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      Python Fundamentals: Data Science Immersive Prep (Austin: 8/20/19 - 9/26/19) in Austin

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      August 20, 2019

      Tuesday   6:30 PM

      119 Nueces St
      Austin, Texas 78701

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      Python Fundamentals: Data Science Immersive Prep (Austin: 8/20/19 - 9/26/19)

      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 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. Prerequisites:A desire to learn. Note: Previous programming experience can be helpful but is not necessary.  Weekly AgendaMonday & Wednesday, 6:30 pm – 9:00 pm Week 1: August 20th & 22ndWeek 2: August 27th & 29th Week 3: September 3rd & 5thWeek 4: September 10th & 12thWeek 5: September 17th & 19thWeek 6: September 24th & 26th 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, StringsSecond Class: Tuples, Dictionaries, and Sets Week 3: First class: Functions and ScopeSecond Class: Lab 1: Linking it all together Week 4: First class: Object Oriented Programming (OOP)Second Class: OOP Week 5:First class: Lab 2 – OOPSecond Class: Introduction to Pandas, Dataframes Week 6:First class: DataFrame operations, NumpySecond Class: Introduction to Statistical Modeling – SciKit Learn and Statsmodels Tuition Credit: 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 Ryan 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. 

      Categories: Science

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.