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 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.
Tuesday & Thursday
Week 1: Apr 4 & 6
Week 2: Apr 11 & 13
Week 3: Apr 18 & 20
Week 4: Apr 25 & 27
Week 5: May 2 & 4
Week 6: May 9 & 11
Tuesdays & Thursdays, 6:00 pm – 8:30 pm
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