metis-logo

Metis

Online

Metis

Avg Rating:4.87 ( 117 reviews )

Metis offers data science and analytics training via live online immersive bootcamps & courses, part-time bootcamp prep courses, and corporate training programs. The Metis Data Science & Analytics Bootcamps provide specialized curriculums with real-time instruction and interaction with classmates in an online classroom. Designed and taught by industry practitioners, the programs cover Python, algorithms, linear regression, machine learning, NLP, databases, interactive data visualization, and much more. Graduates will be comfortable designing, implementing, and communicating the results of data science or analytics projects, while grasping the fundamentals of their specific career path. The curriculum is delivered through project-based, hands-on, collaborative learning, resulting in a portfolio of projects at the end of the bootcamp that can be leveraged during the interview process.  

Career support primarily occurs during a dedicated Career Week that begins right after each bootcamp ends. This additional week, included in the tuition, provides students with laser-focused attention from Career Advisors while they immerse in career-focused workshops, employer panels, and mock technical interviews. Graduates leave qualified for data science and analytics roles. Metis provides graduates access to alumni resources and career support until they’re hired. The Metis hiring network is over 200 companies strong, including Facebook, Amazon, and Capital One. 

To apply for the Metis Data Science & Analytics Bootcamps, applicants need to have experience with programming and statistics. Prior to starting the program, students must complete 36 hours of academic pre-work. Metis offers a free, self-paced Admissions Prep platform for those who need to brush up on their linear algebra, calculus, probability, statistics, and Python skills, in addition to part-time, online Bootcamp Prep Courses. 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 & Analytics field. 

For students looking to gain in-demand data science and analytics skills on a tighter timeline, Metis also offers Short Immersive Courses. Each lasts two weeks and enables students to learn from elite instructors in a unique, full-time format that culminates in an end-to-end project they can add to their professional portfolio. If you’re curious about the bootcamp experience, these short immersive courses are a great way to experience how it all operates. Students learn in the same immersive format, taught by the same incredible instructors who teach the bootcamps.

Recent Metis Reviews: Rating 4.87

all (117) reviews for Metis →

Recent Metis News

Read all (52) articles about Metis →
  • Beginner Python and Math for Data Science

    Apply
    Data Science, Python
    OnlinePart Time6 Hours/week6 Weeks
    Start Date March 1, 2021
    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
    More Start Dates
    March 1, 2021 - Online
    March 15, 2021 - Online
    March 29, 2021 - Online
  • Data Analytics Bootcamp

    Apply
    Start Date March 22, 2021
    Cost$9,000
    Class size60
    LocationOnline
    Metis’s 6-week Data Analytics Bootcamp is a full-time, live online program designed to provide students of diverse backgrounds with a uniquely rigorous learning environment that helps each begin a new data analytics career. Our bootcamp programs are taught by Data Science instructors with deep industry experience and combine traditional instruction in theory and practice with a project-based approach. Our students apply their new knowledge throughout the program to build a three-project portfolio, using real data, that they can leverage during their job search after graduation. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data analytics workforce. Projects are carefully designed to highlight the skills needed in every facet of data analytics – project design, data acquisition and storage, tool selection, analysis, interpretation, and communication – ultimately culminating in a project portfolio that students can share with potential employers and on their Graduate Directory profiles at the end of the program. Upon successful completion of the program, graduates are awarded a Data Analytics Certificate. They will have completed rigorous training in exploratory data analysis, linear regression and web scraping, project design, and communication of results for integration into a business environment. 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.
    Financing
    DepositN/A
    Financing
    We partner with SkillsFund and Climb Credit to offer accepted students financing options for our bootcamps. Visit our website to learn more.
    ScholarshipWe offer a $2,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. 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 36 hours of academic work is designed to get admitted students warmed up and ready to go.
    Placement TestYes
    InterviewYes
    More Start Dates
    March 22, 2021 - Online Apply by February 22, 2021
    April 19, 2021 - Online Apply by March 22, 2021
    May 17, 2021 - Online Apply by April 19, 2021
    June 14, 2021 - Online Apply by May 17, 2021
  • Data Science Bootcamp

    Apply
    Start Date March 22, 2021
    Cost$14,500
    Class size60
    LocationOnline
    Metis’s 10-week Data Science Bootcamp is a full-time, live online program designed to provide students of diverse backgrounds with a uniquely rigorous learning environment that helps each begin a new data science career. Our bootcamp programs are taught by Data Science instructors with deep industry experience and combine traditional instruction in theory and practice with a project-based approach. Our students apply their new knowledge throughout the program to build a five-project portfolio, using real data, that they can leverage during their job search after graduation. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science workforce. Projects are carefully designed to highlight the skills needed in every facet of data science – project design, data acquisition and storage, tool selection, analysis, interpretation, and communication – ultimately culminating in a project portfolio that students can share with potential employers and on their Graduate Directory profiles at the end of the program. Upon successful completion of the program, graduates are awarded a Data Science Certificate. They will have completed rigorous training in machine learning algorithms and libraries, programming in multiple languages, data modeling and evaluation, project design, and communication of results for integration into a business environment. 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 and Climb Credit to offer accepted students financing options for our bootcamps. 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. 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 36 hours of academic work is designed to get admitted students warmed up and ready to go.
    Placement TestYes
    InterviewYes
    More Start Dates
    March 22, 2021 - Online Apply by February 22, 2021
    April 19, 2021 - Online Apply by March 22, 2021
    May 17, 2021 - Online Apply by April 19, 2021
    June 14, 2021 - Online Apply by May 17, 2021
  • Data Science & Engineering Bootcamp

    Apply
    Start Date March 22, 2021
    Cost$14,500
    Class size60
    LocationOnline
    Metis’s 10-week Data Science & Engineering Bootcamp is a full-time, live online program designed to provide students of diverse backgrounds with a uniquely rigorous learning environment that helps each begin a new data science career. Our bootcamp programs are taught by Data Science instructors with deep industry experience and combine traditional instruction in theory and practice with a project-based approach. Our students apply their new knowledge throughout the program to build a five-project portfolio, using real data, that they can leverage during their job search after graduation. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science and engineering workforce. Projects are carefully designed to highlight the skills needed in every facet of data science – project design, data acquisition and storage, tool selection, analysis, interpretation, and communication – ultimately culminating in a project portfolio that students can share with potential employers and on their Graduate Directory profiles at the end of the program. Upon successful completion of the program, graduates are awarded a Data Science and Engineering Certificate. They will have completed rigorous training in machine learning algorithms and libraries, programming in multiple languages, data modeling and evaluation, data engineering fundamentals, and project design. 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.
    Financing
    DepositN/A
    Financing
    We partner with SkillsFund and Climb Credit to offer accepted students financing options for our bootcamps. 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. 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 36 hours of academic work is designed to get admitted students warmed up and ready to go.
    Placement TestYes
    InterviewYes
    More Start Dates
    March 22, 2021 - Online Apply by February 22, 2021
    April 19, 2021 - Online Apply by March 22, 2021
    May 17, 2021 - Online Apply by April 19, 2021
    June 14, 2021 - Online Apply by May 17, 2021
  • Data Science & Machine Learning Bootcamp

    Apply
    Start Date March 22, 2021
    Cost$18,500
    Class size60
    LocationOnline
    Metis’s 14-week Data Science & Machine Learning Bootcamp is a full-time, live online program designed to provide students of diverse backgrounds with a uniquely rigorous learning environment that helps each begin a new data science career. Our bootcamp programs are taught by Data Science instructors with deep industry experience and combine traditional instruction in theory and practice with a project-based approach. Our students apply their new knowledge throughout the program to build a seven-project portfolio, using real data, that they can leverage during their job search after graduation. Each project is a start-to-finish application of the skills needed to be a well-rounded, competitive practitioner in the data science and machine learning workforce. Projects are carefully designed to highlight the skills needed in every facet of data science – project design, data acquisition and storage, tool selection, analysis, interpretation, and communication – ultimately culminating in a project portfolio that students can share with potential employers and on their Graduate Directory profiles at the end of the program. Upon successful completion of the program, graduates are awarded a Data Science and Machine Learning Certificate. They will have completed rigorous training in machine learning algorithms and libraries, programming in multiple languages, data modeling and evaluation, project design, data engineering fundamentals, and communication of results for integration into a business environment. 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.
    Financing
    DepositN/A
    Financing
    We partner with SkillsFund and Climb Credit to offer accepted students financing options for our bootcamps. 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. 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 36 hours of academic work is designed to get admitted students warmed up and ready to go.
    Placement TestYes
    InterviewYes
    More Start Dates
    March 22, 2021 - Online Apply by February 22, 2021
    April 19, 2021 - Online Apply by March 22, 2021
    May 17, 2021 - Online Apply by April 19, 2021
    June 14, 2021 - Online Apply by May 17, 2021
  • Introduction to Data Science

    Apply
    Data Science, Git, Python, Machine Learning
    OnlinePart Time6 Hours/week6 Weeks
    Start Date April 5, 2021
    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
    More Start Dates
    April 5, 2021 - Online
  • Short Immersive Courses

    Apply
    Start Date None scheduled
    Cost$3,500
    Class size60
    LocationOnline
    Metis has also launched a new offering called short immersive courses, enabling students to learn from elite instructors in an intensive, full-time format, while also applying what they learned to an end-to-end project that can be added to their professional portfolio. In total they're launching 7 courses, ranging in topics from Exploratory Data Analysis (EDA) to Deep Learning Fundamentals. Visit thisismetis.com/courses to learn more.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Charlie Yaris • Data Management Associate • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    I had a great experience at Metis’s Chicago campus. I currently work as a Data Management Associate and can credit Metis for helping me land this opportunity in so many different ways. The course itself gave me great preparation for interviews, but I think I owe even more credit to the incredible support I received from Metis’s staff.

    Metis’s entire staff is so incredibly 
    dedicated to the success of their students. This not only allows for fulfilling learning experiences during the actual course, but also ensures further support and guidance after the course ends. I’ve kept in touch with Metis’s staff after the program and am always impressed with how welcoming they are to alumni visits. This welcoming culture has also introduced me to several students who took Metis’s bootcamp during a different session than me.

    You are sure to receive great instruction during the Metis’s bootcamp. What really sets Metis apart though is that the entire staff loves helping students realize their full potential.
  • Andrea • Senior Quantitative Analysta • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    I just completed the full-time, in person Metis Data Science Bootcamp in Fall of 2019. The course proved to be challenging and effective. I found Metis during my efforts to transition my career from a more operational role to a data science/data analysis role (which I expected to both more challenging and interesting). I had a very limited background in coding and machine learning, and this bootcamp gave me the skills I needed to lock in the kind of job I was going for. The instructors were extremely helpful, encouraging, and patient with my questions. I could not recommend this program more. I'd say it was worth the time and money, and was the most efficient path into the data science world.
  • Al Pittampalli • Student
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    The curriculum was impeccably organized, the instructors were top notch (Joe Eddy, in particular, is almost certainly the best teacher I've ever had in my entire life), and the careers team was extraordinarily insightful. Highly recommended. 
  • Ana • Engineer • Student
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I completed Metis' data science bootcamp in April of 2017. Overall, I had a fantastic experience and learned a ton. Don't be fooled by the "bootcamp" style of learning. The curriculum is rigorous and the coursework moves quickly. You'll do well if you come prepared to put the work in. I wrote a full review of my experience at Metis on my blog: https://wellandwired.com/blog/metis-data-science-bootcamp-review

    After completing the program I started a job at Amazon and have had the opportunity to be a part of some amazing and impactful projects!

  • Jhonsen Djajamuliadi • Student
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:
    This is my review of METIS Data Science (DS) Bootcamp experience in Seattle, winter session, Jan-Mar 2019. 
     
    I really enjoyed my bootcamp experience! Everyday I was coding daily, learning new concepts, and implementing machine learning (ML) algorithms into various projects pertaining to my interests. It was a blast!!!
     
    Some things that I really enjoyed: (1) The format emphasizes creating design-to-product pipelines for data science projects. Having done 4 independent projects, I felt ready to tackle new problems, (2) my instructors, Chad and Cliff, provided a good mix of academic and pragmatic approaches to learning data science and completing DS projects, (3) after completing the bootcamp and reviewing class material for a couple weeks, I felt ready for interviews, (4) we practiced pair programming on a daily basis, (5) I felt a comaraderie spirit with my peers. (6) in terms of career support, our counselor (Marybeth) was very helpful. She helped me with everything I needed, from resume/cover letter review, job hunting strategy, connecting with other recruiters, etc. 
     
    Some things to improve (perhaps only for my cohort): (1) having code reviews or detailed project reviews with students would help I think, (3) I would’ve wanted to have more whiteboarding practice (this one didnt come up until the end, during mock interviews), (3) learning more DS use cases for various business problems would’ve really helped.   
      
    Advise for future students: 
    • The bootcamp provides sufficient (elementary) overview of fundamental machine learning algorithms, at least enough for entry-level data jobs.  However, I’d advise future students to also spend some time learning from external resources (books, blogs, etc.) to get a deeper understanding of each concept. 
    • If you intend to join the bootcamp, look up the curriculum ahead of time and think about what kinds of projects you might want to tackle based on your interests. 
    • Unless you already have previous programming experience, it would be good to learn python programming and other CS fundamentals yourself.
    • Just keep in mind that career transitioning is not as easy as you might imagine. If you are trying/planning to do it, I think your quickest way to getting a DS role is to leverage the domain knowledge you have from your previous career and then implement DS/ML into your field. Also, I learned that becoming a data scientist is more like a marathon, rather than a sprint. 
  • Russell Myers • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Metis is an exceptionally well-run program whose staff is stocked with talented, dedicated professionals. The program is fast-paced and intense, covering both breadth and depth across the data science topic spectrum. The quality of students is also exceptional, which provides an amazing secondary learning opportunity. 

  • Nora • Data Scientist • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I was impressed by how well the course was designed for people at many levels. Since it is a project-based curriculum, you were free to bite off whatever you felt like you could chew. For example, those who were CS majors could dive a little more deeply into new packages/techniques since the coding wasn't as much of a hurdle, whereas those with less coding experience could stick with what we discussed in lecture. I loved the balance of project time and lecture time and felt like it was the best way I've ever been able to learn. 

    It is fast paced, and to grasp everything that is discussed would be a challenge for almost anyone. However, you get a great understanding of the topics/techniques that you choose to use in your projects. Interviewers know you wont know everything, and simply want to see that you have a deep knowledge of techniques that you actually implemented. 

    I learned a lot from my classmates. Everyone was always willing to help others if they felt like they had more experiences with a topic. I think the admissions process selects for people they think will be successful working data scientists, which includes traits of personability and teamwork.

    The careers team was so knowledgeable and supportive. The instructors were so smart and invested in your learning. I learned more in these 3 months than I did in any year of college (technically and about networking/job search/careers) and I enjoyed it much more. 

  • Jack • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I wouldn't have been able to revamp my career without Metis. They were able to teach alot of different concepts fairly in depth (within reason for a 12 week program) and their focus on 5 projects I believe is the difference maker for Metis. It allows you to show employees you are relatively ready to perform well for their company. The extra job assistance post Metis was better than what my University had to offer and I ended up with a solid job after Metis. I highly recommend this program to anyone who is trying to break into the Data Science industry.

  • Would Do it Again
    - 4/21/2019
    Luke • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Overall, I'm glad I did Metis. I would not have gotten the job I did without it.

    Going in to the bootcamp I was unsure of my decision to enroll. A cursory Google search of coding bootcamps yields a mixed bag when it comes to tech professionals' views on them. A lot of people see bootcamps as a cash grab that churn out low-quality candidates. I was worried about being stigmatized for having a bootcamp on my resume.

    For the most part, hiring managers are open to bootcamp graduates. This isn't universally true, but it wasn't a huge hurdle when it came to the job search. The biggest hurdle is the fact that you presumably won't have relevant experience on your resume. In several cases, I felt like I had met the technical bar for a position but was passed over for someone with more experience. This is likely to be a reality in your job search, but it doesn't make getting a job impossible.

    That being said, I do believe there is a soft ceiling for jobs you'll be competitive for based on your background. It's not easy to get the Data Scientist title without a graduate degree. Even the more advanced Data Analyst positions seem to be pretty consistently filled by people with an M.S. in a STEM field. The point I’m trying to make is this: if you’re coming in with very little technical experience and no graduate degree, you’re realistically going to be shooting for a Data Analyst role, not a Data Scientist one.

    There’s nothing wrong with that though! Getting a Data Analyst role then moving to a Data Scientist role in 2-3 years is a tried and true path in to data science.

    Anyways, that’s enough about the reality of the job search. The bootcamp itself was actually a very fun experience. The project-based curriculum is effective in both its delivery of the content and in setting you up to get a job. Being forced to come up with a solution to every problem you encounter is the best way to learn. Prior to the bootcamp I found myself giving up when I encountered something really hard. Having a deliverable and a deadline keeps you a lot more accountable than self-study.

    I was expecting to be miserable for the three months of the bootcamp, but it really wasn’t that bad. I’d expect to be putting in 50-60 hours a week, but your days are quite varied. Your mornings are spent doing pair problems and lectures, and your afternoons are spent working. You have 4-5 hours to work on projects every day when you’re on-site – you would be surprised what you can accomplish over a few weeks when you’re throwing that much time in to projects.

    The career support was wonderful. Marybeth was super helpful and supportive for all my job needs, but you need to meet her halfway – the career services are not your concierge job lead service.

    I’ve come so far in the 6 months since I started the bootcamp. If you enroll, expect lots of personal and professional/technical growth. To be honest, I don’t think I was capable of being as serious as I needed to be about moving in to a more technical job. Metis gave me the structure and help I needed.

    One final word of advice: you really do get out of Metis what you put in. This doesn’t mean that you have to go super far out of your comfort zone in terms of the effort you’re putting in, but it does mean you have to be serious about getting in to Data Science. When you encounter problems, you need to be willing to troubleshoot them yourself rather than immediately ask for help. You need to be willing to hold yourself accountable for applying to jobs. The job search can be really tough and downright demoralizing, but if you have persistence you will eventually get where you want to be. Overall, I highly recommend Metis.

  • Andrew • Financial Data Scientist • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    Core data science (and I mean rigorous statistical analysis and predictive modeling), felt so out of reach before Metis. There's so many resources for learning Python and SQL out there (Udacity and Mode Analytics being my favs, respectively) - that I wanted material and curriculum from a bootcamp that matched the cost of attendance. In 3 months, Metis made it worth my while - enabling my growth from pivot table repots in excel and simple sql queries all the way to Natural Language Processing on unstructured text and Deep Learning on Cloud Deployments.

    The bootcamp option isn't for the faint of heart - and my personal thirst for challenge and rigor was satisfied. The immersive experience was so valuable to me for several reasons:

    (a) The "guided tour" experience. There's too many resources for learning data science, and it's helpful to have experienced professionals vet the resources for you. Part of being a good data scientist is knowing what you can down prioritize for learning later. By immersing myself in the best practices and skills that Metis instructors have determined most useful on the job, I generated plenty of leads and had secured an industry role within 3 months of graduating the bootcamp.

    (b) Legitimized work experience. It's credible to potential employers to see accredited Metis experience on my resume, with work references from my instructors and cohort members to further validate my experience to potential employers. Whenever a potential employer asked me to list references for someone I worked with, I had a list of capable data scientists that could vouch for me. This set me up for plenty of technical assessments and technical interviews.

    (c) Connections to a learning network. Metis alumni are growing with every cohort! Data scientists are a minority compared to Software Engineers, and I was told early on that it wouldn't be unusual to work alone or on small teams on the job. That said, over a year later I'm still leaning on the community to keep my updated as data science tools and methods improve. Post-bootcamp, I learned so much more from my cohort and other alums from soliciting help and resource sharing. If I had done all the same projects by myself, then I wouldn't have had the breadth of exposure or network to be as successful a data scientist as I am.

    I can't stress enough how worth it this experience was for me.

  • Dana • Data Scientist • Student
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I completed my Metis bootcamp in December 2018 in Seattle.  What an amazing 12 week experience.  Every person in the 16 student group was smart, committed and caring as were the Metis staff as well.  We were a diverse group in ages and backgrounds but everyone was there to get the most out of the 12 week experience.  We were together in the classroom from 9am-5pm, 5 days a week.  That made for an amazing energy.  

    We learned a lot but it's bootcamp and the information comes at you fast.  This meant we were on a very steep learning curve which is pretty exciting.  Be prepared to be all in for the 12 weeks to get the most out of your time at Metis and then spend time afterwards learning the stuff you missed along the way.

  • Andrea • Business Data Analyst • Graduate
    Overall Experience:
    Curriculum:
    Instructors:
    Job Assistance:

    I attended Metis in the summer of 2018 and I could not be happier with my Metis experience. The instruction was state of the art and the staff was accessible, helpful, and supportive.

    Probably the most important feature of a data science bootcamp is the quality of the instruction and Metis instructors are excellent. One of my instructors had relatively a stronger background in computer science and the other a relatively stronger background in math and they complemented each other perfectly. The classroom culture was collaborative and supportive. Learning from peers was highly encouraged and practiced daily. Every morning, we completed a pair programming exercise; this was an incredible opportunity to learn from peers who came from diverse backgrounds and had incredibly advanced and varied skillsets. Moreover, updates to the curriculum are continuously being implemented such that the curriculum stays on the cutting edge of data science.

    I also found the way the curriculum was structured to be highly effective. The curriculum is project-based and covers topics from exploratory data analysis, to regression to classification to unsupervised learning and finally to a passion project of students’ choosing. Students complete a project for each of these units. Metis does not provide the data sources or provide students with a pre-packaged template for the projects. Students have to go out and scrape their own data or otherwise obtain data from publicly available sources and determine (with guidance from instructors of course) what direction they want to take their projects. Students’ diverse backgrounds and interests are then reflected in the choice of projects; in my cohort alone, student projects ranged from predicting the stock market (of course), to predicting good locations for cat cafes, to natural language processing of religious texts, and predicting locations and severity of wildfires. I found this project-based approach to be highly effective. In contrast to other data science programs which are centered around only one capstone project, Metis’ curriculum allowed for students to take deep dives into each of these topics.

    Career support was also extremely effective. From the careers team, I learned how to update my resume and LinkedIn profile to be consistent with industry standards and even practiced in person and technical interviews. I eventually got my first job as a result of a tip from one of the career’s staff. To me, this indicated just how well the career’s staff knows their students; they knew that this opportunity would be a good fit for me and indeed it was.

    Of course, Metis is not cheap but none of these bootcamps are. When I made the decision to attend Metis, I knew that I was making an investment in my future and at the time, I predicted (because hey I am a scientist and scientists like to make predictions) that I would have a strong return on that investment. In the few months that it has been since I graduated I have already had a return on that investment and I know that return will continue long into the future.

    Lastly, while Metis was definitely an intense and challenging experience, it was also a fun one. It was extremely stimulating to be surrounded everyday by such knowledgeable instructors and peers with such incredibly diverse skillsets. There were late nights and work on the weekends to be sure, but I also found the work to be manageable. During Metis, I remember telling myself not to let perfect be the enemy of good and I think that advice served me well. The skills that I think are critical for students to succeed at Metis are curiosity, a willingness to try something and fail on an initial attempt, a willingness to iterate, and openness to collaboration. If these qualities resonate with you, I would strongly encourage you to check Metis out. It was an amazing experience and I am so glad that I made the choice to do it.

Thanks!