Curious how best to prepare for the admissions process? Looking to gauge your readiness?
Well our Admissions and Bootcamp Instructor teams engineered our Metis Admissions Prep to do just that! This free tool helps you build your fundamental skills in various areas.
This part-time course is for absolute beginners looking for an introduction into the basic Python programming skills and mathematical essentials critical for entering the data science & analytics bootcamps.
Interact with your 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.
The amount of tuition paid for one part-time course will be applied to an upcoming Data Science & Analytics bootcamp upon admittance. Offer good through 12/31/21 only.
The comparison below highlights the topics covered in Metis Admissions Prep vs. Beginner Python & Math for Data Science vs. Introduction to Data Science and how they relate to topics covered in the Bootcamp application and the Data Science & Analytics Bootcamps curricula.
Math for Data Science: Linear algebra, Calculus, Probability and Statistics
Python Advanced: Numpy, Pandas and Matplotlib
Data Science: Supervised and Unsupervised Learning
METIS ADMISSIONS PREP is a beginner-level, self guided refresher course focusing on basic
mathematical principles needed to start your bootcamp application including top-level introduction to Python.
This tool is perfect for those looking to learn or refresh their knowledge of linear algebra, calculus, probability,
and statistics on their time.
BEGINNER PYTHON & MATH FOR DATA SCIENCE is a beginner-level live online course designed to provide an introduction to the building blocks essential to developing data science skills or forging a new career in the field. This course covers everything you’ll encounter during the bootcamp application process.
INTRODUCTION TO DATA SCIENCE is an intermediate-level live online course that provides 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.
THE BOOTCAMP APPLICATION is 3 steps and requires that students have some experience with programming and statistics. To start, applicants complete an online application by answering background questions and completing a small Python programming exercise. The second step assesses your stats, probability, linear algebra, calculus and Python skills. The final step is an online interview with one of our graduates who now works in the data science industry.
“The Introduction to Data Science instructor’s enthusiasm and ability to explain complex topics made this a great introduction to the fundamentals of data science and Python programming. This course helped prepare me for the Metis Data Science Bootcamp, and I’d highly recommend it to anyone looking to gain a better understanding of concepts taught throughout the bootcamp.”
Data Scientist, JPMorgan Chase & Co.
"This Beginner Python and Math for Data Science course was instrumental in preparing me for the Metis bootcamp application. I was able to improve my Python skills and brush up on my math fundamentals, which ultimately enabled me to get accepted and successfully complete the bootcamp."