Data Science Fundamentals: Intro to Python (San Francisco – 2.20 – 3.27)

Data Science Fundamentals: Intro to Python (San Francisco – 2.20 – 3.27)
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Date/Time
Date(s) - 20/02/2019 - 27/03/2019
6:30 pm - 8:30 pm

Location
Galvanize- San Francisco

Categories


Interested in learning more data science? In this six-week part-time course, you’ll learn how to program for the field in Python and be better prepared to learn data science like a professional.

This workshop is for analysts, product managers, statisticians, business managers, and anyone else with little to no exposure to Python. It is taught by Galvanize’s data science instructors and supported by the broader community.

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 San Francisco Data Science Immersive. This course is designed to help you meet that bar.

Weekly Agenda

Mondays & Wednesdays, 6:30 pm – 8:30 pm

Week 1: February 20th

Week 2: February 25th and February 27th

Week 3: March 4th and March 6th

Week 4: March 11th and March 13th

Week 5: March 18th and March 20th

Week 6: March 25th and March 27th

Full Course Outline:

Week 1:

First class: Introduction to Git, GitHub, Unix, downloading software (Anaconda, Git, Atom)

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: More OOP

Week 5:

First Class: Lab 2 – OOP

Second class: Introduction to Pandas, DataFrames

Week 6:

First class: Lab 2 – OOP

Second class: Tieing it all together

Cost of the entire course: $2,100.00 + Eventbrite registration fees.

Questions?

For questions about this part-time course and our Data Science Immersive program, please email our Evangelist at [email protected].

Refund Policy

-Cancel more than 24 hours before first class: Full Refund (minus processing fee).
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