Python for Data Science

STEM (Science, Technology, Engineering, Mathematics)

Grades: 7-9

• 10:00 am Eastern Time (New York Time)

This course will introduce students to the basics of programming in Python - one of the fastest growing in popularity programming languages. Python is widely used in business, finance, economics, science and math. Students will learn how to set up a Python development environment and write computer programs that solve simple yet practical problems, such as solving quadratic equations or systems of linear equations. This knowledge and experience will provide a strong foundation for students to start developing more advanced apps, such as video games or machine learning algorithms or mobile apps (iOS/Android).

George Balayan

MBA - Software Engineer and instructor for UC Berkeley Extension

George has over 11 years of experience in software development. He has taught cars how to drive themselves for over three years. Prior to that, George Balayan built financial trading systems at Bloomberg in New York City and worked for Uber Advance Technology Group as a software engineer implementing data for machine learning pipelines. Balayan has taught a class of about 30 students at Berkeley Data Analytics Bootcamp for 6 months; Wing (a subsidiary of Alphabet) and Amazon are among employers who recruited the graduates of the bootcamp class. George earned a Masters degree in Computer Science from National Research Nuclear University MEPhI (Moscow) and an MBA from Hult International Business School (San Francisco).

Program Calendar:

January 11-22, 2021

(Monday – Friday)

Real-Time Classes Duration:

1 hour & 45 minutes long

(with a 15-minute break).

Max Class Group:

Small class size

(20 students max)