RSVP and Pay ($750-$1,000) here: https://www.eventbrite.com/e/live-online-python-fundamentals-accelerated-62920-71620-tickets-103742472528
In this three-week workshop, you’ll learn how to program in Python. After completing the three-week course, you’ll be better prepared to begin an Immersive data science bootcamp.
100% of workshop payment can be used as tuition credit for our Data Science Immersive (cannot be combined with other workshop discounts).
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
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 a Data Science bootcamp; this course is designed to help you meet the standard skill assessments in a typical interview, including our own.
Self starters and those who learn best in-person, in a classroom, amongst peers.
Immersive Tuition Discount
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. Cannot be combined with any other workshop credit; tuition credit maxes out at $1,000.
Desire to learn.
If you have trouble with installation, we will assist on the first day.
Monday, Tuesday, & Thursday
6:00pm – 9:00pm MST
Week 1: June 29, June 30, July 2
Week 2: July 6, July 7, July 9
Week 3: July 13, July 14, July 16