If you are looking to become a data scientist, Metis offers live online bootcamps that could help you reach your goal.
In addition to its four bootcamp offerings, Metis has several bootcamp prep courses to get you ready for their classes, and short immersive courses to build on your skills after graduating.
Read on to learn all you need to know about this coding bootcamp and discover if it is the right fit for you by using our Metis review as your guide.
Metis is a coding bootcamp with a focus on data science and analytics. Beginners have their pick of multiple prep courses that teach them the ropes they need to succeed during the rigorous, fast-paced bootcamp.
No matter the path students choose at Metis, they’ll learn how to use a combination of math and Python to land their dream job. Metis has produced many successful graduates who have gone on to work at companies like Buzzfeed, IBM, Spotify, and Apple.
|Tuition||Data Analytics: $9,000, Data Science/Data Science & Engineering: $14,500, Data Science & Machine Learning: $18,500, Prep Courses: $750, Short Immersive Courses: $3,500|
|Financing Options||Installment Plans, Private Loans, Scholarships, Upfront Payment|
|Start Dates||March 15, March 22, March 29, April 5, April 19, May 3, May 17, June 1, June 14, June 28, July 12, July 26|
|Program Types||Online, Full-time, Part-time, Self-paced|
|Courses||Bootcamp Prep: Beginner Python & Math for Data Science, Introduction to Data Science, Admissions Prep. Bootcamps: Data Analytics, Data Science, Data Science & Engineering, Data Science & Machine Learning. Short Immersive Courses: Exploratory Data Analysis, Linear Regression & Web Scraping, Business Fundamentals for Data Practitioners, Machine Learning Classification, Natural Language Processing and Unsupervised Learning, Deep Learning Fundamentals, Introduction to Data Engineering|
All of Metis’s courses are based on a live online format. This format allows students to participate in lectures, group projects, and more from the comfort of their own homes or the workspace of their choosing.
Tuition depends on your course but ranges from a low of $750 to a high of $18,500. Metis offers three part-time bootcamp prep courses: a free self-paced Admissions Prep course and two courses at $750 each that focus on Python, math, and data science.
Bootcamps cost from $9,000 for Data Analytics up to $18,500 for Data Science & Machine Learning. All of the Metis short immersive courses cost $3,500 each.
Students can pay their Metis bootcamp tuition using a number of options, including payment plans, private loans, and scholarships. Upfront payment is the only option for the bootcamp prep and short immersive courses.
Metis offers a $3,000 scholarship for women, members of underrepresented groups, the LGBTQ community, and U.S. military veterans attending the data analytics bootcamp. For the other bootcamps, the scholarship covers $3,000 of the tuition price.
Metis has a partnership with Skills Fund and Climb Credit enabling students to pay for their bootcamps with monthly loans. The Climb Credit standard loan tenor is 36 months, and Skills Fund offers both 36-month and 60-month payment plans.
Students have the option of paying their deposit and working with the finance team at Metis to work out a zero-interest payment plan.
Metis does not accept the GI Bill for their live online courses at this time.
If you’re looking for a fresh start in data science, Metis is the place for you. Even if you don’t have any experience with data, the Metis prep courses will bring you up to speed on the math and Python concepts you need to know.
If you do have data experience, you can apply for the bootcamps directly. Metis also offers short courses to help data experts upskill in specific aspects of data science.
At six weeks, the Metis Data Analytics Bootcamp is the shortest and most inexpensive option offered. But it still teaches students how to analyze data while helping them build a portfolio to show prospective employers.
Over the course of six weeks, students learn how to use Python and SQL to web scrape, plot linear regression, and analyze business data before learning how to present data, manage projects, and understand the ethical implications of their data.
The 10-week Metis Data Science Bootcamp is a more in-depth version of the Data Analytics course, adding new concepts in a longer format. Students start by learning the same tools from the Data Analytics Bootcamp over the course of six weeks.
Through the course of four additional weeks, they learn about machine learning classification, natural language processing, and unsupervised learning.
This 10-week data science course differs from the previous courses by equipping students to work as data engineers instead of data scientists or data analysts. To that end, this bootcamp removes the business data analysis, ethics, and presentation elements from the curriculum.
Students learn about advanced coding and cloud computing along with big data to prepare them to build the systems that data analysts and scientists use to view data and draw conclusions.
This 14-week course adds a deeper focus on machine learning tools on top of the data science curriculum. Students learn everything from the data science curriculum, but at the end of 10 weeks, they switch to the machine learning modules.
Students spend two weeks on deep learning fundamentals like neural networks and sequence modeling. Then, they shift gears to lessons in advanced coding, cloud computing, and big data in the final two weeks.
These courses help students upskill in a specific data science or machine learning concept in two weeks. The topics, including deep learning fundamentals, exploratory data analysis, and linear regression, are standalone modules from the longer bootcamps.
Metis calls its Data Science Bootcamp selective, but it offers every student a fair chance. Potential Metis applicants have a robust slate of prep courses to help them prepare for the thorough technical challenges they will face during the application process.
Metis follows a three-step application process to evaluate prospective students.
First, you’ll submit your online application, which is then reviewed by the admissions committee. The application covers your work and educational background, technical skills, and goals after graduation.
If your application moves forward, the admissions team will invite you to a non-technical interview which lasts for 30 minutes. This interview helps Metis determine if you’re a good personal fit for the program and if it can help you meet your goals.
If you advance to the final round, you’ll be invited to complete a technical challenge covering algebra, calculus, probability, statistics, and Python over the course of three hours. You’ll learn within two business days if you’ve been accepted into the program.
Throughout the three-stage process, Metis assesses applicants on six points:
Metis offers three prep courses that build on top of each other in sequence. Taking these three courses in order gives candidates everything they need to pass the technical portion of the Metis application process.
Metis is worth it if you’re sure that you want to go into a data science career. Besides the cutting-edge curriculum, students get access to career support services that include mock interviews and more. Graduates can also take advantage of the vast network of hiring partners that Metis works with.
But Metis is solely for people that want to start working in data. If you’re interested in other computer science fields like UX/UI design and software engineering, Metis won’t be able to help you.
Metis does not offer a job guarantee for any of its programs.
If you’re interested in learning about data science from experts with years of industry experience, then Metis could be right for you. At this time, Metis courses are only available for applicants in 33 states of the US, so you should check their website to ensure your state is covered.
Keep in mind that you’ll only learn the Python skills at Metis you need for conducting data science operations. If you’re interested in other computer science fields, you may need to build up your Python skills elsewhere.