Time40 Hours/week12 Weeks
Deposit N/A FinancingWe partner with SkillsFund, an innovative financing company that offers financing options for students accepted to our bootcamp. Visit our website to learn more. Scholarship We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. We also accept GI Bill® benefits at our NYC campus. Visit thisismetis.com 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 Yes Interview Yes
More Start DatesMarch 30, 2020 - Online Apply by February 24, 2020March 30, 2020 - New York City Apply by February 24, 2020March 30, 2020 - San Francisco Apply by February 24, 2020March 30, 2020 - Chicago Apply by February 24, 2020
Start Date None scheduled Cost $750 Class size 20 Location OnlineThis 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.
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 No Interview No
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- Data Science Bootcamp- 4/20/2017Pallavi • Graduate • Course: Data Science Bootcamp • Campus: New York City
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:1) Structure - It takes a few days to get used to the structure but once you do, you realize how powerful it is. Every thing they have planned in the day helps you learn something:
Homework/Challenges!. - Yes, expect this. While sometimes optional, the exercises helped solidify your understanding of topics covered in class.The structure of the program was the best part for me.2) Staff support - I think the instructors are the most important players of any education system. We had very good instructors which complimented each other by being stronger in different areas. I have spent hours with my instructor Julia during practice time. Everyone was always available to help - the TA's, instructors, program manager.3) Resources - Today, a simple search on anything related to data science turns up hundreds of hits. The curated content was awesome and helped us get the best possible detail on a given topic. They also had clear instructions on setup part for git, aws etc. which was great. The alumni slack channel is another amazing resource.4) Career Support - They have amazing career support and are genuinely invested in helping everyone find their dream job. I enjoyed the career support sessions we had during the class. However, I found that we spent more time on the final project presentation than I would have liked. Given the short amount of time we had to cover all the important topics, I would have liked to spend more time with the instructors to learn/practice more about the algorithms than preparing for the final presentations.All in all - its a great course and I am very happy I went for it!
- 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.
- 12 weeks of Data Science @ Metis- 4/12/2017Galen Ballew • Data Scientist • Graduate • Course: Data Science Bootcamp • Campus: Chicago
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.
- What you will learn
- Life changing experience!- 4/12/2017Tiffany Li • Student • Course: Data Science Bootcamp • Campus: Chicago
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!!!
- Data Scientist- 1/2/2017SS • Graduate • Course: Data Science Bootcamp • Campus: New York City
- Great experience- 7/13/2016Max Melnick • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- Data Science Bootcamp- 8/12/2015Emmanuele Salvati • Data Scientist • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- Awesome Data Science Bootcamp!- 8/11/2015Brian Kim • Data Scientist and Web Engineer • Graduate • Campus: New York City
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!
- Data Science- 8/8/2015Anonymous • Research Analyst • Course: Data Science Bootcamp • Campus: New York City
- Best decision of my life.- 8/3/2015Anonymous • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- Data Science- 7/31/2015Anonymous • Course: Data Science Bootcamp • Campus: New York CityI enjoyed the bootcamp immensely. The teachers were very helpful and classmates were extremely nice. Metis also has a great HR team which helps students find jobs and prepare for interviews, etc. At the end of the bootcamp, Metis hosts a career day where each student has an opportunity to showcase their best work and meet prospective employers.
- Review of Metis Data science boot camp- 7/31/2015Revanth Reddy Garlapati • Data Scientist • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- Positive experience- 2/17/2015Anonymous • Graduate • Course: Data Science Bootcamp • Campus: New York CityFor me, Metis was a positive and fun experience with a great collaborative environment and knowledgeable instructors. I personally learned a lot coming from someone with less computer science experience. I believe it did help me land my current data scientist position in terms of confidence in the field, d3 experience, and having data science projects to show. I would recommend the program especially if you are looking for a data science position that doesn't require a PhD. They do put you in contact with a lot of hiring partners as well.
- Metis Data Science- 1/31/2015Anonymous • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- This is not college
- 1 Year After the Program- 12/12/2019Anonymous • Data Scientist • Graduate • Course: Data Science Bootcamp • Campus: San Francisco
Having worked as a data scientist for a little over a year, I can say with full confidence that Metis has been an extremely valuable experience.
I came into Metis without any technical work experience. I graduated with a BA in Economics and worked in a nontechnical role for 2 years immediately after graduating college. I was super unengaged at my first job and started taking classes in programming and data science in my free time. After a year of taking these classes part-time, I decided I wanted to make the career switch to data science. Metis stood out the most to me since you get the opportunity to work on 5 different projects under the guidance of data science professionals, along with receiving career support.
Though the program is only 12 weeks long, you definitely learn a lot. The instructors are very involved and really care about your learning. I was super lucky to have such sharp and collaborative cohort mates, which made the program even more rewarding. You also receive excellent career support during and after the bootcamp until you land a job. Since I was coming from a nontechnical background, I made sure to follow the advice from our career advisor as much as possible (Thank you, Andrew!). I eventually got my current role through a referral from a Metis alum. Even though it's been more than a year since I completed the program, I still refer to some of the material from class and keep in touch with the Metis community.
- Complete the pre-work before starting the bootcamp
- Take a class on Python before the bootcamp if you do not have a computer science background (I recommend the Introduction to Python Programming edX courses from Georgia Tech)
- Follow the career advice and network as much as you can
- Collaborate with your cohort mates
- Continue to sharpen your skills even after the bootcamp
- College Student's Perspective- 1/7/2019Anonymous • Graduate • Course: Data Science Bootcamp • Campus: San Francisco
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
- Associate Data Scientist- 10/18/2018Anonymous • Graduate • Campus: San Francisco
- Metis Summer 2017 cohort review- 10/18/2018Anonymous • Data Scientist • Graduate • Course: Introduction to Data Science • Campus: San Francisco
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.
- Mixed feelings, but more leaning towards NO- 7/4/2017Anonymous
- Amazing network- 12/25/2016Anonymous • Graduate • Course: Data Science Bootcamp • Campus: New York City
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.
- just okay...- 12/4/2016Anonymous • Campus: New York City
I was part of the earlier cohorts for Metis and found that they were still trying to smooth out their curriculum. I found the job assistance to be substantially lacking. They have career partners but none of them had hired former Metis alum which made me question their 'participation' in the bootcamp or if it was false advertising to potential students. I know some students have gone off to do awesome things, but I would say that this is the exception rather than the norm.