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Data Science Fundamentals: Intro to Python (Austin) 5/16-7/22

May 16 @ 6:00 pm - June 23 @ 9:00 pm


Are you interested in learning more data science? You know it’s necessary to be a strong programmer, but you don’t know how to get started. 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 and some exposure to to coding. We suggest checking out a few free online resources for Python before entering the class to understand basic ideas and concepts.


• 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:

Tuesdays & Thursdays

6:00pm – 9:00pm

Week 1: May 16th & May 18

Week 2: May 23rd & May 25th

Week 3: May 30th & June 1st

Week 4: June 6th & June 8th

Week 5: June 13th & June 15th

Week 6: June 20th & June 22nd

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

Cost of the entire course: $1,500.00 + Eventbrite registration fees.

For questions, please email enrollment at enrollment@galvanize.com.

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 enrollment@galvanize.com for more details. 


May 16 @ 6:00 pm
June 23 @ 9:00 pm


Galvanize Austin
118 Nueces Street
Austin, TX 78701 United States


Galvanize Austin