While understanding data science has never been easier, it helps to have a guide to help you get started on your journey. In this free hands-on workshop with Galvanize, you’ll learn the very basics of data science via the Python programming language.
Our community of staff, students, and professional instructors will guide you through the elementary aspects of Pandas, Matplotlib, statsmodels, and a little scikit-learn, some of the most popular tools in the data science toolbox. We will investigate and visualize data, develop a linear model, and play around in the sandbox if we have time.
What to Bring
Your laptop and charger
Please have the following installed:
What You’ll Learn
• Fundamental concepts of modeling: inference, prediction, and generalizability
• How to create a linear regression model on some real data
• How to use Pandas, StatsModels, and Matplotlib within a Python Jupyter notebook
6:30 pm – Networking & Announcements
6:40 pm – Models: the fundamental concepts
6:50 pm – Setting up your computer in Anaconda for Jupyter Notebooks
7:00 pm – Getting started with Pandas, Matplotlib, and StatsModels
7:30 pm – Exploring a data set and building a linear model
8:15 pm – Wind down, sandboxing & Q&A
8:30 pm – HARD STOP
This is a beginner workshop, but some background on Python in data science would certainly help.
We recommend the following options:
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.