Metis offers data science training via 12-week full-time immersive bootcamps, part-time online bootcamp prep courses, and corporate training programs, with campuses in Chicago, New York, San Francisco, and Seattle. The Metis Data Science Bootcamp is designed and taught by industry practitioners and provides students with on-site instruction, and access to speakers, mentors, events, and job support. Graduates will be comfortable designing, implementing, and communicating the results of a data science project, will grasp the fundamentals of data visualization, and will get exposure to modern big data tools and architecture such as Hadoop, Hive, and Spark. Successful Metis alumni will have skills in Python, Bash, algorithms, linear regression, machine learning, NLP, databases, and interactive data visualization. The data science curriculum is delivered through project-based, hands-on, collaborative learning.
To apply for the Metis Data Science Bootcamp, applicants need to have experience with programming and statistics, and complete 25 hours of academic pre-work. Metis offers a free, self-paced Admissions Prep course for those who need to brush up on their linear algebra, calculus, probability, statistics, and Python skills. Metis is looking for students eager to get their hands dirty by learning new technologies and solving real-life problems, and who have the skills needed to secure entry-level jobs in the Data Science field. Metis is authorized to enroll international students with M-1 visas in NYC and San Francisco, which allow non-U.S. students to attend technical and vocational programs in the U.S. International students who are already in the U.S. on an F-1 visa may also transfer to Metis. Veterans may apply to use the Post-9/11 GI Bill® to develop their data science skills at the New York City bootcamp.
Graduates leave fully qualified for data scientist jobs, with placement programs available. Students receive mock interview training, visit company offices, present their projects to employers at Career Day, and have access to an extensive network of speakers, mentors, events, and ongoing career coaching and job placement support.
Recent Metis Reviews: Rating 4.87
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Considering applying to our Data Science Bootcamp but need to build or brush up on your basic skills first? Our Beginner Python & Math for Data Science course was designed for you, the beginner looking for an introduction to the building blocks essential to developing data science skills or forging a new career in the field. This course sets you on the right track, covering everything you’ll encounter during the bootcamp application process. You’ll learn: Basics of Python programming Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra, calculus, probability and statistics Please note, the cost of Beginner Python & Math for Data Science can be applied to the cost of the bootcamp once you apply. We welcome all students looking to brush up on data science basics, not just those looking to apply to the bootcamp. Please visit our website to learn more and don't hesitate to contact us with any questions about Beginner Python & Math for Data Science, the Data Science Bootcamp, or any other inquiries.
- Start Date
- September 23, 2019
- Class size
- Minimum Skill Level
- Absolute Beginner
- Placement Test
More Start DatesSeptember 23, 2019 - OnlineApply by September 23, 2019
- Data Science, Git, Python, SQL, Hadoop, Machine Learning, Algorithms, Data Visualization, Data Analytics , Artificial Intelligence
In PersonFull Time40 Hours/week12 Weeks
- Start Date
- September 23, 2019
- Class size
- New York City, San Francisco, Chicago, Seattle
- We partner with Skills Fund, an innovative financing company that offers financing options for students accepted to our bootcamp. Visit our website to learn more.
- We offer a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, or veterans of U.S. military personnel. Visit our website to learn more.
- Minimum Skill Level
- Some experience with programming and statistics.
- Prep Work
- Once students are enrolled in the bootcamp, they are granted immediate access to our prework materials, a structured program of 25 hours of academic pre-work and up to 35 hours of set-up is designed to get admitted students warmed up and ready to go.
- Placement Test
More Start DatesSeptember 23, 2019 - SeattleApply by August 19, 2019January 6, 2020 - SeattleApply by December 2, 2019September 23, 2019 - New York CityApply by August 19, 2019January 6, 2020 - New York CityApply by December 2, 2019September 23, 2019 - San FranciscoApply by August 19, 2019January 6, 2020 - San FranciscoApply by December 2, 2019September 23, 2019 - ChicagoApply by August 19, 2019January 6, 2020 - ChicagoApply by December 2, 2019
This course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in our Data Science Bootcamp. You’ll get a well-rounded intro to the core concepts and technologies taught within the bootcamp, including basic machine learning principles and hands-on coding experience. Plus, you’ll put it all to practice through a mini data science project of your own. We’ll cover the following: Data acquisition, cleaning, and aggregation Exploratory data analysis and visualization Feature engineering Model creation and validation Basic statistical and mathematical foundations for data science We welcome all students looking to brush up on data science basics, not just those looking to apply to the bootcamp. Please visit our website to learn more and don't hesitate to contact us with any questions about Introduction to Data Science, the Data Science Bootcamp, or any other inquiries.
- Start Date
- September 9, 2019
- Class size
- Minimum Skill Level
- Students should have some familiarity with basic statistical and linear algebraic concepts. In Python, it will be helpful to know basic data structures.
- Placement Test
More Start DatesSeptember 9, 2019 - OnlineApply by September 9, 2019
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I came to Metis from a very nontraditional background. I received my bachelor's from a conservatory in New York City, where I studied classical French Horn performance. While there, I had every intention of continuing to play music professionally.
I decided to do Metis for several reasons. After graduating, I spent several years in a variety of positions mostly related to project management and business operations but was looking to get into more analytical/technical professions. I was taking courses on Udacity and Udemy for about a year; while I found those courses helpful and informative, but they were not enough on their own to facilitate a career transition.
I learned about Metis from a close friend of mine who attended. It was a highly transformative experience for him, and he was able to secure a position at a startup where he actually started and is now building the data science team.
Like anything in life, you'll get out of it what you put into it. One thing that makes Metis so great is the community that you join. Some of my closest friends are students that attended my cohort (and even previous and subsequent cohorts). We all helped each other through the challenges that we faced throughout the bootcamp. We learned as much from the instructors as we did from each other by working through our problems together. (Always be willing to ask questions!!!).
While it would be possible for me to (more or less) learn this material on my own, I would not have been to do so as quickly and comprehensively. That said, even if I learned this all on my own, there's no way that I could have achieved the same level of confidence, not without being surrounded by the great instructors, staff, and peers that Metis provides. During the bootcamp, you'll get a clear idea of where the bar is and what you need to do to reach it.
The career counseling was also highly beneficial. They are very honest about the career options you should expect upon completing the bootcamp, and they do their best to connect you with hiring managers and representatives where your unique skills and background will be appreciated.
Without any technical degrees or relevant experience, I was told to expect the possibility of a data analyst position and not a data science position. I had about a 50-50 split in terms of the interviews I was getting between data scientist and analyst positions. Three months after completing the bootcamp, I received two offers from leads generated through the Metis career counselor. One as a Senior Data Analyst and the other as a Data Scientist. I accepted the offer as a Data Scientist.
I came into the Metis Data Science Bootcamp from a non-STEM background. Undergrad was in History, and grad school was in Architecture/Design. I choose Metis over other options because of the independent project work. It was important to me to work through structuring a project from start to finish, and for the finished products to represent the kind of work I wanted to do in the future. The project-based work resulted in a strong portfolio of projects that transitioned easily into demonstrative work for job interviews and networking.
Metis exposed students to a wide range of concepts, ideas, and strategies during the in-class content. For our own projects, we had freedom to work within certain frameworks to dive deeper into topics or strategies we found more interesting. For the final project, we had a blank canvas to execute a project of our own creation. The synthesis of all the bootcamp's learnings with our own interests was deeply rewarding and genuinely exciting. For a cohort that shared a common set of in-class experiences, the individual project-based work and final project created substantial diversity and differentiated expertise within the student body.
In general, the course and project work exceeded my expectations. Another dimension I could not have predicted was the positive and supportive social dynamic within the cohort.
I received my first data scientist job offer two months after the bootcamp ended through a lead generated by Metis, and the offer I accepted occurred 6 months after the bootcamp through a lead I generated on my own.
If you are here shopping around for a data science bootcamp to launch your new career path, you can stop here. My experience at Metis allowed me to make a massive career change in a surprisingly short time frame, with very little prior experience. In this program, you'll learn from a team of incredibly smart and skilled data scientists who will always go the extra mile to help you understand the dense material. You'll also be in the good hands of a very knowledgeable and effective career support team. To put it simply, if you put in the work, they will make you a highly sought after D.S. candidate in 12 weeks.
Aside from the staff, you'll also learn a lot from your classmates. Cohorts are comprised of smart people with a wide range of backgrounds and expertise who are willing to help each other.
The projects that you complete during this course provide you with an impressive portfolio to showcase during your job search, and the materials taught during the course are exactly what companies are hiring for. If you are motivated to start a new career and ready to put in hard work for it, I can't recommend this enough.
In short, Metis is a fantastic opportunity. I was blown away by the amount of information the faculty was able to teach just 12-weeks. I come from a science background and was delighted by the instructors' willingness to help with what is very challenging material. On top of the incredible teaching staff, Metis also provides you with stellar careeer-support and guidance for navigating life post-grad, and ultimately landing your dream job. If you have the opportunity to participate in this bootcamp, don't pass it up!
I chose Metis because of its accreditation and encouraging reviews and I'm glad I did. Although it was probably the most challenging thing I've ever done, I was also having fun in the process and came in everyday eager to learn more. Not only did the bootcamp equip me with the necessary programming skills I needed to transition to a more technical career, I also built incredible work ethic in the process and befriended and connected with many other intelligent, driven students in the collaborative environment.
My instructors at Metis were very knowledgable and were great at communicating the data science concepts and machine learning algorithms. At the same time, they were patient enough to answer our many questions. The schedule and curriculum was well-rounded and we were trained to be better presenters and communicators with our 5 data science projects/presentations that were due during the course. I couldn't be happier with my decision to attend Metis and I would highly recommend it to anyone who's looking to get into this field.
I can't imagine a more well-structured 3-month program to prepare students for the current Data Scientist job market. The type of work covered in independent projects, the statistical inference/ML curriculum, and daily programming challenges are exactly what companies (in SF at least) are testing for in Data Science positions today. While the post-graduation interview process is difficult, I think in every interview I went on I used some piece of knowledge I picked up at Metis, and heavily credit the program with job placement success.
One caveat is that the program is extraordinarily difficult in terms of expectations and depth/speed of material covered. If you have any meaningful time commitments that can't be put on the backburner for 3 months, I would caution that the program requires near total-focus (this certainly varies per-student, but at least for me, this included heavy night and weekend work over the 3 months). That being said, I'd probably never been as excited to approach each day, and made enormous strides in technical capabilities because of it.
Our cohort was particularly close-knit, and most of us still are in constant contact most days despite the program's completion. This for me was probably even more valuable than the technical content, as it provided a strong network of other people breaking into DS that I'd image will remain invaluable for years.
Career Support after in SF was impressive as well. I ended up going with a company I found independently, but Career Support provided me with at least 20% of my strong leads during the job search.
If you feel compelled to break into the field and are looking to accelerate very rapidly, do this now.
Metis isn't for the faint of heart. What this program is NOT: an easy, magical path to coast through for 12 weeks to land a data science position. What this program IS: a well structured, intense immersive that can lead you to your goals when doubled with appropriate effort.
My background is from business school. I worked as a Tax accountant CPA, then management consultant for finance related projects, and then as a community economic development volunteer in the Peace Corps. Hard skills such as programming, statistics, or any kind of science were not my forte - but rather I'd developed experience in problem solving and communication skills more than anything. However, one fascinating part of Metis was the diversity of backgrounds among my cohort - and the ability for many people to succeed in the program.
I strongly encourage any potential applicant to be thorough in their preparation and vetting process. If you are able to pass the entrance exam for Metis, and know why you believe the program will help you achieve your goals, then I would highly recommend it ensuring you have the discipline and time to focus on this for 12 weeks.
For my anecdotal experience, Metis was fantastic. I chalk a lot of that up to having done substantial thinking in deciding why I wanted to do a data science bootcamp and how it would help me make the career transition from accountant/consultant to data scientist.
So why Metis then?
- I found the instructors extremely knowledgeable and accessible
- My cohort peers were intelligent, engaging, and had diverse backgrounds. I think a large part of that is the Metis admittance process
- Dedicated career support (Marybeth in Seattle) was quite helpful in navigating and structuring the job hunt process
- The 5 project structure of the program was invaluable. In many of my job interviews I found being able to talk about how I did 5 projects - 4 entirely solo and which included gathering my own data - a huge asset
Additionally, the physical space was perfectly adequate and not run down like I've heard rumors of some other bootcamps. There clearly is support after the bootcamp - but finding a job is not handed to you on a platter. In my personal case, I spent about 12 weeks job searching after the bootcamp as well. It paid off in the end, and I would have done Metis 10/10 times again, but don't expect a job to be handed to you afterward. The Metis presence in Seattle is smaller than some other bootcamps, but if you are willing to expand your job search outside Seattle I personally found Metis connections help me make headway in over 10 different job interviews.
The curriculum continues to bee updated and I'm glad to hear they spent some more time on time-series for the cohorts after my own.
In summary, I recommend Metis if you do the hard work in visualizing how the immersion will help you achieve your next goals. If you believe a data science bootcamp is the right step for you, and you're willing to put in the time and effort into the program, Metis is an excellent investment of your time and money. Please feel free to reach out if you have any questions.
My background was in management consulting and I had some experience with data analysis, but the amount I learned here was unreal. I was really interested in machine learning and neural networks but found I was having trouble learning them on my own in an unstructured way. Metis was perfect for this and aligned with my preferred learning style really well. I learned everything I wanted to and then a whole lot more. They cover just about everything you'll come across as a data scientist in varying degrees of detail, but then set you up to learn so much more after you're done. I spent the weeks after I graduated reading and deepening my knowledge about all of the stuff I learned in Metis, and tutorials and research papers that would have been way over my head pre-Metis just didn't scare me anymore. It's really cool! The instructors were outstanding and could answer just about every question you'd throw at them, and then they went above and beyond to make sure you understood everything before moving on. Take advantage of that because they're all really knowledgeable and more than willing to help. I actually spent quite a bit of time learning things that interested me that weren't in the curriculum for my projects and they even had answers about that stuff too. I really think you'll get a lot out of this, but be prepared to put in the hours. The class goes from nine to five, but if you're willing to work nights and weekends and squeeze every bit of knowledge you can out of this then you'll be very impressed with what you know and can do by the end.
If you are looking for an in-person, immersize Data Science bootcamp that will give you skills and confidence in this burgeoning field, you need look no further than Metis. The highlights:
- Passionate, intelligent, yet personable and caring staff
- Applicable curriculum, a good balance of broad and deep
- Bright, motivated, supportive peers
- A true cheerleader in tne Career Support Advisor
I appreciated that there was a significant amount of "pre-work" recommended. This isn't a zero-to-hero bootcamp, and it shouldn't be. Everyone walks in with a baseline, so you can get more or less straight to work learning about Data Science. I enjoyed the project-based curriculum and believe it was a very effective way to teach new concepts. As you learn, you apply it. Instructors are highly available to assist with any questions or issues -- though they sometimes got monopolized by students seeking more help than others. They are incredibly patient, kind, and wise. Classmates were friendly and always willing to help -- it felt highly collaborative, and never overtly competitive. Metis puts forth a lot of effort to make it feel like a community and that each student is valued.
Beyond the Data Science, Metis teaches you *grit*: how to not give up, to find a way. *time management*: you don't have a lot of time for your projects -- so you learn how to time-block and set deadlines for yourself. *how to learn, and learn fast!*: don't know something? Google it. Find a book or a blog. Ask someone. Get creative. These are skills that will serve you well in The Real World.
My only quibble is that I was expecting a bit more from the Metis network in terms of finding a job. Perhaps the Seattle program is too new to have a vast expasne of alums armed with a trove of jobs, just waiting for us to graduate to bestow them upon us. Maybe I am just lazy and entitled. I should note that some alums were very involved and eager to help. Also, Marybeth, the career advisor, is an amazing resource. She is highly knowledgable -- and connected -- and is also always there for moral support. She'll help you structure your time post-bootcamp and negotiate that inevitable job offer.
I jumped at the chance to go back to the technical track of my career after spending far too long in technical management. My academic background has been in computer science and math, and I started professionally (a while ago) as a data dev and analyst.
Of the four or five data science immersives I researched, including the other two in-person full time programs in Seattle, Metis is the one that places more rigor and time in the data science aspect of the curriculum, as opposed to the data engineering side of it: data science first, the tools to do it second. Most other programs dedicate too much time to hashing over ETL and development best practices. Those are absolutely necessary in real-life data science positions (ask me about it over beer some time), but they should be a pre-requisite, as they are in Metis, in order to effectively immerse you in data science without distractions during the program.
That doesn't mean you end up being a stats nerd with no practical programming skills, on the contrary. The day starts with a programming brain teaser to fire up the neurons as the coffee kicks in, and the evening ends with you turning in a solid piece of working code that excercises the morning's data science theory and tools lecture.
I'm also always amazed at the quality of the people that make it into the program. From all walks of life, age groups and skill sets, but the common thread is that they have the intuition for data science, plus the drive to learn and do what needs to be done to master it.
And the people working for Metis are also top-notch: skilled, knowledgable, good instructors, administrators, and boosters for the data science professions in the business econsystem.
This Bootcamp has been one of the most rewarding experience. I got to learn alot and was introduced to so many new techniques regarding Data Science.
I had the pleasure to learn from Alice Zhao and Lara Katten. Both instructors are knowledgeable and are helpful through out the 12 weeks. Both of them are super humble for how much they know. They are perfect compliments.
The best analogy descibing this Bootcamp would be, say there are about 50 different doors where each door pertains to different topics in Data Science (e.g. Git, Data Viz, NoSQL, SQL, Supervised Learning, Unsupercised Learing etc). METIS opens these doors for you and helps you take the first step on the other side, then it is up to you to choose the topics you want to delve deeper into.
If you are thinking of making a career change to Data Science, please consider METIS Bootcamp. It will save you a lot of time and money.
P.S. Everybody has their own interpretation of ratings. Please note I never give a perfect rating, for me a four star is a very high rating.
Metis turned me into a Data Scientist! I worked as a business analyst for about two years and had some exposure to analytics. But I lacked hands-on experience and a good understanding of machine learning. I tried to change my career path on my own but didn't have much luck. Trying to self-teach and rebrand, all on my own, was daunting and very stressful. I'm really glad that I found Metis and decided to commit to it.
Yes, you might be able to find all the materials online and learn everything on your own. But what makes Metis such a good experience is the instructors and career advisors. They really do care about your success! The instructors are not only good at explaining concepts but also have a lot of industry experience. I learned a lot about how to approach projects and design metrics from all the discussions I had with my instructors.
The bootcamp itself is tough and the job search after graduation is not any easier. Metis offers a lot of coaching and support to help me get to where I am today. Also, going through the job search process with my classmates provided a very crucial support network, and made it much easier to stick with it. I got multiple interviews through alumni referral and eventually landed a role through one of these referrals. The Metis community is incredible and I know it will be there to help me navigate through any challenges I have in my career.
I joined Metis after reading reviews on websites such as this (Coursereport), and after attending one of their Meetups. In spite of all the 4-5 star reviews that I had seen, Metis beat all my expectations! Let me elaborate.
I earned my PhD in Experimental Chemistry at the University of Chicago. While my research was somewhat computational in nature, I was not well-equipped to get started with a career in Data Science. If you're from academia, you have to understand that universities have no interest or incentive to prepare their cheap-labor postdocs for real jobs. In spite of having science PhDs, half of my colleagues in academia weren't able to find a single job whatsoever, and some were already past their 5th year as postdoc (we're talking Physics, Chemistry, Math PhDs). Metis was instrumental in equipping me with all of the industry-relevant skills in a very short amount of time. They were also great with demonstrating the utility of ML/AI and the potential impact that it is likely to create in the next few decades or so. While one can technically learn all of this material by oneself, it would take at least a 9 months even if you did it full-time. It would take you multiple years if you tried learning all of it while doing some job or postdoc, which is why most postdocs can't make that transition by themselves.
Alice Zhao and Roberto Reif were both great instructors with many years of industry experience. I miss the energy from our instructors and cohort. Three weeks into the bootcamp, I remember a few of us discussing about how good the bootcamp was. Fast forward 6 months, and most of us who were looking for a job have found one. Having an advanced degree helps, but not having one is completely okay. I now work for a firm called Soothsayer Analytics (with Microsoft as end-client).
My only minor complaint from the bootcamp is that it doesn't delve too much into SQL or Time-Series Analysis, and a lot of companies like Facebook or Expedia make you go through really tricky SQL questions.
TL;DR: Metis was amazing. The instructors set the tone for excitement, grit, intelligence, and success. The projects were invaluable experiences for learning so many data science skills and for using as examples of work in interviews/applications. The curriculum is as close to real-world experience as a bootcamp can get. A+ to Metis
I found Metis after several months of knowing I needed a career change and searching for the right way to jumpstart my return to tech after two years of completely unrelated work. I graduated undergrad as a mechanical engineer, worked as a research engineer, but then took a hiatus after moving to Seattle and worked as an assistant manager at a restaurant. I learned about data science through friends already working in tech in Seattle and realized I already had some of the skills from mechanical engineering and working in research, but I didn't have any recent relevant experience that would allow me to get a job anywhere. That's when I found Metis. I compared it against a couple other bootcamps, but honestly there was no comparison. Metis was an actual data science bootcamp - not just a coding bootcamp. Metis promised instructors with real-world experience and work-life balance. Metis promised a portfolio of work based on five data science projects compelted during the bootcamp. Metis was accreditted. And Metis was small, but already had excited students and a reputation for being hands-on, real-world-reflecting, and full of direct career support.
I was not disappointed. The application process was challenging, but appropriately so. My engineering background provided me with the proper math and thinking skills and I was accepted into the winter cohort of 2017. Then I had to complete the prework before starting in September; that was also very challenging, but totally necessary and I highly encourage you to do the prework if you want to do well. I had no prior programming experience other than Matlab, but I was able to teach myself enough Python in the month before starting to be completely capable during the bootcamp. That leads to another piece of advice: you get out of Metis what you put in. In other words, Metis is good for you if you're willing to put in the effort and the hours and learn a ton.
My final note, regarding my Metis experience, would be that the people made it what it is. The instructors were amazing; so intelligent, so in touch with real-world data science, so excited to be there and teach and guide, and just so overall great people. The rest of the cohort was amazing too; the application process and just the type of people Metis attracts includes only intelligent, passionate, and driven people. This was what drove the learning environment and what truly helped me get excited, challenge myself, and succeed.
For those of you interested in where you could end up: I am now a data scientist at a tech consulting company in Redmond. Because of my more recent graduation date, lack of an advanced degree, and minimal relevant paid experience, I began my role as an intern at the company. Do not let this deter you; the internship was invaluable especially after a particularly grueling application period (where I was applying to almost five companies each day for several months). I learned a ton during the internship and it was an opportunity to take risks in a lower pressure environment.
Being a math major, I wanted a deeper understanding of data science at an application based level, which I knew a masters program would not achieve. I looked across all the different bootcamps, and I found Metis as the only accredited course. The quality of instructors attracted me the most to Metis, and it is the only bootcamp that makes students complete 5 end-to-end projects. This fell in line with my urge to learn data science at an application based level. Each instructor has previous experience in the data science field from work to educational experience. These instructors made learning these complex topics easier to understand by applying basic real world analogies to them. Additionally, the instructors went around to students every day and made sure there were no lingering questions as a group and 1:1 basis.
Deciding to do Metis was a huge step for me, the financial, time, and educational undertaking were all factors in play when I decided to join Metis. Financially, Metis is the same across all bootcamps, and it is cheaper than completing a data science masters program. The time commitment is ideal as it is just 3 months; however, I would not recommend doing any job (part time included) with this course as you get more out of the course by solely focusing on the course itself. The educational undertaking seemed questionable at first but with the strong instruction from the instructors they cleared up any loose ends.
Regarding the course, I would highly encourage starting the pre-course work as soon as you receive it and make sure you understand each topic well. This will help you in every mornings pair problems and save time on your projects. One thing that helped me learn the data science algorithms better was that I would watch Andrew Ng’s videos on the topic we are learning for that day before class. This helped me absorb the information better than learning it for the first time in class. I also recommend completing the challenges that are given by the instructors. These are optional, but by completing a few of them, I was able to gain a stronger understanding of each topic.
Metis’s career support is extremely strong. The career support staff makes sure to get you connected with individuals at companies that you are interested in. The staff helps you get prepared for interviews by setting up frequent mock interviews. Joining Metis was an overall positive experience, and it changed my life for the better.
I began my search to build skills towards data science without any real knowledge of what specific subjects or topics I needed to understand in the field, other than knowing a programming language such as Python. I researched various programs that offered a variety of courses but noticed that Metis was purely dedicated to data science. I looked over the courses (and accompanied curriculum) provided by Metis and was initially stuck between taking the Introduction to Data Science, or the Beginner Python & Math courses. I reached out to the team at Metis, and had an informative and helpful conversation with Amy Ramnath, and ultimately decided that the Beginner Python & Math course best suited my needs as a beginner looking to get his feet wet.
I took flight on my journey through the 6-week online Beginner Python & Math course from May 21st to June 27th twice a week, 3-hours per lecture, with Garrett Hoffman and Roberto Reif. Both Garrett and Roberto were fantastic teachers who are passionate about the subject matter, and whom make themselves available to assist students in answering questions or providing professional suggestions and recommendations towards student goals. There is copious material to cover and review throughout the 6-week course to get you rolling in the right direction, and as with any educational course, personal time allocated to studying and practicing outside of normal lecture hours should be anticipated and expected. Although the course material was dense, I feel much more confident and comfortable knowing that I've been provided a breadth of information and knowledge to establish a foundation to build on using Python and Jupyter notebook along with NumPy, Pandas, and Matpotlib packages, and understanding what subjects and topics in math (Linear Algebra, Calculus, Probability, and Statistics) are common to data science. A nice perk of the online course is that the lecture sessions were recorded, and could be reviewed at my own convenience if I were unable to attend lecture or needed to review material again.
Overall, this was an exceptional course that has provided me with more insight into understanding what baseline subjects I need to understand to begin working towards my goal of starting a data science career.
I think I may be of a slightly different variety than many students and attendees.
I am an adult undergraduate student in my Junior year of an applied mathematics degree. I attended my course as part of an independent study contract with my university.
I attended the 6-week Math and Python for Data Science program. My instructors were Gordon Dri and Roberto Reif.
In my experience, Gordon and Roberto as well as other support staff were extremely attentive, professional, courteous, and warm. Plus, in class, there was some humor to each lesson.
My class was online via video. It is a one-way video, so only the teachers can be seen by the students. This was super convenient. We could communicate via chat (which worked very well), and I could work from anywhere at all and still receive one on one help when necessary.
The iPython notebooks that are provided by Metis can be printed to create your own personal reference manual and can be customized and expanded.
I learned quite a bit more than anticipated, though I was thoroughly familiar with all of the mathematics that were covered.
I’m grateful for the experience. This stuff is going to be invaluable for research and lab work.
I would like to have seen more/deeper mathematics covered using python, but this is a relatively short beginners course with a specific application, and I’m leaving with more than enough tools to do it myself (which is the best way for me to really learn).
Doing Metis was one of the hardest decisions I ever made. The time/financial commitment is tough to swallow for anyone! That said, it’s one of the best decisions I ever made, as Metis paid off in every way you could imagine.
Several peers have captured the benefits of Metis here, so I’ll try to avoid repeating them and focus on what stood out to me personally …
The obvious doubt about a bootcamp was, “Why pay thousands of dollars?? I can learn all this online.” But Metis provided so many intangibles - career support, alumni network, mentorship from instructors, friendship from diverse peers - that you can’t get from an online course. Not to mention improving your chances to get a job. Prior to Metis, I tried to transition from academia to industry, but with zero success; I couldn’t get a single tech company to even consider me. Within 2 months after finishing Metis, though, I received multiple job offers and accepted one with a company that I’m thrilled to be at.
The project-based curriculum, with the guidance of experienced instructors, is the ideal way to learn. Aside from giving you a strong portfolio of material to use on the job market, the projects teach you to learn and apply new material quickly. In my first job after Metis, I was much more confident learning new tools because Metis had prepared me for the fast-paced learning you need to be a data scientist.
I can’t emphasize enough how committed the Metis instructors and staff are to students. They go above and beyond to not only teach you data science but provide mentorship, career support, and emotional support. The bootcamp and subsequent job search can be an emotional roller-coaster, so their support is instrumental.
Finally, one of my favorite things about Metis is that they don’t sugarcoat the challenges of the bootcamp or make grandiose, inflated claims about what the outcome will be. Getting a job in data science is very, very hard. Metis acknowledges it’s hard, doesn’t make any wild promises, but gives you every resource to succeed and remains committed to their alumni long after you graduate. They treat you like you’re part of their family.
My biggest piece of advice - think carefully about how you need to personalize the Metis experience to suit your needs. Everybody comes in with different backgrounds and life circumstances. There’s no single formula that works for everyone; when making decisions like picking projects, deciding when to start your job search, etc., you need to consider that what’s best for you. Whatever you choose, Metis staff are going to be there to help you through it.
About a year ago, I was in your position. I was reading reviews about data science bootcamps and weighing my options. At the time, I was a full-time lawyer (no formal STEM background), watching MOOCs in the evenings and teaching myself python on the weekends. I attended Metis in Chicago during the spring of 2017. Within a month of graduating, I was recruited by a growing startup. Since then, I have been prototyping new tools, working with engineers, and enjoying the tech industry. This transition would have been impossible without Metis, its encouraging staff, its supportive instructors, and the genuine connections I made through Metis.
Having worked in my new profession for the past 6 months, I have a different perspective and new appreciation for my experience at Metis. The curriculum is rigorous, but well-structured and current. Our dedicated instructors, senior data scientists Zach & Seth, updated our lessons to tailor them to the needs of our cohort. With this foundation, I have had no problems learning other algorithms and tackling new projects at work.
Not only did Metis teach me to think like a data scientist, but more importantly, it also taught me to be a data scientist. Specifically, my transition from the bootcamp to my job was almost seamless. The bootcamp is full time 9 to 6, emulating the work day of a data scientist. We did standups, pair problems, completed projects in short deadlines, and presented our findings. Although, I wish we had dedicated more time to unit-testing and other “best practices” for collaboration with engineers, the instructors appropriately incorporated practices inspired by their own experiences and those common in the industry.
While the instructors well-prepared me for my new career, it’s the dedicated staff, program manager Nathan and career advisor Ashley, who got me this career. Metis regularly held events, hosted speakers, and organized the all-important Career Day to expose the cohort to all of Metis’ corporate and employer contacts. (I met my boss at an open house!) All the career workshops, including the essential mock interviews, were so well organized and thorough I was in fighting shape to apply, interview, and negotiate for my job.
Metis is the “marathon” of career transitions—intense, exhausting, longer than I thought I could handle, but when it’s over, so rewarding. After a quick but demanding 3 months, I left Metis with friends, a taste for junk food (so much free pizza & cake), mentors, an impressive portfolio of 5 projects, skills that I will be able to leverage for the rest of my life, and entrance into the most exciting industry.
I was part of the first cohort on the Seattle campus and came from a neuroscience background with bench science experience. To echo other reviews here, Do The Prework and do not procrastinate on that! My programming skills weren't as strong as the rest of my cohort and I likely spent more time on the prework as well as weekly HWs. The curriculum is standardized across campuses and the instructors prepare quite a bit to bring the material to life. I didn't even mind when we ran into technical difficulties when code failed or during installation days because it's a peek into real-life debugging a stack trace and troubleshooting.
With the bootcamp being project-focused, you are allowed to be as creative as you want. You will learn to fail fast and to love (or accept) the MVP. Between lectures, HW, and projects, this is a very intense, immersive program with regard to your time, and mental and emotional energy. During these 12 weeks, I'd say I spent an average of 12 hours a day on activities relating to the bootcamp, which includes attending Metis-sponsored speaker talks and regional networking events, so the access to resources is awesome. And in the end, it does make the payoff feel incredible.
My classmates were and are a valuable source of support. The staff is responsive and quite supportive and it's not that campus staff only interacts with their "home campus"; it's nice that you can learn from different career advisors and instructors if necessary. The alumni network is also a great source to bounce off ideas, learn about resources, keep up to date on job postings, and be silly!
What I also really appreciated about my Metis experience is that they help you not only learn new skills and how to apply them, but they helped me (re)discover skills that I enjoy and am good at, helping me polish those skills.
I am giving the curriculum less than 5 stars is that while there was great coverage to ML, there wasn't much time devoted to (advanced) SQL. A lot of data will already be housed in databases (at big, established companies) and relies on accessing it, rather than scraping it from outside sources. Talking to the next cohort, I think they remedied that, so 5 stars to listening to feedback!
Before: I had a bachelors in engineering and a law degree. I had worked in a number of different fields and didn't find a job that was fulfilling. I wanted to work on machine learning and NLP, and a bootcamp seemed like the fastest way to get there. From my research Metis seemed to be at exactly the right level for me. I didn't have an applied math Phd, but had a good amount of technical experience and math abilities that I wanted to take further.
Application: I had plenty of background in calculus, stats, and linear algebra, and some python experience. The application was challenging and multi-faceted, requiring math, coding skills, and some product sense/presentation skills as well. Looking back, it was important to have a competitive admissions process, as it allowed us to establish a baseline level of knowledge and hit the ground running on the first day.
Prework: Definitely do the prework. Unless you have been working as a data scientist before the bootcamp (unlikely if you are in the bootcamp), you will need to do the prework. I used it as a reference during the bootcamp as well. The more deeply you get the prework, the more time you can spend during the bootcamp on your project and more complex concepts.
Bootcamp: Full-time for three months. Days start with a coding challenge, followed by lectures, followed by project time. 5 projects in the bootcamp and a presentation to go along with each. Blogs were also encouraged, but not required for each of the projects. Classmates were diverse, thoughtful and supportive - in the 14 students we had, we had students straight out of school, and Phds who had worked in research for several years. The instructors were knowledgeable and made themselves available after class hours to answer any questions. There is definitely a lot to learn, but I found that there was a good balance between the theoretical, the practical, and practicing communicating using data with a business person/colleague/potential employer. Beyond the assigned work, nobody will be pushing you to go above and beyond, though, so you definitely get more out of it the more you put in.
Career support: Great career support that led to lots of positive effects (more interviews, more positive feedback from employers) as I am going through the job search process. The alumni network is very helpful in the job search as well.
Job: It's only been a few weeks since the bootcamp finished, but I have a good number of leads at companies that I would have been ecstatic to work at before the bootcamp started. When I interviewed, I felt technically prepared even when it was with teams staffed entirely of Phds. I'm confident I'll find a fit in a position I'll be very happy with. I don't think it's reasonable to expect any three month bootcamp to be a silver bullet that will get you a job at Google, but Metis definitely made a huge difference in focusing me towards an exciting data science career.
Before: Psychology major with eclectic work experience for the six years since I'd graduated. Decided I didn't have enough concrete skills/experience to land a job that would be challenging and interesting enough, and I didn't trust myself to learn on my own. Decided on a bootcamp because of the structure and network it would provide, and considered data science because it seemed more niche than coding.
Application: I wasn't set on attending Metis, but when the application was harder than I expected, I was determined to get in. With virtually zero coding experience, I had to learn everything on the spot, and honestly that application was the most empowering weekend of my life. And I got in. Whoo!
Prework: I worked right up until the bootcamp started, so it was challenging to finish up there while completing the prework (I enrolled three weeks before the start date). However, the application plus the prework meant that I was prepared for the bootcamp. Would have been really hard to do the bootcamp without the prework.
Bootcamp: Full-time for three months. My boyfriend was annoyed that I was always working on projects, and I probably would have done better on my projects if I'd been single, but alas. Classmates were very supportive (I didn't experience any competitiveness between people). My cohort was unusually small (19 people), which was nice, and the small size of Metis overall meant it felt very personal, but the WeWork environment provided more people to chat with, ping pong, and coffee. Class material was great, and A LOT. Every day we "learned" something that I could have spent at least a week playing around with. There's really too much to learn, and the hardest part of the bootcamp was figuring out how to prioritize between projects, challenges, reviewing lectures, doing the extra readings, and experimenting on my own. The projects were challenging but essential for learning and also provided good presentation experience. Although both of my instructors were very knowledgeable and eager to help, the quality of instruction varied; I think Metis needs to spend more time preparing instructors (because intelligent people don't always teach well, especially not on such a wide variety of tools). Daily pair coding was awesome for the learning and the social aspect, and occasional cohort+staff activities were nice too. Definitely not an easy program! But like most things, you get what you put in, and of course YMMV.
Career support: Awesome career support throughout the bootcamp and beyond. Headshots, resume help, mock technical and non-technical interviews, speakers from the field, etc. Luckily I got a job pretty quickly and didn't need that much help after the bootcamp, because I think supporting the current cohort and the one that just graduated is too much for one person and she was sometimes hard to connect with once the new cohort started.
Job: I got a job! It's a data/backend engineer for an advertising/marketing agency. I don't use any data science per se, but I LOVE my job and I definitely could not have gotten it without the coding I learned at Metis and the opportunity of Metis Career Day, where I met my current manager.
Feel free to call/text me to hear more! 917-583-5942
Before attending Metis, I was a postdoctoral researcher in chemistry who was not feeling academic research anymore. I took some online classes in data science and thought it seemed like a cool and interesting field, but online courses can only take you so far. Also, I lacked enough connections to actual data scientists to really get a job in the field. I got into and applied to several different boot camps to help me bridge this gap, but I really appreciated that Metis did not try to oversell me on my prospects afterwards. Some of the other boot camps could really learn from this no nonsense approach.
Metis helped me bridge that gap between academia and the tech industry through both the data science cirriculum and career workshops. The cirriculum starts out much more lecture focused, but quickly turns to applying that knowledge to actual projects. Lectures include both descriptions of the math behind various algorithms and programming demonstrations showing practical programming/computing skills like web scraping, SQL, and using AWS. Career-wise, weekly workshops helped you to get started on improving your resume, LinkedIn profile, and networking strategies. I felt it was extremely focused and helpful, if a bit intense! (they don't call it a boot camp for no reason.)
By the end of the program, you have a portfolio of projects covering the major areas of data science (Supervised Learning: regression and classification, Unsupervised Learning/Natural Language Processing) and your final passion project. These let you start networking with other data scientists in the field and give you something to talk about!
The other people in my cohort were also wonderful. It was a pleasure to interact with people of such diverse professional and personal backgrounds. I felt like I not only met a bunch of professional contacts but also some great new friends.
The boot camp just ended last week, but I have met so many new contacts that I don't think it will be too long to find the right position. The boot camp also offers indefnite career support and lets you return to the office as much as you need. Even a lot of the alumni who already found jobs come back on a regular basis and offer career/interview advice if you ask.
The only thing I think could be better about the curriculum is that there could have been more feedback about projects/challenges. It seemed like it came a bit late or inconsistently. Also, we went over the basics of Big Data tools like Hadoop/Spark, but it felt a little out of place since we never used it.
The one last thing I would add is that this is called a boot camp for a reason. Be sure that you are mentally and emotionally prepared, because while it was a wonderful experience, it was a very intense one. I'm glad that my cohort was such an amazing, positive, and passionate group of people to help me (and everyone else) get through this experience.
Prior to attending Metis I was a data analyst for a market research company. At the time, I was ready to leave my company for a new position, and so I conducted a search for new analyst or data scientist roles. I had trouble finding a good opportunity, and I found that I wasn't competitive for the data scientist positions to which I applied.
Metis helped me change that. After 3 months of bootcamp and a couple more of job searching, I got a GREAT data scientist position.
Metis is valuable because you learn a lot, and you apply that knowledge to concrete projects that show organizations what you can do. You should end the bootcamp with presentations, github repositories, and blog posts that form a portfolio to help you get hired as a data scientist.
The Metis network of alumni, staff, and companies that often hire Metis grads is also indispensable in hooking you into the data science scene and making opportunities known to you.
To comment on the day-to-day aspects of the bootcamp, the curriculum is full of useful material, and each morning's pair programming assignments really complement the material that we learn in the lectures. My one complaint here is that some of the algorithms and code examples were not explained very clearly in the lectures; I think specific lectures could have been a lot better. That said, lectures are where the learning starts, but then you continue by using the material and asking follow-up questions, so there's always opportunity to understand what you didn't before.
The instructors were great. They're very knowledgeable and always willing to help. During my job search, one of the instructors volunteered to help me prepare for a presentation that I had to give in an interview. Another instructor agreed to drill me on algorithm questions for an hour in preparation for another interview. I'm super grateful for their help.
Lastly, the individual career coaching was incredibly helpful. It's just great to have an experienced person giving you advice and helping you practice for interviews and whatnot. My only gripe here is that the career coach seems like she's got a few too many balls in the air at one time, so I had to be more aggressive about following up on certain things. On the upside, Metis seems to be very interested in feedback and making improvements, so I expect that issues will be ameliorated over time.
All in all, Metis was well worth the cost. I was able to make the career leap into data science that I wanted to make, as well as meet a great group of friends and colleagues!