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T-107, Steinman Hall
140th St. & Convent Ave.,
New York, NY 10031, USA
June 19, 2017
Mon, June 19, 2017
6:00 PM – 9:00 PM EDT
315 Hudson St
New York, NY 10013
*Note: Capacity is limited to the first 75 attendees. First come, first serve.
*Note: Intro to Python for Data Science is free!
Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science.
In this practical data science workshop, you will learn foundational skills for adding Python to your data science and analytics toolbox. A professional instructor from GalvanizeU will guide you through analyzing data in Python by writing scripts and taking advantage of handy libraries, such as Numpy and Pandas. You’ll leave this session equipped to write your own Python scripts to analyze data and instructor recommendations about next steps to take on your pathway to data science.
This Meetup is for beginners and does not require prior programming experience. Participants who are familiar with concepts of data analysis and statistics will be better equipped to apply their skills after the conclusion of this workshop.
What You'll Learn:
• How to view and analyze data sets with Python
• How to write and run Python scripts
• Which libraries and packages are most useful for analyzing data in Python
• Why Python is a flexible, versatile language for doing data science
• Which resources you should next utilize to develop your skills
6:00 pm - Networking & Announcements
6:30 pm - Why Use Python for Data Science?
6:50 pm - Working with Python’s NumPy, SciPy
7:50 pm - Working with Pandas (DataFrames)
8:30 pm - Statistical Analysis in Python
9.00 pm - Wrap-Up and Additional Resources
To learn more about Galvanize, visit galvanize.com
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