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Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib. Use machine learning to apply regressions and other statistical analyses to create predictive models. 

In the first half of this hands-on Python course, you will begin by learning the fundamentals of Python code and then transition into more complicated programming tasks.

The second half of the course focuses primarily on data science using Pandas, Matplotlib, and Sci-Kit learn. These packages will teach you how to input, analyze, and graph data. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. You’ll also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

Important Class Notes

  • Schedule: Every weekday from 10 am — 1 pm for four weeks
  • Method of Delivery: Live Online (live-streamed with the ability to ask questions and interact with instructor real-time). If permitted by local health authorities, up to five students can attend in-person in NYC on a first-come-first-served basis for an additional $400). Learn more.
  • Prerequisites & Ages: The program is ideal for high school and college students with a strong interest in coding. Prior coding/programming experience is not required, but students must be comfortable with computer basics. 
  • Computer: Live online attendees should have their own Mac or PC. We will assist with any software setup prior to the course.