Beginner Python & Math Sample Class with Jonathan Balaban - Register for 6/27 Class

Accredited Professional Development Course

Beginner Python and Math for Data Science

Offered Live Online Only

Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover:

  • 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

Who the course is designed for:

For beginners who want to learn data science from scratch and have no prior experience with fundamental Python programming and math concepts. Whether you’re considering a new career in data science, you want to understand the basics in order to advance in your current career, or you want to be able to communicate more effectively with data-oriented colleagues, you’ll complete this course with a solid understanding of some of the basic skills required.  The only prerequisite is to have Python installed.


  • The ability to write basic Python code such as functions, data manipulation, and visualization.
  • 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.
  • Ability to tackle courses in data science, particularly our Introduction to Data Science and Statistics courses.
Have questions? Get answers to frequently asked questions. FAQs

What you'll receive upon completion:

  • Certificate of completion
  • Certificate link and instructions on how to add to your LinkedIn profile
  • 3.3 Continuing Education Units

Dates & Instructors

Live Online

Beginner Python and Math for Data Science

July 16 to August 22

Mondays and Wednesdays

6:30 - 9:30pm Pacific Time

Jonathan balaban
Jonathan Balaban

Jonathan Balaban, Senior Data Scientist at Metis, is a consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience. Jonathan has also worked at McKinsey and Booz Allen Hamilton, and he has taught data science at General Assembly. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.

Enroll Sign Up for a Free Sample Class
Live Online

Beginner Python and Math for Data Science

August 13 to September 20

Mondays and Thursdays

6:30 - 9:30pm Eastern Time

Enroll Sign Up for a Free Sample Class


  • 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 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?

Professional development 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.

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 a live online sample class

June 27, 2018

12:00 - 1:00PM Pacific Time

Our 1-hour sample class is a great way to preview what the Live Online experience is like, as well as have a Q&A with the instructor of the course.

Jonathan Balaban instructor of the Live Online Beginner Python & Math for Data Science course, will cover a few sample topics in the sample 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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