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Galvanize Data Science Fundamentals | Intro to Python – Boulder

March 14 @ 3:00 pm - April 4 @ 5:30 pm

Intro to Python

In this six-week workshop, you’ll learn how to program in Python; after completing the six-week course, you’ll be better prepared to learn data science.

This workshop is for: analysts, product managers, statisticians, business managers and anyone else who wants to build their Python skills for data science.

What You’ll Learn / Takeaway:

Whether you’ve programmed in other languages or Python is your first, this class will teach you the nuances of Python and how to use them to your advantage in your data science projects. Here’s what you’ll learn:

    • Environment Setup
    • Data Scientist Workflow
    • Ins and Outs of Coding Pythonically
    • Object Oriented Programming
    • Popular Data Science Libraries including Matplotlib, Pandas, Numpy, Sklearn

Who Should Take this Class? 

For those of you interested in learning to program in Python, so you may be better prepared for self-study in data science, this course will help you get up to speed.

Those of you who are interested in gaining the skills required for admittance to the Data Science Immersive; this course is designed to help you meet that bar.


Desire to learn.


• Bring your laptop and power cable.
• Install Anaconda with Python version 2.7 on your machine: http://docs.continuum.io/anaconda/install.html
• Install a text editor: http://www.sublimetext.com/
• If you have trouble with installation, we will assist on the first day.

Workshop Dates:

Tuesday & Thursday

6:00pm – 8:30pm

Week 1: Apr 4 & 6
Week 2: Apr 11 & 13
Week 3: Apr 18 & 20
Week 4: Apr 25 & 27
Week 5: May 2 & 4
Week 6: May 9 & 11

Weekly Agenda:

Tuesdays & Thursdays, 6:00 pm – 8:30 pm

Full Course Outline:
Week 1:

First class: Introduction to git, Github, Unix, Downloading software (Anaconda, git, sublime)

Second Class: Variable assignment, Variable declaration, Loops, Control flow, Logic

Week 2:

First class: Introduction to Python data structures, Python libraries, Lists, Strings

Second Class: Tuples, Dictionaries, and Sets

Week 3:

First class: Functions and Scope

Second Class: Lab 1: Linking it all together

Week 4:

First class: Object Oriented Programming (OOP)

Second Class: OOP

Week 5:

First class: Lab 2 – OOP

Second Class: Introduction to Pandas, Dataframes

Week 6:

First class: DataFrame operations, Numpy

Second Class: Introduction to Statistical Modeling – SciKit Learn and Statsmodels

Refund Policy

-Cancel more than 48 hours before first class: Full Refund (minus processing fee).
-Cancel within the first week: Charged for 1 day of class, and reimbursed the remaining fees paid for the workshop.
-Cancel after first week: Can apply cost to different program, no refund.
Please contact phoebe.quincy@galvanize.com for more details.


March 14 @ 3:00 pm
April 4 @ 5:30 pm


Galvanize Boulder – Walnut Street
1023 Walnut Street
Boulder, CO 80302 United States


Galvanize Boulder