Interested in learning more data science? In this six-week part-time course, you’ll learn how to program for the field in Python and be better prepared to learn data science like a professional.

This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize's data science instructors and supported by the broader community.

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.

Prerequisites:
A desire to learn.

Note: Previous programming experience can be helpful but not necessary.

Setup (please have this in advance):

• 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.atom.io
• 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: October 9 and October 11
Week 2: October 16 and October 18
Week 3: October 23 and October 25
Week 4: October 30 and November 1
Week 5: November 6 and November 8
Week 6: November 13 and November 15

Full Course Outline:

Week 1:
First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)
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: More 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.

Tuition Credit:

100% of workshop payment can be used as tuition credit for our Data Science Immersive. This part-time course is intended to help prepare candidates who already have the necessary statistics background for our admissions process. Tuition credit can be applied for any Data Science Immersive cohort that an applicant is accepted to with a start date within 1 year of the completion of the Python part-time course.

For questions about this part-time course and our Data Science Immersive program, please email our Admissions Advisor, Lauren Lark at lauren.lark@galvanize.com.

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