TODAY: Beginner Python & Math for Data Science Course Starts Enroll Now
We are currently able to accept applicants for the live online bootcamp from the states listed below. We still encourage you to submit an app even if your state is not listed so we may notify you when we are able to move your application forward.
Metis accelerates data science learning for individuals, companies, and institutions through online education, corporate training and immersive bootcamps. Courses are taught by expert data science practitioners, integrating project based learning with real datasets.
Yes. Kaplan, Inc. launched Metis in 2013 and has been awarded accreditation by the Accrediting Council for Continuing Education & Training (ACCET) for all Metis data science programming since 2014. Unlike other bootcamps that are only state licensed, we are also held accountable for nine rigorous standards prescribed by ACCET to maintain accreditation. This includes a team of industry specialists approving the Metis curriculum, instructional delivery, and monitoring job placement outcomes of our graduates.
Metis runs all bootcamp and bootcamp prep courses via live online delivery.
The beauty of the Live Online format is that you’re taught by our industry-leading instructors live, but can attend class sessions from literally anywhere you have an internet connection. Unlike some other online course options out there, which might consist of pre-recorded lectures, our courses allow for interaction with the instructor, teaching assistants, and other students, and because these are on a set schedule, you’ll be motivated to actually attend, do the work, and learn the material (which is what you’re really here for anyway!).
Our research shows a still-growing demand for qualified individuals for positions in the field of data science. This is largely driven by the exponential growth of available data (2.5 quintillion bytes of data are created daily and 90% of the world’s data was created in the past two years) and the narrow set of specific skills required to extract value from that data. As a result, the number of data-related job postings has surged and median salaries have risen as well, leading to “data scientist” becoming the best job in America in 2016 and 2017 according to Glassdoor.
We’ve certainly seen variation in regards to what employers have in mind when they use these terms, so please consider the answers below as general guidelines.
A Data Analyst is someone who creates and communicates insights from data to measure outcomes, make predictions, and guide business decisions. Often, there is a lighter coding burden placed upon someone with the title Data Analyst, though they may be expected to know certain languages or packages in R or python.
A Data Engineer is the designer, builder, and manager of the information or "big data" infrastructure. Each develops the architecture that helps analyze and process data in the way the organization needs it – and they make sure those systems are performing smoothly.
The term Data Scientist is used the most broadly. A job posting for a Data Scientist might describe a role identical to others calling for “data analyst,” though there is usually more diverse coding skills needed for a data scientist job. For the most part, data scientists are asked to participate in the entire cycle of problems and solutions. They help identify opportunities for companies to use data, while also finding, collecting, and integrating relevant data sources, performing analyses of varying degrees of complexity, writing code and creating tools that teams and businesses can use over time, and telling the story of what they’ve done to company stakeholders.
We believe we are different in several key ways:
Instructional Quality: Our Data Scientists are the individuals responsible for instructing our intensive bootcamps, among other year-round tasks. They represent a wide swath of expertise and come from educational and professional backgrounds spanning physics, business, neuroscience, engineering, healthcare, academia, and more. They are the primary reason that our bootcamp is successful cyclically and they push the student experience to the next level.
They’ve not only studied all of the material in our curriculum closely, but they’ve put it into practice at some of the top companies, organizations, and institutions in the country and beyond.
Curriculum: We take an iterative, project-centered approach to our data science bootcamp curriculum. On each of the five projects, we teach students how to identify the problem, extract and clean data, analyze and interpret data, and communicate the results, both visually and orally in a presentation. We focus on the full lifecycle of being a data scientist, rather than just teaching theory or just teaching tools and technologies.
Career Support: Our career services team offers valuable tools and coaching before, during, and after the bootcamp to help students achieve their individual goals. You’ll have one-on-one meetings with your career advisor, exposure to industry experts via our in-class speaker series, workshops focused on resume writing, LinkedIn, and salary negotiations, mock technical interviews with professional data scientists, and more. Our team provides personalized and ongoing support to each student during and after the bootcamp.
Accreditation: Metis is an accredited data science bootcamp. In order to keep our courses running, we must adhere to certain regulations determined by the Accrediting Council for Continuing Education and Training (ACCET). Our future is directly tied to our ability to help students get jobs related to data science.
We are currently able to accept applicants for the live online bootcamp from only the following states. We are seeking to gain approval in the remaining states and will keep the list up to date here. If you’d like to receive an update from our Admissions team when we receive approval to accept applicants from your state, please email [email protected]
The live online bootcamp is held virtually using Zoom. Instruction will be delivered in real time with live simulcast lectures. Students will interact with their Instructors, Teaching Assistants and classmates using Zoom and Slack. Lectures will take place in the main zoom room, and breakout zoom rooms will be used for live online students to collaborate during pair programming exercises and for 1:1s with their Instructors and Teaching Assistants.
Yes, it requires a full-time commitment Monday through Friday. The bootcamp is offered on two different schedules so you can apply to the one that best meets your needs: 9:30 - 5:30 ET and 11:30 - 7:30 ET.
No, a job is not guaranteed. However, we do guarantee to:
Our hiring network spans many industries and cities like Chicago, New York City, Seattle, and San Francisco.
Tuition for the Metis Data Science Bootcamp is $17,000. A deposit of $1,500 is required within 7 days of signing the enrollment agreement to secure a spot. After making the deposit, students have the option of paying in three monthly installments. We also partner with Skills Fund and Climb for affordable financing options. As our third party financing partners, they both offer several monthly repayment options for our students accepted to the bootcamp. Learn more by visiting Skills Fund or Climb.
Yes. Women, members of underrepresented demographic groups*, members of the LGBTQ community, and/or veterans or members of the U.S. military are eligible to receive a $3,000 scholarship toward their Metis Data Science Bootcamp tuition. Applicants eligible to receive the scholarship will submit a scholarship application form upon acceptance. Metis offers up to 30 scholarships per cohort.
* Underrepresented demographic groups include African Americans, Mexican-Americans, Native Americans (American Indians, Alaska Natives, and Native Hawaiians), Hispanic and Latino Americans, Pacific Islanders, and mainland Puerto Ricans.
Admission to the Metis data science bootcamp is selective and comprised of three phases.
At each of the 3 stages, the admissions committee will review your application and determine your preparedness to succeed in our bootcamp. We assess applicants on (1) programming experience, (2) statistics experience, (3) communication skills, (4) personality traits of curiosity, grit, and passion, (5) motivation to join the bootcamp and (6) their potential overall fit within Metis. If the admissions committee agrees that the person has the potential to succeed in the program, the applicant is informed in writing of their acceptance within two weeks of the interview.
Not sure if your skills and experience are strong enough for the Data Science Bootcamp? Try scoring yourself using this brief self-assessment:
Statistics total = _____
Programming total = _____
Personality total = _____
If you scored a six or greater in each of the above categories, you may be the kind of person we’re looking for. Of course, the bootcamp itself will be much more challenging, involved, and technical, but this assessment highlights the combination of skills, interests, and personality we think are necessary for a seriously considered application.
If you’d like to enhance your math, python, and overall data science skills prior to applying, we’d recommend considering one of our part-time bootcamp prep courses. Gain the skills you need, and apply your tuition paid from one course towards the bootcamp.
Or sign up for our Metis Admissions Prep and develop your data science fundamentals for free!
A computer science program tends to be more broad and theoretical. Our bootcamp focuses on applications, so the computer science material covered within the bootcamp will be narrowly focused on topics in data structures, algorithms, input/output, and Python language that are pertinent to the data science workflow.
In addition, we cover topics in statistics and machine learning that are not computer science, per se. We also focus on the soft skills that make data scientists so valuable such as communicating results, working with deadlines, combating perfectionism, and setting expectations.
Some experience in both programming and statistics are necessary. Further background in either one is helpful but not critical for overall success this bootcamp. Students jump into solving problems directly, which requires the use of Python skills and statistics knowledge together. If it applies to you, you will certainly learn more in the area you’re currently less versed in, meaning you will graduate from the bootcamp feeling strong and qualified in both.
Students build a strong foundation in the Python language, the unix/linux command line, machine learning packages such as scikit_learn, other Python modules including numpy, pandas and matplotlib, web scraping packages like BeautifulSoup and Selenium WebDriver, PostgreSQL and mongodb databases, collaborative coding under version control with git, working on with cloud computing, custom visualization tools.
They will also learn about, and become comfortable with, distributed algorithm frameworks such as Hadoop/MapReduce and Spark.
Completing the pre-work is essential to obtaining the foundational knowledge necessary to successfully start the Metis Data Science Bootcamp and setup your software. Each student should expect to spend approximately 60 hours on tutorials as they become familiar with Python, take a Command Line Crash course, go through a number of package installation tutorials (i.e., Numpy, Scipy, pandas, Scikit.learn), and do some preliminary linear algebra and statistics work.
The pre-work is intended to provide students with the essential background and foundational knowledge they’ll need in order to start the bootcamp and hit the ground running.
You will need your computer, your brain, and a readiness to learn. Your computer needs to run OS X and have at least 4GB RAM, 2GHz, and a 100 GB HD. Alternatively, if you are a Windows user and your computer is fairly powerful, you could run a Linux Virtual Machine inside your normal Windows install. This requires some configuration.
You will complete five data science projects throughout the bootcamp. At the beginning, you follow along with the instructors as they guide you, but as you learn more, your control over each project increases. You soon make your own choices when tackling data science problems, and with each project, you get concrete, shareable results like blog posts, graphs, and/or reports, and you will conclude with a story of what the problem was, how you approached it and solved it, and what the results look like. The final project is your passion project, during which you have full control from start to finish. Aside from giving you hands-on data science experience and confidence, these projects provide you with stories and outcomes as a great way to demonstrate your abilities to potential employers.
Our more than 1,100 alumni have diverse educational and professional backgrounds. From finance to analysis, and academia to marketing; We’re proud to feature their stories and highlight the many paths to becoming a data scientist. Learn more about our alumni and their backgrounds by reading our infographic: Metis Bootcamp Alumni By The Numbers.
We know everybody learns differently, and like to highlight that bootcamps aren’t for everyone; Likewise, master’s programs or self-study might not be for you either. Aside from the differences in length and costs of a master's program, we've seen that most master's programs tend to be more theoretical, while Metis has a higher emphasis on the practical application of data science, getting you ready to re-enter the workforce with all the necessary skills. Similarly, self-study can be great for some, but we’ve learned that many students come to us because of the need for a structured learning environment.
Metis offers three part-time courses:
Python for Beginners: This beginner-level live online course is designed to provide an introduction (or refresher) to the fundamentals of the Python programming language essential for succeeding in the bootcamp.
Beginner Python & Math for Data Science: This course is for absolute beginners looking for an introduction into the basic Python programming skills and mathematical essentials critical for succeeding at the Bootcamp application technical assessment.
Introduction to Data Science: This course provides a well-rounded introduction to the core concepts and technologies taught in the bootcamp, including basic machine learning principles and hands on coding experience.
To compare the course curriculum side-by-side, visit our bootcamp prep page.
Our part-time courses typically run two nights per week over the course of 3-6 weeks, totaling 12-36 hours of instruction. You can see the full schedule here – we consistently add new courses, so be sure to check back routinely.
We offer Live Online bootcamp prep courses at various pricing. Our Python for Beginners course costs $299, while our Beginner Python & Math for Data Science and Introduction to Data Science are $750 each. As a Metis Alumni, the amount of tuition paid for one part-time course can be applied to an upcoming Data Science bootcamp upon admittance.
Our instructors are all working in industry and have extensive experience working in data science roles themselves. Read our instructors’ bios here.
Yes, we currently offer both of our part-time courses in a Live Online format. Students interact with their instructor and classmates in real time in a virtual Zoom classroom and connect with them outside the classroom in a dedicated Slack channel. Recordings of all classes are provided.
It does not, simply because we evaluate each and every bootcamp applicant the same way in order to ensure fairness. However, if accepted to the bootcamp, you do have the advantage of applying the amount of one part-time course tuition toward the bootcamp tuition, so you essentially got your part-time course for FREE.
Yes, certificates are available upon request.
To learn more about our online events and how to register, please visit our events page.