Our Next Bootcamp Application Deadline is Dec. 6th. Apply Now.

Bootcamp Prep Course

Beginner Python and Math for Data Science

Part-Time, Live Online Course

Considering applying to our Data Science and Analytics Bootcamps 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

Course Co-designer Roberto Reif, Senior Data Scientist, Metis and Gordon Dri, Data Scientist, Oracle
The 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 get accepted and successfully complete the Bootcamp.
Carolina Gonzalez,
Business Intelligence Analyst, Outreach

Who the course is designed for:

Those interested in applying to our Data Science and Analytics Bootcamps 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.


  • The ability to tackle courses in data science, particularly our Introduction to Data Science part-time course and full-time immersive Data Science and Analytics Bootcamps.
  • 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.
Have questions? Get answers to frequently asked questions. FAQs

What you'll receive upon completion:

  • Certificate of completion

Dates & Instructors

Live Online
Discounted Tuition $499 $750

Beginner Python and Math for Data Science

January 10 to February 21

Mondays and Thursdays

6:30 - 9:30PM PST

33% savings on tuition through March 2022. There will be no class on Jan. 17th.

Kevin Chiv

Kevin has a formal background in physics and programming from UC Berkeley. For three years, he built data pipelines for interdisciplinary research labs on and off campus. He previously attended the Metis Data Science Bootcamp in San Francisco and then served as a teaching assistant for three cohorts. He currently works on full-stack data at Doximity while freelancing as a data science consultant.

Live Online
Discounted Tuition $499 $750

Beginner Python and Math for Data Science

February 7 to March 17

Mondays and Thursdays

6:30 - 9:30PM EST

33% savings on tuition through March 2022.

Alison Cossette

Alison is a Director of Data Science in Research and Development at the NPD Group, a global Market Research firm. At NPD, Alison leads Data Science projects focusing on classification, data imputation, customer segmentation. She is also responsible for analyzing and integrating third party data sources that support modeling initiatives for NPD's omni-channel product, Checkout. Alison previously was a Data Scientist in the Healthcare industry after transitioning from a 10 year career in clinical care of Oncology patients. Throughout her medical and analytics experience, Alison has consistently been an educator and mentor including teaching positions at The University of Vermont Medical Center, The Swedish Institute of Allied Health Sciences and Northeastern University. Alison's Masters' studies in Data Science were completed through Northwestern University and is a proud Alum of Metis' Data Science Bootcamp. She lives in Vermont with her husband, 2 young boys and an energetic Chocolate Lab named "Gracie"



  • 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 must have a Github account to get access to the content. Sign-up for an account on their site is free, fast and easy.
  • 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.

Course Structure & Syllabus

Week 1
Python Basics

Get an introduction to programming in Python. Learn how Jupyter Notebooks work, and cover the basics of programming including data structures, data operations, if else statements, for and while loops, and logical operations.

Week 2
Python Advanced

Learn advanced functionality in Python, including functions, debugging, error handling, string manipulations, and writing efficient code.

Week 3
Python Mathematical Libraries

Learn about using libraries that are useful for data manipulation and visualization. Specifically, we will be using NumPy, Pandas, and Matplotlib. These libraries will allow us to load and save data, manipulate data such as aggregating, filtering, detecting outliers, and visualizing.

Week 4
Linear Algebra

Learn the fundamentals of linear algebra, including vectors, and vector manipulations, matrices and matrix manipulations, linear equations and solutions, eigenvalues and eigenvectors.

Week 5
Calculus and Probability

Learn the fundamentals of calculus and gain an intuition for derivatives, integrals, determining local maximum and minimum, and limits. Similarly, we will cover an introduction to probability and learn about random variables, mean, variance, probability mass and density functions, and cumulative distribution functions.

Week 6

Learn the basics of statistics and its applications. Some topics include ANOVA, hypothesis testing and p-value, and confidence intervals.

Live Online Interactive Learning

Learn from world-class data science practitioners.

Our Live Online instructors bring deep industry experience from a broad range of industries and companies including Viacom, Spotify, and Capital One Labs. You’ll have an Instructor and Assistant Instructor to support you throughout your learning process.

Interact with instructors and classmates in real-time.

This course is truly live, which means you can interact with the instructors and your fellow students in real-time. Stay engaged by asking questions and participating in polls and conversations, and join your course Slack channel for additional support, communication, and collaboration.

Learn online without sacrificing the value of live instruction.

The world is your classroom. Log in from wherever you are and gain access to live, interactive data science instruction that will push your career further in the right direction. In case you have to miss a class, you can access all recordings 24/7 to stay caught up and refer back.

Register for an on-demand sample class

Our 1-hour on-demand sample class is a great way to preview what the new Live Online experience is like for the Beginner Python & Math for Data Science professional development course.

Gordon Dri, Data Scientist at Oracle, and instructor of the Live Online Beginner Python & Math for Data Science course, will cover a few sample topics in the on-demand class:

  1. How to setup Jupyter Notebook and begin to write basic Python code
  2. A brief overview of a fundamental math topic from the course
  3. Followed by Q&A


Have more questions? No problem. Schedule a chat with admissions