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Data Science Fundamentals: Intro to Python

November 7 @ 6:30 pm - 8:30 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 Seattle 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.

Weekly Agenda
Mondays & Wednesdays, 6:30 pm – 8:30 pm

Week 1: Oct 10 & 12
Week 2: Oct 17 & 19
Week 3: Oct 24 & 26
Week 4: Oct 31 & Nov 2
Week 5: Nov 7 & 9
Week 6: Nov 14 & 16

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: $1,900.00 + Eventbrite registration fees.

For questions, please email Lee at lee.ngo@galvanize.com.

Registration closes on FRIDAY, OCTOBER 7th at 5pm – spots are limited!


November 7
6:30 pm - 8:30 pm


Galvanize – Pioneer Square Seattle
111 S Jackson Street
Seattle, WA 98104 US


Galvanize Seattle