Python for Data Science Immersive

New York, 115W 30th St.
Python for Data Science Immersive
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  • Art Yudin
  • Beginner
    Skill Level

We’ve taken several steps to protect our associates and students: all seats are located 6 ft apart, people are encouraged to wear masks, and we sanitize our classrooms regularly.


Data Science Immersive is a week-long comprehensive course with an emphasis on the practical application of Python to data analysis. In the first two days we cover Python's built-in data types, explaining differences in the behavior of data structures, laying a foundation for the more complex NumPy and Pandas structures.


A deep understanding of data types prepares users to solve real-life challenges with the right tools in the most efficient manner. Also, it is important to understand why some of the types are faster and some are just an extension of others. In this course we are not covering in-depth mathematical and statistical concepts, rather we master practical usage of the Python programming language and its extensions NumPy and Pandas.

What to expect:

When you sign up for this course, you should also be prepared to work hard. While we do explain all of the concepts thoroughly and have notes on each lesson that you can refer back to, we follow up each lesson with practice problems to reinforce the material. We code almost seven hours a day with breaks for lunch and coffee.


  • Fundamental introduction to Python
  • Python native Data Types.
  • NumPy, Pandas, and Matplotlib
  • NumPy Array, Series, and DataFrame
  • How to write fast and efficient code
  • Data visualization
  • Laptop

Things To Remember

  • Please bring your own laptop to class.
  • We will help you to install all the programs you need in class.
  • If you withdraw one day before the course start date, any deposit paid will be refunded in full.
  • If you cannot attend classes for which you were charged, you could join next cohort and make up the missed classes.