Python Fundamentals: Data Science Immersive Prep (Austin: 10/1/19 - 11/7/19...

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Galvanize Austin

119 Nueces Street

Austin, TX 78756

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Are you interested in learning more about 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:

  • 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.


Prerequisites:
A desire to learn.

Note: Previous programming experience can be helpful but is not necessary.


Weekly Agenda
Tuesday & Thursday, 6:30 pm – 8:30 pm

Week 1: October 1st & 3rd
Week 2: October 8th & 10th
Week 3: October 15th & 17th
Week 4: October 22nd & 24th
Week 5: October 29th & 31st
Week 6: November 5th & 7th

Full Course Outline:

Week 1:
First class:
Introduction to git, Github, Unix, Downloading software (Anaconda, git, sublime)
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 Scope
Second Class: Lab 1: Linking it all together

Week 4:
First class: Object Oriented Programming (OOP)
Second Class: OOP

Week 5:
First class: Lab 2 – OOP
Second Class: Introduction to Pandas, Dataframes

Week 6:
First class: DataFrame operations, Numpy
Second Class: Introduction to Statistical Modeling – SciKit Learn and Statsmodels


Tuition Credit:

100% of workshop payment can be used as tuition credit for our Data Science Immersive. This workshop is intended to help prepare candidates who already have the necessary statistics background for our admissions process. Tuition credit can be applied for any Data Science Immersive cohort that an applicant is accepted to with a start date within 1 year of the completion of the Python Workshop.

For questions, please email Ryan at ryan.hunter@galvanize.com.

Refund Policy

-Cancel more than 48 hours before first class: Full Refund (minus processing fee).
-Cancel within the first week: Charged for 1 day of class, and reimbursed the remaining fees paid for the workshop.
-Cancel after first week: Can apply cost to different program, no refund.

Please contact enrollment@galvanize.com for more details.
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Galvanize Austin

119 Nueces Street

Austin, TX 78756

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