Python Fundamentals: 3 Week Evening Intensive (4/1/19 - 4/18/19)
Event Information
Description
Python Fundamentals
In this three-week workshop, you’ll learn how to program in Python; After completing the three-week course, you’ll be better prepared to begin an Immersive data science bootcamp.
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 Data Science Immersive; this course is designed to help you meet that bar.
Immersive Tuition Discount
If you go on to enroll in the May 2019 Data Science Immersive cohort your Immersive tuition will be discounted by $1000
Prerequisites:
Desire to learn.
Setup:
• 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.
Workshop Dates:
Monday, Tuesday, & Thursday, 6:00 pm – 9:00 pm
6:00pm – 9:00pm
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Week 1: April 1st, 2nd, & 4th
Week 2: April 8th, 9th, & 11th
Week 3: April 15th, 16th, & 18th
Weekly Agenda:
Week 1:- Introduction to git, Github, Unix, Downloading software (Anaconda, git, Atom)
- Variable assignment, Variable declaration, Loops, Control flow, Logic
- Introduction to Python data structures, Python Libraries, lists, strings
- Tuples, Dictionaries, and Sets
- File I/O, Lab: Game Creation
- Object Oriented Programming (OOP)
- Introduction to Pandas, Dataframes
- DataFrame operations, Numpy
- Introduction to Statistical Modeling
Refund Policy