Python Fundamentals: A thorough understanding of programming in python!

Monday, 6:00pm - 9:00pm EST

Galvanize NYC
303 Spring St
New York, NY 10013

Dates: Feb. 26th - April 4 | Mondays and Wednesdays from 6-9 PM

Data scientists need to know how to code, and Python is the most useful and versatile programming language for doing data science.

In this practical data science workshop, you will learn foundational skills for adding Python to your data science and analytics toolbox. A professional instructor from Galvanize will guide you through analyzing data in Python by writing scripts and taking advantage of handy libraries, such as Numpy and Pandas. You’ll leave this session equipped to write your own Python scripts to analyze data and instructor recommendations about next steps to take on your pathway to data science.

This course is for beginners and does not require prior programming experience. Participants who are familiar with concepts of data analysis and statistics will be better equipped to apply their skills after the conclusion of this workshop.

What You'll Learn:
• How to view and analyze data sets with Python
• How to write and run Python scripts
• Which libraries and packages are most useful for analyzing data in Python
• Why Python is a flexible, versatile language for doing data science
• Which resources you should next utilize to develop your skills


Python for Data Science
The main objective of this course is for you to leave with a fundamental understanding of programming within Python. If this is your first programming language, then you will feel a very steep learning curve. The goal of this course is to assist you with overcoming that learning curve, so you can not only continue to grow in this environment but also start learning from the vast amount of information that is available to you through the online community.

Having a strong foundation in math/statistics and programming is imperative to success in the data science world. The aim of this course will be at the foundation of programming. Often the most difficult part is just getting started. We are here to help with that process.

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
Programming 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 New York Galvanize Data Science Immersive; this course is designed to help you meet that bar.


A desire to learn.


Bring your laptop and power cable
Execute the instructions in the Installation Guide prior to day 1
Weekly Agenda:

Mondays & Wednesdays, 6:00-9:00 pm

Full Course Outline:

Week 1: Feb 26th
First class: Introduction to git, Github, Unix, Downloading software (Anaconda, git, Atom)
Second class: Variable assignment, Variable declaration, Loops, Control flow, Logic
Week 2: March 6th
Second Class: Introduction to Python data structures, Python Libraries, lists, strings
First class: Tuples, Dictionaries, and Sets
Week 3: March 13th
First Class: Lab 1: Function and Scope
Second class: File I/O, Lab: Game Creation
Week 4: March 20th
First Class: Object Oriented Programming (OOP)
Second class: OOP Continued
Week 5: March 27th
First Class: Introduction to Pandas, Dataframes
Second class: DataFrame operations, Numpy
Week 6: April 3rd
First Class: Introduction to Statistical Modeling
Second: Lab 2 - OOP
Interested in the Galvanize immersive program in data science? As part of the admissions process for the Data Science immersive program, there are two interviews: Python and statistics. These materials survey the areas of probability and statistics that will be covered in the statistics interview. In addition to the overview there are resources for further study that are meant to reinforce the most important topics.You can submit your application here. For more information visit the Admissions data science FAQ page

Tuition Credit: 100% of this part time course payment can be used as tuition credit for our Data Science Immersive program. Candidates must enroll in an immersive that begins within 1 year of the completion of their part time course(s).

About Galvanize

Galvanize is the premier dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:

Education - part-time and full-time training in web development, data science, and data engineering

Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth

Networking - events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit galvanize.com.

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