Develop Your Data Science Fundamentals & Prepare to Apply to the Metis Bootcamp
Prospective Metis bootcamp students like you often want to know how to prep for the admissions process and how to gauge readiness. Our answer is Metis Admissions Prep, which our Admissions and Senior Data Science teams engineered to help you build the skills you need to improve your application to our bootcamp. This free tool helps you build your Linear Algebra, Calculus, Probability, Statistics, and Python Fundamentals.
Grow your command of data science fundamentals with expert-developed curriculum that includes exercises for focused practice. You’ll build knowledge in the 5 technical areas our application assesses to help you elevate your skills to a higher level.
Test Your Knowledge
Build your data science knowledge at your own pace and study only the areas you need to develop. For example, if you’re rusty in Calculus and Probability, but feel confident in your Statistics and Linear Algebra fundamentals, then you can skip the
Discover Your Best Next Step
After you complete the modules and accompanying exercises, you should feel more confident about your level of preparation. As an extra step, you can also take our pre-application assessment to determine if you’re ready to apply after the modules. Our admissions team will reach out with your results along with feedback on your best next step. Alternately, to set up a call now, you can book one with admissions using this link.
Module 1: Linear Algebra
Learn how Linear Algebra is different from general algebra and perform exercises with vectors and matrices.
Module 2: Calculus
Pick up the knowledge you need about functions of calculus, derivatives, and integrals, plus discover how to find local minimums and maximums.
Module 3: Probability
Enhance your probability fundamentals by learning about independent and conditional probability and solve combination and permutation problems.
Module 4: Statistics
Brush up on mean, median and mode while studying correlations as well as uniform and gaussian distributions.
Module 5: Python Fundamentals
We are big fans and users of Python, and most of your work in our data science bootcamp will be completed in Python. Deep-dive into the helpful resources we’ve curated to help you program more confidently in Python.