metis-logo

Metis

Chicago, Chicago, New York City, Online, San Francisco, Seattle, Washington

Metis

Avg Rating:4.88 ( 111 reviews )

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 Live Online. 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 4.88

all (111) reviews for Metis →

Recent Metis News

Read all (48) articles about Metis →
  • Beginner Python and Math for Data Science

    Apply
    Data Science, Python
    OnlinePart Time6 Hours/week6 Weeks
    Start Date None scheduled
    Cost$750
    Class size20
    LocationOnline
    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.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelAbsolute Beginner
    Placement TestNo
    InterviewNo
  • Data Science Bootcamp

    Apply
    Start Date None scheduled
    Cost$17,000
    Class size22
    LocationNew York City, San Francisco, Chicago
    Metis's 12-week accredited data science bootcamp is an immersive program designed to give you the skills and connections you need to launch a career in data science. Career Advisors are dedicated to helping students and grads get hired, while Sr. Data Scientists bring real-world experience to the classroom and guide students as they use real data to build a 5-project portfolio. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science workforce. Each highlights the skills needed in every “facet” of data science: project design, data acquisition and storage, tool selection, analysis, interpretation, and communication. In succession, the projects deepen in both difficulty and independence. Upon graduating, students have completed rigorous training in machine learning, programming in multiple languages (Python, Unix, JavaScript), data wrangling, project design, and communication of results for integration in a business environment. Parallel to this core classroom work is a supporting careers curriculum created and implemented by our Careers Team, which works with each student to secure employment rapidly after graduation with a compatible employer. Our grads go on to work at some of the top companies in their respective markets, including but not limited to Capital One, Facebook, GrubHub, Starbucks, Spotify, NBA and more. We're proud to help our grads land their dream job in data science and our grads are proud to be #MadeAtMetis. Make sure to visit our website and testimonials page to read more. Welcome to Metis!
    Financing
    DepositN/A
    Financing
    We partner with SkillsFund, an innovative financing company that offers financing options for students accepted to our bootcamp. Visit our website to learn more.
    ScholarshipWe 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.
    Getting in
    Minimum Skill LevelSome experience with programming and statistics.
    Prep WorkOnce 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 TestYes
    InterviewYes
  • Introduction to Data Science

    Apply
    Data Science, Git, Python, Machine Learning
    OnlinePart Time6 Hours/week6 Weeks
    Start Date None scheduled
    Cost$750
    Class size20
    LocationOnline
    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.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelStudents should have some familiarity with basic statistical and linear algebraic concepts. In Python, it will be helpful to know basic data structures.
    Placement TestNo
    InterviewNo
  • Online Data Science Bootcamp

    Apply
    Start Date None scheduled
    Cost$17,000
    Class size15
    LocationOnline
    Metis's 12-week accredited online data science bootcamp is an immersive program designed to give you the skills and connections you need to launch a career in data science. Career Advisors are dedicated to helping students and grads get hired, while Data Science Instructors bring real-world experience to the classroom and guide students as they use real data to build a 5-project portfolio. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science workforce. Each highlights the skills needed in every “facet” of data science: project design, data acquisition and storage, tool selection, analysis, interpretation, and communication. In succession, the projects deepen in both difficulty and independence. Upon graduating, students have completed rigorous training in machine learning, programming in multiple languages (Python, Unix, JavaScript), data wrangling, project design, and communication of results for integration in a business environment. Parallel to this core online classroom work is a supporting careers curriculum created and implemented by our Careers Team, which works with each student to secure employment rapidly after graduation with a compatible employer. Our grads go on to work at some of the top companies in their respective markets, including but not limited to Capital One, Facebook, GrubHub, Starbucks, Spotify, NBA and more. We're proud to help our grads land their dream job in data science and our grads are proud to be #MadeAtMetis. Make sure to visit our website and testimonials page to read more. Welcome to Metis!
    Financing
    DepositN/A
    Financing
    We partner with SkillsFund, an innovative financing company that offers financing options for students accepted to our bootcamp. Visit our website to learn more.
    ScholarshipWe 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.
    Getting in
    Minimum Skill LevelSome experience with programming and statistics.
    Prep WorkOnce 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 TestYes
    InterviewYes
  • Python for Beginners

    Apply
    Data Science, Python
    OnlinePart Time4 Hours/week3 Weeks
    Start Date None scheduled
    Cost$299
    Class size20
    LocationOnline
    Are you thinking about applying to our Data Science Bootcamp, but need to build your Python skills first? Our Python for Beginners course was designed for you - the beginner ready to learn the fundamentals of the world’s most popular programming language for data science from scratch. During this 3-week course, you will learn: -Introduction to programming in Python -Common basic data types and their properties -Logical operations, loops, functions and more Please note, the cost of Python for Beginners can be applied to the cost of the bootcamp once you apply. We welcome all students looking to learn Python fundamentals, 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 Python for Beginners, the Data Science Bootcamp, or any other inquiries you may have.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelAbsolute Beginner
    Placement TestNo
    InterviewNo

Shared Review

  • Scott  User Photo
    Scott • Data Scientist, Computer Vision Engineer • Graduate Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    The Decision

    Deciding to transition my career from mechanical engineering and robotics to pursue data science was one of the hardest decisions I've ever made. Attending Metis made that process worlds easier than it could have been, however, and I haven't regretted it for a second.

    Research

    Before enrolling in Metis, I spent months considering all of the options available to me. I researched other local data science bootcamps like Galvanize and General Assembly, as well as online platforms like DataCamp, Dataquest, Udemy, Udacity, and others. I studied, I toured campuses and talked with instructors, career advisors, current and former data science students. I did my best to weigh all the options and make an informed decision, and the process led me to select Metis as the best option available to me to help me successfully transition from where I'd been to where I wanted to be.

    Preparation

    For personal reasons, I actually deferred starting at Metis by about 6 months after I applied, and in the grand scheme I'm glad that I did. Metis allows students enrolled in the full time data science immersive program to also take a part time online course of their choice for free, so during those 6 months I also took their Statistics for Data Scientists course, which was a great warm up for the challenges to come. I also used this time to complete the Data Scientist curriculum offered by dataquest.io, which I found to be an overall well designed and nicely presented overview of just about every topic that's covered by the Metis DS immersive (this took me about 5 months to complete, dedicating ~10 hours a week to the study on nights and weekends). This was a lot of upfront work, but quitting my job to move off in an uncertain direction seemed like a big risk so I took it seriously. This allowed me to gain a nice foundation of knowledge to build off of while still saving up for an extended period of unemployment, and definitely paid dividends once the bootcamp started.

    To anybody thinking about enrolling in a DS bootcamp down the line, I strongly recommend completing an online course first, both to make sure you actually like the work and also to familiarize yourself with the content so you'll be even more successful in the bootcamp experience.

    The Bootcamp

    The Metis Data Science Immersive was great. My cohort had a particularly small class size, only 6 students with 2 full time instructors, 2 occasional visiting instructors, and a very talented and dedicated career advisor. The staff exceeded my expectations on a regular basis. They're knowledgeable about a wide range of material and are passionate about teaching their students the skills they'll need to succeed. The program is specific to data science, but designed to be flexible enough to approachable and valuable to students coming from a wide range of backgrounds and abilities. The material is taught with a nice combination of theoretical background and practical application, and the project-based nature of the course really makes the level of challenge a function of the student's appetite and ambition. Each project is as hard as you want it to be, you get out what you put in, and your peers and the instructors are there to help and support you every step of the way.

    In terms of the level of challenge--everybody's experience and background are different, so I can only speak for myself--for me, it was challenging, but manageable. More than anything, it was intense. For the 12 weeks that the course lasted, I largely put the rest of my life on hold and worked ~80 hours/week on my projects and the curriculum. I was still able to maintain at least 6 hours of sleep most nights, but I was definitely dreaming about my work. The bootcamp was an endurance marathon, for sure. Not quite as bad as the worst parts of college, but close.

    But then it ended and I was on the other side. Not only had I shored up my working knowledge of supervised and unsupervised learning, Pandas and scikit-learn, the difference between CNNs and RNNs and LSTMs and more, how to detect overfitting or design a metric or select a model, how to scrape data from the web or deploy a model in a web app--I'd actually done all of these things, and had full projects complete with code, presentations, and blog posts forming a highly visible portfolio that I could use to demonstrate to future employers that I actually know how to do the things on my resume.

    What Comes After

    The bootcamp is only 12 weeks, and much as it's all you can focus on while you're there, it's the means, not the end. I still had to get a job. While I'd saved up enough beforehand to survive an extended job search, I didn't actually want to drain my savings, so I jumped right in. I set a goal of starting a new job within 3 months of finishing the bootcamp and thought about what it would take to get there. I'd heard it was common for it to take 4-6 weeks or more from application to offer, and the common impression I got from talking to bootcamp grads is that you may well end up submitting dozens or even hundreds of applications before you actually get an offer. In short, finding the right fit is a full time job, and even getting your foot in the door enough to have a conversation with a potential employer takes intention, persistence, and a bit of creativity.

    Here, however, is where Metis shines as well. The career counselor, Marybeth, as well as the instructors, were involved and supportive every step of the way, constantly checking in and offering help with everything from resume and cover letter reviews to practice interviews to job referrals and facilitating introductions. As long as you're willing to work, they're willing to help. I took advantage of all of these things and I think they paid off. I aimed to apply to 10 new jobs per week, and though I fell short of that goal, aiming high kept me active. It was slow getting traction, but eventually the pace picked up and I found myself juggling calls with recruiters, scheduling interviews, and having to meticulously track each job application in a spreadsheet to keep it all in order.

    I feel fortunate to say that, somehow, my job hunt went pretty much exactly according to plan. 7 weeks after finishing at Metis, I accepted a job offer as a data scientist with a focus in computer vision. I'm genuinely excited about both the work and the company, and the skills and support I got from Metis were instrumental in getting me here. Huge thanks to everybody at Metis for all of the help, and best of luck to everybody out there considering a path like this for yourself!

  • Elena Dubova  User Photo
    Elena Dubova • Graduate Verified via GitHub
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    What makes a bootcamp great is the team who teaches and organizes it. Metis has an outstanding team of educators, who support and inspire you throughout an intense cycle of 5 projects. Career team is very professional, motivated to help, and is in possession of great deal of tools and connections to support you in career search. Wherever you are, this bootcamp pushes you to the next level. Curriculum is rigorous and challenging, but at the same time - a ton of fun. It is one of the most rewarding time and money investments I’ve made – absolutely worth it. 
  • Jackson  User Photo
    Jackson • Student • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    This bootcamp is an incredible mix between project-based learning and day-to-day lectures. The instructors were all incredibly interested in the students succeeding and understanding the material taught in the bootcamp. They always answered student questions thoroughly and thoughtfully, and spent the time to pay attention if students were with them, even in a virtual setting.
    Towards the middle and end of the bootcamp, career services really kicked in and helped with resumes, cvs, and mock interviews. Of course it's up to each student to reach out to employers and get connected, career services dishes out helpful advice that is helping me in my job search.
    I honestly highly recommend this bootcamp for those that want an intense 12 weeks of learning data science tools and concepts.
  • E. T. Drumm  User Photo
    E. T. Drumm • Student Verified via GitHub
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    The only issue here is that the instructors tend to be so good that they end up rotating through to other jobs, but that didn't affect me. I got some really quality instructors who were super helpful and personable and I really enjoyed my time.
  • Good Overall
    - 5/25/2020
    Binh  User Photo
    Binh • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    N/A
    I took the Metis Beginner Python and Math for Data Science 6-week course from April to May 2020. The course is a good beginner course, and the instructor/TA care deeply about their students' success and making sure their questions are answered. There is so much material to cover in the course, and sometimes the amount of material can be overwhelming. For myself, it wasn't a big issue because I was already familiar with most of the material going into the course, but I can see other students perhaps becoming disillusioned. 

    I think the course materials, especially what is lectured on, could be more focused and supplementary material could be provided if the student wishes to delve deeper. 

    I found the instructor to be helpful and committed, but I did find her explanations at times to be imprecise, but I don't fault her too much because it's hard to remember all these concepts precisely. 

    The TA was helpful and responded to my questions almost immediately. 

    Overall, I think the course is good, but there are some things that could be polished as mentioned above. 
  • Angela Huang  User Photo
    Angela Huang • Analytics Manager • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    There are so many thorough and thoughtful reviews already here for Metis, so I'll try to keep mine short and sweet.  Metis was the best option for me because I was looking to build out my technical skills (Python, statistics, etc.) to get the job that I wanted.  I tried self studying at first, but had trouble knowing what to focus on and staying motivated.  I moved from Europe to the Bay Area to attend Metis, where I met the most wonderful, intelligent, kind, and diverse group of humans in my cohort, the staff, and alumni.  This is a priceless network that I am still involved with and leveraging, and the people I met are now some of my closest friends.

    The curriculum is thorough and the standards are high, but the instructors, teaching assistants, and your peers are there to support you throughout the program.  This program is what you make of it, so if you put in the motivation, effort, and positivity, you will reap the same in kind.  I'm happy to answer any questions about my personal Metis experience in more detail over LinkedIn, so feel free to reach out!
  • Michael Jordan  User Photo
    Michael Jordan • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    As an Air Force veteran looking to expand my data/tech skillset, I left my previous job hoping to find a program that not only provided a challenging learning environment, but also one that accepted Post-9/11 GI Bill tuition benefits and had experience training and working with veterans. Metis ended up fulfilling these criteria and exceeding my expectations in most ways. 

    Within New York, Metis stands as one of the few data science programs that is approved by the Department of Veteran Affairs for GI Bill funding due to its accreditation by ACCET. The Metis team also has a history of training vets and assisting them in finding employment after graduation (I was one of 2 vets in my cohort of ~20 students), and many of the Metis hiring partners have relatively strong veteran networks. 

    Outside of vet support, the approach to instruction, strength of the instructors (at the NY branch), and alumni network stand out as particular strengths of the program for me. It’s obvious that Metis incorporates many of the teaching techniques of its parent organization, Kaplan, in its approach to data science instruction. The program is almost entirely project based, with emphasis on collaborative learning through pair-programming sessions and blocks of unstructured time to work on projects and interact with TAs/instructors - if you’re serious about learning the material, the program gives you all the resources you need. 

    The instructors and TAs were generally outstanding - all very approachable, knowledgeable, and experienced in interacting with students at different skill levels. I also liked that the 3 instructors each seemed to complement each other in their teaching styles and areas of expertise within data science (I definitely had a personal preference in terms of which instructor I was most comfortable learning from, but being exposed to different styles was a benefit). 

    The alumni network seems particularly strong, with Metis grads at both high profile organizations and smaller start-ups. Generally speaking, there seems to be a generous culture of community/connection for grads. Many seem to remain active on a Metis alumni slack channel and from my recent experience, most have been quick to respond to requests to connect and network for job opportunities. 

    As a final thought, I should point out that my cohort transitioned to online learning for the final 2 weeks of the program due to the COVID-19 pandemic. Overall, the Metis team did a commendable job making the transition as painless/seamless as possible. The quality of instruction remained high and the team was flexible in its approach given concerns/challenges from students. 

    In summary, the program was a worthwhile experience and I’m happy to be part of the Metis community post graduation. Would recommend to anyone considering a data science program. 
  • Excellent!
    - 4/18/2020
    Erik Kristofer Anderson  User Photo
    Erik Kristofer Anderson • Associate Data Engineer • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    I attended the 2020 winter cohort of the Metis Data Science Bootcamp.
    Short version: Excellent!

    Medium version: Excellent but be prepared.

    Long version:
    12 weeks of training for a data science job. Is this possible?

    Yes, kind of. I acquired a data engineer position 3 weeks out from the bootcamp, and I know of at least two cohort-mates who are now employed, one as a data scientist and one as a data analyst. So, with a sample size of three, it's absolutely possible.

    I certainly learned a ton in my 12 weeks at Metis. However, I relied on things I'd learned before the bootcamp to make the training optimally effective. In my case, that was a master's in chemistry from years ago, and a 4-month computer science certificate at Loyola University Chicago right before the bootcamp. 

    Obviously, I won't say you need this exactly, but you do need a certain level of math knowledge and programming ability to keep up. And the more you know in these areas, the more effective the bootcamp will be for you.

    I don't believe it matters where you get that knowledge. Free MOOCs are a good place to start.

    It's worth noting that the rigorous application process selects for people who have, in Metis' view, enough knowledge and skill to pass the program and get a data science job. And I think their view is accurate. Still, I believe you increase your chances of being hired quickly if you know more going into the bootcamp.

    The career support is excellent, just be aware that the careers team is more responsive on an individual basis after you graduate. This isn't a bad thing - you'll be busy during the bootcamp and won't be putting your full attention to the job search until after you graduate - but I wish it had been made clear from the start. I have left that feedback with the bootcamp, so I expect there will be more clarity about that in the future.
    And I'll reiterate that, although the careers advisor was sometimes slow and inconsistent to respond during the bootcamp, they were 100% responsive and super helpful after I graduated - that's why I choose to give 5 stars for job report, despite that caveat.

    The project-based nature of the curriculum is an excellent feature. It's where the rubber hits the road and you learn to use the tools in what is as close as possible to a professional environment. You will come out of the bootcamp feeling comfortable with the standard data science toolkit. And, when it comes to learning Git, there's nothing more instructive than surviving a few Git trainwrecks. (It's a long story - contact me if you're curious).

    Given the current situation (for people from the future, we're in the COVID-19 epidemic), I'd be remiss if I didn't mention that the bootcamp was required to go remote for the past two weeks of my cohort. Luckily, the Chicago branch of Metis had launched an online program at the start of January 2020, so they had ironed out all the kinks by the time the size of their online cohort tripled in week 10 of the bootcamp.

    I mention this because Metis will be remote for a while at least, but I'm confident that it won't hamper them from giving an excellent experience and education.

    If you'd like to ask any questions about Metis or resources to prepare for Metis, please feel free to reach out with a connection request on LinkedIn at https://www.linkedin.com/in/ekand/
  • Molly Liebeskind  User Photo
    Molly Liebeskind • Data Scientist • Graduate Verified via GitHub
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    Overview: Metis exceeding my expectation. The program is designed to provide a holistic understanding of data science including machine learning, programming, statistical analysis, and data communication. Through five end-to-end machine learning projects, I developed skills in data acquisition, database management, exploratory data analysis, supervised and unsupervised learning, data visualization, natural language processing, and much more. The program set me up for a successful career and I received a job offer very quickly after graduating.

    Instructors/support:
    * The instructors are eager to teach and help you understand the material. They offer instruction through classroom lectures, daily coding challenges, and one-on-one projects support. They are always available to dive deeper into a subject in one-one-one or small group conversations as needed and provided ample support to each student.
    * The career advisors ensure you are prepared for your job hunt with workshops, resume support, and one-on-one advising. Throughout the job application and interview process, they help you understand your strengths and provide coaching and opportunities to practice skills that you aren't as strong in.
    * The managing team is very helpful and curates the space for each cohort. With a large open area, ample tables and monitors, and a full kitchen, the space has everything you could need to be successful in bootcamp.

    Preparation: From day one the program is intense and exciting. Prior to bootcamp, I participated in the pre-bootcamp training course to learn python and get a feel for machine learning and statistics. The pre course prepared me great for the bootcamp and set me up for a successful 12 weeks. Additional bonus, the $750 cost for that course is then deducted from the tuition of the bootcamp! 

    I strongly recommend Metis for anyone interested in transitioning to a career in data science. 
  • Data Scientist
    - 3/20/2020
    Jacqueline Kuo  User Photo
    Jacqueline Kuo • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    Metis was an incredible experience, and exactly what I was looking for when I decided to leave my old job: I wanted a stronger statistical foundation in ML concepts, and a portfolio of end to end ML projects to speak to. The curriculum is focused on understanding and implementing ML using Python, and less focused on SQL or data visualization.

    I attribute my amazing experience to the Metis teaching staff and my fellow classmates. Joe, Vinny, and Kim taught my course in New York and made the classes engaging, demonstrated extensive industry and academic knowledge on various data science topics, and showed genuine enthusiasm for helping students learn. I loved learning alongside my classmates who were intellectually curious, happy to nerd out about any sort of data science concept, and brought experiences from a wide range of industries. Some of my favorite parts of the bootcamp were conversations I had with classmates about project ideas and use cases -- I know I'll cherish the friendships made through the bootcamp for many years to come.

    No job search is easy, but I felt equipped and ready to tackle job interviews with the support of Metis career advisors. Jennifer, who leads the careers team, gives direct and honest feedback during mock interviews, allowing you to be successful during the real interviews. However, getting job interviews can be more difficult for some than for others -- it all comes down to one's network and how well one's past experiences align with the job description. While the Metis Alumni Network is large, job opportunities still tended to come from existing networks rather than from the Metis network. For some of my classmates making a larger career switch, it seemed more difficult to get an initial interview for a data-related role.
  • Dan Roth  User Photo
    Dan Roth • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    Metis is a great way to get started in the data industry and is equipped with strong resources for learning data science practices and networking.  I will say the standout strength is the instructors: incredibly friendly, knowledgeable, and well equipped to teach you what you need to know.  There are a few things to keep in mind however.  First, the mileage you get after graduating heavily depends on your work and educational experience before you apply.  If you have no experience in the data industry expect to get a role as an analyst or associate; if you have some related industry experience you may be able to reach for a data scientist role.  However, while most of the students are likely to fit into the former category, the curriculum is very heavy on data science and does not totally adapt well to a majority of analyst roles.  There's just not enough SQL, dashboarding, and other forms of analysis employed.  Curriculum weighs heavily on the machine learning side, which is something that you may be unlikely to encounter leaving the bootcamp.  

    Beyond the learning, I would say the organization overall is something like a 3.5/5.  While there are some standouts, it is obvious some of the career counselors and staff members are better than others and so you have to be careful about who you align yourself with.  The NYC location in particular has the strongest overall staff as it is the base of operations.  However, the local NYC administrator is weak and can be totally out of touch with student needs at times.  Thankfully, higher administration like Jason Moss are exemplary representatives of the organization and serve the students very well.  Just be wary of certain staff members, they are not all equally equipped to deliver the necessary communications and resources that students require.
  • Rob Zhang  User Photo
    Rob Zhang • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    I have nothing but positives to speak of when it comes to Metis.

    The instructors (John, Lara, and Alice) communicate clearly, are very approachable, and have a passion for teaching data science.  Even though the bootcamp is only 12 weeks, by the end of the program you will have a portfolio of projects that you will be confident in sharing with future employers.

    One of the main reasons I chose Metis was due to the harder application process and intensity of the program relative to other bootcamps.  If I was going to commit to diving into this field, I wanted to make sure I was surrounding myself with others who were just as committed, and Metis delivered exactly that.

    The support doesn't end at the bootcamp; our awesome career advisor Ashley Purdy will be with you every step of the job search even months after the official end of bootcamp.  She will help with tweaking your resume, give mock interviews should you need them, and connect you with Metis alum who are working at places you're applying to.  

    The classroom space itself also exceeded my expectations.  In addition to a classroom where lectures are taught, there is a huge working space for both students and alumni to work on their projects or applications, with an abundance of monitors for everyone to use.

    If you have any doubts about joining Metis, schedule a tour with our program manager Caroline Csernus, who will be more than happy to show you around and answer any questions you may have! 
  • Graduate
    - 11/13/2019
    Clodagh Walsh  User Photo
    Clodagh Walsh • Data Scientist, GrubHub • Graduate • Verified via LinkedIn
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Metis exceeded all of my expectations. The instructors were some of the best I have ever had, and were extremely encouraging whenever I had questions (a lot) or doubted my abilities (also a lot).

     

    I loved that each student could focus on their interests and skills by choosing our own project ideas. It allowed everyone to better find their niche & inform on what we want in a job, since Data Science roles are so varied.

     

    I felt really prepared entering the job application process after completing mutliple career-based workshops and 3 different mock interview sessions. And, I got a job from my Career Day presentation at the end of bootcamp. Can't ask for better than that!

     

    I was looking for a program that would help me get to be doing interesting work quickly, and Metis was perfect for that. 

    Feel free to reach out on LinkedIn if you have any questions. I had a bunch before I started, so I understand!

Thanks!