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Intro to Python for Data Science

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  • Galvanize San Francisco, CA

    44 Tehama St., San Francisco, CA (map)

    37.787365 -122.396510

  • *Note: Maximum Attendance 150; first come first serve  

    *Speed up your check-in process by registering via Eventbrite

    What's this Python Session About? 
    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 Meetup, you’ll 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 Meetup.  

    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 

    Meetup Schedule: 
    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 

    Meet Your Instructor: 


    Nir Kaldero is the Director of Science, Head of Galvanize Experts (gX) at Galvanize. As a data scientist and economist, Nir serves on the faculty of the Masters’ of Engineering in Big Data. Before joining Galvanize, Nir was the Lead Instructor for Data Science at General Assembly, a Scholar in the Economics Department at the University of California, Berkeley, and an independent data science consultant. Nir completed PhD coursework in Economics, with application to Industrial Organizations, Finance and Marketing at the University of California, Berkeley, and holds a BA in Economics and Business Administration from IDC Herzliya in Tel Aviv, Israel.  

    *Reminder: register for this workshop via Eventbrite.

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