Data Science Fundamentals: Intro to Python
Tuesday, 6:00pm - 8:00pm MST
515 E Grant St
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 workshop, you’ll learn how to program in Python; after completing the 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:
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 Phoenix Data Science Immersive. This course is designed to help you meet that bar.
A desire to learn.
Note: Previous programming experience can be helpful but is not necessary.
• 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 - Thursday 6:00 pm – 8:00 pm
Full Course Outline:
Introduction to git, Github, Unix, Downloading software (Anaconda, git, sublime)
Variable assignment, Variable declaration, Loops, Control flow, Logic
Introduction to Python data structures, Python libraries, Lists, Strings
Tuples, Dictionaries, and Sets
Functions and Scope
Lab 1: Linking it all together
Object Oriented Programming (OOP)
Lab 2 – OOP
Introduction to Pandas, Dataframes
DataFrame operations, Numpy
Introduction to Statistical Modeling – SciKit Learn and Statsmodels
Cost of the entire course: $899.00 + Eventbrite registration fees.
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 Lara at email@example.com.
-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 firstname.lastname@example.org for more details.