Data Science Fundamentals: Intro to Python (Austin)
$1,200 – $1,500
Data Science Fundamentals: Intro to Python (Austin)

Data Science Fundamentals: Intro to Python (Austin)

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119 Nueces Street

Austin, TX 78701

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*Note: We expect to sell out by January 1st. Be sure to RSVP soon to secure your spot.

Are you interested in learning more 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.

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.


Desire to learn.


• Bring your laptop and power cable.
• Install Anaconda with Python version 2.7 on your machine:
• Install a text editor:
• If you have trouble with installation, we will assist on the first day.

Workshop Dates:

Tuesday & Thursday

6:00pm – 9:00pm

Week 1: Jan 24th & 26th
Week 2: Jan 31st & Feb 2nd
Week 3: Feb 7th & 9th
Week 4: Feb 14th & 16th
Week 5: Feb 21st & 23rd
Week 6: Feb 28th & Mar 2nd

About Your Instructors

Ryan Henning

Ryan Henning is our Lead Instructor. He will teach and oversee the instruction of this course. Software Engineer turned Data Scientist, Ryan worked in industry on a large C++ data acquisition (DAQ) framework as a Software Engineer before returning to academia. In graduate school Ryan researched deep neural networks (deep learning) for image processing and classification, specifically using neural networks to detect leukocoria in photos of children. Leukocoria is a cardinal symptom of a common pediatric cancer, retinoblastoma. Ryan and his colleagues at Baylor deployed this research in an iOS app that is saving lives around the world.

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

Cost of the entire course: $1,500.00 + Eventbrite registration fees.

For questions, please email enrollment at

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 for more details.
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119 Nueces Street

Austin, TX 78701

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