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Accredited Bootcamp Prep Course

Beginner Python and Math for Data Science

Offered Live Online Only

Considering applying to our Data Science Bootcamp 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 Bootcamp 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.

Outcomes

  • The ability to tackle courses in data science, particularly our Introduction to Data Science part-time course and full-time immersive Data Science Bootcamp.
  • 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
  • 3.3 Continuing Education Units

Dates & Instructors

Live Online
$750

Beginner Python and Math for Data Science

July 22 to August 29

Mondays and Thursdays

6:30 - 9:30PM EST

Garrett Hoffman
Instructor

Garrett gets most excited about approaching data problems from a people-first perspective – employing empathy for the end user and using what we know or can learn about complex systems to drive optimal experiences and outcomes. In his current role as Director of Data Science at StockTwits, Garrett leads efforts to use data science and machine learning to understand the network’s social dynamics and develop research and discovery tools that are used by over one million investors. A self-proclaimed “recovering actuary”, he started his career at Xerox, building probabilistic life contingency models for healthcare and retirement plans, designing liability driven asset management strategies and using Monte Carlo techniques to value executive option plans. He holds a BA in Mathematics from the The College of New Jersey and is currently working towards his MS in Computer Science from Georgia Institute of Technology. He is also an alumni of the Metis Data Science Bootcamp. When not working Garrett enjoys playing basketball, going to the gym, keeping up with tech news and working through MOOCs to stay on top of the latest development in AI.

Enroll
Live Online
$750

Beginner Python and Math for Data Science

August 13 to October 29

Tuesdays

6:30 - 9:30PM PST

Dimitri Theoharatos
Instructor

Dimitri received both a BS and MS in electrical engineering with an emphasis in signal processing from Arizona State University. While integrating deep learning algorithms and analyzing their performance at Intel in Phoenix for 3 years, he decided to make the jump into data science and attended the Metis Data Science Bootcamp in San Francisco. Currently, Dimitri applies advanced statistical and machine learning modeling techniques at Scribd, a subscription service for ebooks and audiobooks. In his free time, Dimitri enjoys tennis, guitar, reading, taking courses, and sharing his knowledge with others.

Enroll
Live Online
$750

Beginner Python and Math for Data Science

September 23 to October 31

Mondays and Thursdays

6:30 - 9:30PM CST

Summer Rankin
Instructor

Summer is currently a lead data scientist in the Strategic Innovation Group at Booz Allen Hamilton. She works on projects that involve a range of techniques including: deep learning, NLP, anomaly detection, and performance measurement. She is the technical lead on Project Shakespeare with Dr. Roselie Bright, an Epidemiologist at the FDA where she is using machine learning and NLP techniques to identify indicators for adverse events based on free text (notes) from electronic health records. She is also a graduate of the Metis Data Science Bootcamp in Chicago.

Enroll

Prerequisites

  • 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
Statistics

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.

Earn CEUs for accredited courses.

Not only will you walk away with new data science skills and knowledge, you’ll also earn up to 3.3 Continuing Education Units (CEUs). Our courses are accredited by ACCET, who requires we maintain high standards in areas such as quality of instruction and positive student feedback.

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

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FAQs

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