Intro to Python
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 Denver 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.
Monday & Wednesday
6:00pm – 8:30pm
Week 1: Jan 30 & Feb 01
Week 2: Feb 06 & Feb 08
Week 3: Feb 13 & Feb 15
Week 4: Feb 20 & Feb 22
Week 5: Feb 27 & Mar 01
Week 6: Mar 06 & Mar 08
Mondays and Wednesdays, 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