Galvanize: Introduction to Python for Data Science – Seattle (7.11)

Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science. In this hands-on workshop, you’ll learn foundational skills for adding Python to your data science toolbox.

Professional instructors from Galvanize will guide you through analyzing data in Python by writing scripts and taking advantage of handy libraries. 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.

Note: Maximum Attendance 40 – Due to space constraints and preserving the quality of education, we will plan to accept only 40 people into this class. If you are interested in a more robust version of this course, consider signing up for Data Science Fundamentals: Introduction to Python, starting on July 18th.

What to Bring: 

• Your laptop and charger (for note taking or to run some code as we walk through the libraries)

What You’ll Learn: 

• How to view and analyze data sets with Python

• How to write and run Python scripts on your own laptop

• 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

Workshop Schedule: 

6:30 pm – Networking & Announcements
6:40 pm – Why Use Python for Data Science?
6:50 pm – Working with Python with various libraries and toolkits
7:45 PM – Applying Python to some statistical analysis
8:15 pm – Wind down & Q&A
8:30 pm – HARD STOP

Meet Your Instructor:

Jack Bennetto (in/jackbennetto) is a recent graduate and data-scientist-in-resident for the Galvanize Data Science Immersive Program in Seattle. Prior to working at Microsoft for 10 years in performance, forensics, analysis tools, and infrastructure, Jack worked at a couple startups in bioinformatics and fantasy sports in New York City. He received his BS from Yale University and PhD in theoretical physics from Rutgers University.

Prerequisites: 
This is a beginner workshop. This workshop does not require programming experience, but some background on Python would certainly help. Participants who are familiar with concepts of data analysis and statistics will be better equipped to apply their skills after the conclusion of the workshop.

About our Sponsor

Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:

• Education– part-time and full-time training in web development, data science, and data engineering
• Workspace– whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth
• Networking– events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit galvanize.com.

If you are interested in a more robust version of this course, consider signing up for Data Science Fundamentals: Introduction to Python, starting on July 18th. More information about it below:

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