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Metis

Courses: Beginner Python and Math for Data Science, Data Analytics Bootcamp, Data Science & Engineering Bootcamp, Data Science & Machine Learning Bootcamp, Data Science Bootcamp, Introduction to Data Science, Metis Admissions Prep, +1 more.
Short Immersive Courses

Locations

Online

About Metis

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... Read More

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. As always, 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.

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Courses

Beginner Python and Math for Data Science

  • Cost: $750
  • Duration: 6 weeks
Locations: Online
Course Description:

COURSE DESCRIPTION:
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:

Introduction to programming in Python
-Common Python libraries: NumPy, Pandas, Matplotlib
-Foundations of linear algebra
-Foundations of calculus
-Foundations of probability
-Foundation of statistics

WHO IS THIS COURSE DESIGNED FOR:
Those interested in applying to our Data Science Bootcamp but who have little to no prior experience or need a refresher with fundamental Python programming and/or math concepts necessary to succeed at the next level. The only prerequisite is to have Python installed.

OUTCOMES:
-The ability to tackle courses in data science, particularly our Introduction to Data Science part-time course and full-time immersive Data Science Bootcamp.
-An understanding of the fundamentals of mathematical concepts in linear algebra, calculus, probability, and statistics.
-The ability to write Python code to solve mathematical problems using linear algebra, calculus, probability, and statistics.

WHAT YOU'LL RECEIVE UPON COMPLETION:
- Certificate of completion
- 3.3 Continuing Education Units

PREREQUISITES
There are no prerequisites for this course - if you’re an absolute beginner or just interested in data science, this course is for you!
Students only need to be able to install and verify the installation of Anaconda (for Python 3) by running a "Hello World" sample code.

CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?
Part-time course alumni can apply the amount of tuition paid for one part-time course towards enrollment in an upcoming bootcamp upon admittance.

Subjects: NumPy, Matplotlib, Python, Data Science, Pandas

Data Analytics Bootcamp

  • Cost: $9,000
  • Duration: 6 weeks
Locations: Online
Course Description:

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.

Subjects: Data Analytics, Data Science

Data Science & Engineering Bootcamp

  • Cost: $14,500
  • Duration: 10 weeks
Locations: Online
Course Description:

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.

Subjects: Data Analytics, Data Science

Data Science & Machine Learning Bootcamp

  • Cost: $18,500
  • Duration: 14 weeks
Locations: Online
Course Description:

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.

Subjects: Machine Learning, Data Science

Data Science Bootcamp

  • Cost: $14,500
  • Duration: 10 weeks
Locations: Online
Course Description:

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.

Subjects: Data Science

Introduction to Data Science

  • Cost: $750
  • Duration: 6 weeks
Locations: Online
Course Description:

Currently offered Live Online.

COURSE DESCRIPTION

This course serves as an introduction to the data science principles required to tackle real-world, data-rich problems in business and academia, including:

-Data acquisition, cleaning, and aggregation
-Exploratory data analysis and visualization
-Feature engineering
-Model creation and validation
-Basic statistical and mathematical foundations for data science

WHO IS THIS COURSE FOR?

You have a strong desire to learn data science through top-quality instruction, a basic understanding of data analysis techniques and an interest in improving their ability to tackle data-rich problems in a systematic, principled way. This course provides structure and accountability to ensure you stay on track, finish strong, and achieve your desired outcomes.

OUTCOMES

-An understanding of problems solvable with data science and an ability to attack them from a statistical perspective.
-An understanding of when to use supervised and unsupervised statistical learning methods on labeled and unlabeled data-rich problems.
-The ability to create data analytical pipelines and applications in Python.
-Familiarity with the Python data science ecosystem and the various tools needed to continue developing as a data scientist.

WHAT YOU'LL RECEIVE UPON COMPLETION

-Certificate of completion
-3.3 Continuing Education Units

CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?
Part-time course alumni can apply the amount of tuition paid for one part-time course towards enrollment in an upcoming bootcamp upon admittance.

Subjects: Data Science

Metis Admissions Prep

  • Cost: Free
Locations: Online
Course Description:

Develop Your Data Science Fundamentals & Prepare to Apply to the Metis Bootcamp. Register Here: https://www.thisismetis.com/admissions-prep

Metis Admissions Prep is a free online tool that helps prospective Data Science Bootcamp students understand more about how to prep for the admissions process and how to gauge their readiness. Designed by the Metis Admissions and Senior Data Science teams, this tool helps students build their Linear Algebra, Calculus, Probability, Statistics, and Python fundamentals. After studying the modules and accompanying exercises, students will feel more confident about their skills and their next step towards a career in data science.

Short Immersive Courses

  • Cost: $3,500
  • Duration: 2 weeks
Locations: Online
Course Description:

This new offering will enable 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 we're launching 7 courses, ranging in topics from Exploratory Data Analysis (EDA) to Deep Learning Fundamentals.

The first EDA will begin on March 22, 2021.

Subjects: Machine Learning, Data Analytics, Data Science

Metis Reviews

Average Ratings (All Programs)

Overall
Curriculum
Job Support

4.92/5

(96 reviews)
    3/27/2019
  • Kendra Frederick | Data Scientist
  • Data Science Immersive Bootcamp
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"Buckle Up!"

If you are looking for an in-person, immersive 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... Read More

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 expanse 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 knowledgeable -- 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.

Comment
    3/11/2019
  • Andrew | Financial Data Scientist
  • Data Science Immersive Bootcamp
  • Graduated: 2017

Overall Score

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"The fastest way to superpowers!"

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... Read More

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.

Comment
    2/15/2019
  • Michael Burnam-Fink | Data Scientist
  • Data Science Immersive Bootcamp
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"The best possible bootcamp"

I've attended a lot of highly ranked educational institutions, including elite private colleges and the most innovative university in the United States. I have a doctorate, I've worked as a professor, and I've helped design curriculum. So when I say that... Read More

Metis is a 12 week bootcamp, that is truly 9-5 and then some. Each day at Metis begins with pair programming, where you’re given a problem and have to work out a solution with a classmate in about an hour. Pair programming solidifies the concepts that you’ve been learning, and is great practice for technical interviews and the real world. The problems are like those that you’ll see at a technical interview, and you have work with and explain your thinking to, people with a wide variety of backgrounds and levels of technical expertise. Sometimes you’re working with someone with a software engineering background, and you can whip up some kind of nifty recursive solution in minutes. And sometimes you’re the person who has a solution, and you have to help a classmate who’s struggling figure it out.

Mornings at Metis consist of structured instruction; lectures and prepared Jupyter notebooks that demonstrate concepts and best practices in data science. The coursework is brisk, and designed to take you from “What is a list comprehension?” to fancy stuff like implementing deep neural networks on AWS cloud servers. Lectures cover regression, classification, data structures, time series, natural language processing, and neural networks. Afternoons have talks about the job application process, and guest lectures from industry data scientists, as well as short presentations from students on things they’re experts in; everything from A/B testing to getting the most out of the Linux command line.

The meat of Metis are the projects. The first project is assigned, with an imaginary client and a small group, but the four remaining projects are up to you, with only the loosest guidelines, like “use linear regression” or “do unsupervised learning”. The best way to learn data science is to do it, and in projects you’ll learn problem formulation, data collection via web scraping, data cleaning and management, algorithms, and communication, as every project is finished with a four minute presentation to the class. The last presentation is in front of hiring partners at career day. The Metis projects are a great way to build a unique portfolio as a beginning data scientist.

Even though you’re working independently, you won’t be alone. The instructors, I had two in my 22 person cohort, are on hand to answer questions and help you think through your problem, and there are TAs, graduates of the last cohort, to help with debugging. Don’t get too attached to the TAs; they have a tendency to get hired away mid-course.

The bootcamp doesn’t require a lot of mathematical and programming proficiency when you begin. I recommend that you focus on the data science itself, and try and come in as well prepared as possible. Knowing your way around Jupyter notebooks and the Pandas and Numpy libraries will save precious time during the course. I really like Sweigart’s “Automate the Boring Stuff with Python” as as a place to start if you’ve never coded before. For machine learning, Raschka’s “Python Machine Learning” is a great desktop reference; I think half the class had a copy by the end.

I am very satisfied with Metis. The program, staff, other students, and ongoing career support were all top-notch. The only thing which I thought could be improved was the data visualization portion, which was merely serviceable, but I hear that it is being updated for 2019 to take into account Bokeh, Tableau, and Plotly. Obviously, you’ll get out of Metis what you put into it, but if you’re willing to work hard, it is an incredible opportunity.

Comment
    1/30/2019
  • Andrea | Business Data Analyst
  • Data Science Immersive Bootcamp
  • Graduated: 2018

Overall Score

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Job Support

"Cannot endorse Metis strongly enough!"

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... Read More

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.

Comment
    1/4/2019
  • Mark Hayes
  • Introduction to Data Science - Live Online
  • Graduated: 2018

Overall Score

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Job Support

"great intro to data science"

I two took Metis' online courses:

1. Python/Math for Data Science

2. Intro to Data Science

I thought both were very good and definitely worth the money. I was a complete programming beginner but had done some pre-work using Zed Shaw's "Learn Python the Hard... Read More

Class #1 above was the first Metis class I took. Without my preparation I would have been lost, but the prep I did allowed me to keep up with the programming part of the class. The math I fortunately already knew, but it would have been confusing had I not known it. [If you don't know it, then use the class as a menu for what you need to know eventually]. Interaction with the instructor took place via chat window, but he was responsive to Q&A. The course materials (Jupyter Notebooks) were very through and detailed & I've reviewed and re-reviewed afterward and continue to get value from them.

Class #2 built on Class #1 but got more into techniques of statistical modelling. In this class, we spoke with the instructor (not just chat box), which was very very valuable given the subject matter. I thought the course material (again Jupyter Notebooks) was well structured and clearly showed how to run the models using Python code. The instructor was fantastic, even agreeing to have "office hours" before class and hanging out after class for extra Q&A. Way beyond the call of duty, but it replicated a bit the university environment.

In general, I'd highly recommend either course (and I paid myself, no corporate reimbursement). If -- like me -- you are a total beginner, then do some learning on your own before enrolling. It will be very hard to keep up if you go in cold. They cover a lot of material and go fast. But if you're willing to really try and work hard to learn, I bet you'll find good value and a lot of insight to help you on your path. I did.

Comment
    12/4/2018
  • Monica Ramirez | Data Scientist
  • Data Science Immersive Bootcamp
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"Overall experience was GREAT"

Content: It´s an injection of information straight to your brain as expected. You get to see all of the concepts on Data Science and the stats/math underneath, so be sure to make the prework, and during the bootcamp read more or look for videos on any... Read More

Assignments: The most important part are the Projects (every 2/3 weeks) you'll feel you don't have time for anything, but you'll be amazed on how much you learn and get done in a little time, and that's the point. There are 5 projects: the fist of them given to you, very fast (to deliver in just a week), in group with some of your partners, to get the idea of the bootcamp methodology. The next 3 will be individually and chosen by you, each of them to practice a particular topic, methodology or algorithm (Regression, Classification, Supervised/Unsupervised learning, NLP, Neural Networks...). The last one, your "passion project", also individually and chosen by you, can be almost anything you want with what you learn. So the projects are as hard as you push youlself.
There are also other assignments: challenges (like homework that will help you with your assignments) every week, a blog and blog posts (and blog posting culture) every now and then, and two personal investigations during the bootcamp... So you´ll think its a lot but it´s all well structured: Make them all, because all assignments will help you in your projects that are the most important part

Instructors: Since you're learning a wide range of concepts: Statistics, Math, Programming skills, methodologies, libraries... You'll also find different instructors that will give a different focus to the things you are learning. It can be frustrating sometimes not to get a straight forward answer, but at the end you'll find out that Data Science has a lot of points of view and you have to learn to find the best fit for you, so that's what the instructors are doing by helping you find an answer and not giving it straight away. One thing they'll always help you and support a lot with is the fact that no project is wrong and you can move on with any crazy idea even if you think it's impossible, and they'll show you ways of seeing things that you'll only get by practice and experience.

Carrer Support: You'll get very useful workshops: to fix your CV, your LinkedIn profile, your networking and interviewing skills, which is great. There's also people coming over from different companies and Data Science roles to talk about their experience and you can ask them anything! After bootcamp, people from Carrer Support are still in contact with you for help, advice or any questions until you get a job (Or even after, if you need it)
In my case, that's as far as it goes: I was an international student so other support like: visit to hiring companies, salary negotiation skills or networking with hiring partners was not very useful for me (Although I heard it was very useful for my peers), neither do they offer sponsor for a working visa, that depends on the company and I was not very interested at the time. However, back home, with what I learned on the workshops, the tips that they gave me and post bootcamp advice I found a job back home in a couple of months.

Environment: New York's campus is in a WeWork building, there a lot of areas to study in groups or concentrate individually, it's open 24/7 and there are common areas to meet the instructors or your partners regarding bootcamp topics or chat about anything else.

Conclusion: Bootcamp experience is great. Personally I think is a little expensive, but totally worth it. You'll get the tools you need to become a Data Scientist and the culture to keep learning and keep growing. If you're an international student, don't expect to get a job to stay in the US and change your life, but you will come back home in only 3 months, having learned a lot of stuff people take maybe a year to learn and succeed.

Comment
    12/4/2018
  • Jhonsen Dj
  • Introduction to Data Science - Live Online
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"Good Overview of DS"

This review is for intro-to-DS live/online course.
I recently got interested in data science (DS), and I wanted to do a career-transition through the 12-week DS bootcamp offered by METIS. In preparation for the bootcamp, I decided to take the Intro-to-DS... Read More

Comment
    11/20/2018
  • Victoria Clayton | Data Scientist
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"Metis Data Science Fellow"

Before attending Metis I'd done a one week bootcamp and tried learning more data science by myself but struggled to know who to turn to when I get stuck and also didn't really know how to approach the plethora of resources on the internet. Metis gave... Read More

a) the skills across a fairly broad base of topics;

b) the confidence and 'knowing how to learn' to go away and learn by myself;

c) access to a brilliant careers team;

d) a community of people to ask for help and support!

You complete 4-5 projects to practice a range of skills and can tailor those according to your interest. This approach really suited me from the perspective of being able to explore something of interest for a limited period of time.

Comment
    11/1/2018
  • Auste Mastaviciute | Senior Business Analyst
  • Data Science Immersive Bootcamp
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"Intense, eye-opening and fun all-in-one experience"

What an awesome summer of 2018!The bootcamp exceeded all my expectations, I won’t lie, it was bloody hard, but I’d do it all again without hesitation.
My group was brilliant, everyone had such different, interesting backgrounds. We worked together, sharing... Read More

Comment
    10/18/2018
  • Anonymous | Data Scientist
  • Data Science Immersive Bootcamp
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"Metis experience in summer 2017"

I attended the data science bootcamp at Metis in summer 2017. I was from a very different major gearing towards learning more on data analytics, thus in transition of career direction and expertise field at that time. Attending Metis has played a key... Read More

Comment

Metis's average rating is 4.92 out of 5.0 based on 96 review(s).

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