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:
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.
Mondays & Wednesdays, 6:30 pm – 9:15 pm
About Your Instructors
Jack Bennetto (in/jackbennetto) is a recent graduate and data-scientist-in-resident for the Galvanize Data Science Immersive Program in Seattle. Prior to working at Microsoft for 10 years in performance, forensics, analysis tools, and infrastructure, Jack worked at a couple startups in bioinformatics and fantasy sports in New York City. He received his BS from Yale University and PhD in theoretical physics from Rutgers University.
Johnny Sand (in/johnnysand7) is a recent graduate of the Galvanize Data Science Immersive Program in Seattle. Johnny received his BS in Physics from Western Washington University and worked at Team Corporation as a field service engineer and test technician.
Full Course Outline:
First class: Introduction to git, Github, Unix, Downloading software (Anaconda, git, sublime)
Second Class: Variable assignment, Variable declaration, Loops, Control flow, Logic
First class: Introduction to Python data structures, Python libraries, Lists, Strings
Second Class: Tuples, Dictionaries, and Sets
First class: Functions and Scope
Second Class: Lab 1: Linking it all together
First class: Object Oriented Programming (OOP)
Second Class: OOP
First class: Lab 2 – OOP
Second Class: Introduction to Pandas, Dataframes
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 firstname.lastname@example.org.