Upcoming Events at Galvanize Seattle - Pioneer Square
Mon Jul 9, 9:30 PM - Wed Aug 15, 11:30 PM
Galvanize Seattle - Pioneer Square
111 South Jackson Street, Seattle, WA 98104
Community: Downtown Seattle
Description
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.
Event Details
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 AgendaMondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: July 9 and July 11
Week 2: July 16 and July 18
Week 3: July 23 and July 25
Week 4: July 30 and August 1
Week 5: August 6 and August 8
Week 6: August 13 and August 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 ScopeSecond Class: Lab 1:
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 AgendaMondays & Wednesdays, 6:30 pm – 8:30 pm
Week 1: July 9 and July 11
Week 2: July 16 and July 18
Week 3: July 23 and July 25
Week 4: July 30 and August 1
Week 5: August 6 and August 8
Week 6: August 13 and August 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 ScopeSecond Class: Lab 1:
