Python Programming 101
5

Wednesday, 5 July

6 9 pm CDT

GA Chicago, SPACE

444 N Wabash Avenue, 5th Floor
Chicago, IL 60611
$60 USD
Regular Ticket
$60 USD
Total

Questions? Read our FAQs

Python Programming 101

Ivan Hernandez Photo


Instructor, DePaul University

5

Wednesday, 5 July

6 9 pm CDT

GA Chicago, SPACE

444 N Wabash Avenue, 5th Floor
Chicago, IL 60611
$60 USD
Regular Ticket
$60 USD
Total

Questions? Read our FAQs

About This Class

Unlock data-driven insights with code.

Explore the intersection of coding and data with General Assembly. During our Python-focused introductory workshop, you’ll learn to harness the power of an essential programming language for data scientists and use it to drive accurate business insights. Working with real-world examples, you’ll:

  • Touch on fundamental Python programming techniques and tools.
  • Discover the history of Python and how it compares to other programming languages.
  • Discuss its applications in data analysis and the types of problems it can solve.
  • See where Python programming fits into the data workflow.
  • Apply your new skills to solve a real-world problem with Python.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set with Python skills in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.

Takeaways

  • Discuss the history of Python and its use across different industries.
  • Define how Python compares to other programming languages.
  • Describe the benefits of a Python workflow when working with data.
  • Demonstrate basic understanding of Python programming fundamentals.
  • Apply Python code to solve a sample world data problem.

Prereqs & Preparation

Prerequisites Install Anaconda beforehand. Tip: Scroll to your operating system version and click on the install button for Anaconda with Python 2.7. Note: We'll be using Python version 2.7 in this workshop. If you are using a PC, please install the git for windows terminal. terminal beforehand. Additional Preparation Optional: Install a text editor like Sublime Text 3. or Atom.on your computer. Technical Considerations: For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).

About the Instructor

Ivan Hernandez Photo

Instructor,
DePaul University

Dr. Ivan Hernandez is a researcher and educator with a passion for teaching others how to use statistical and computational techniques to answer questions about complex social phenomenon. He graduated from the University of Illinois at Urbana-Champaign with a Ph.D in Social & Industrial Psychology, and a Master's degree in Applied Measurement. Ivan's research incorporates machine learning, text mining, agent-based modeling, numeric simulations, and spatial analysis to study phenomenon pertaining to organizational, cultural, regional, and cognitive outcomes, authoring numerous peer-reviewed publications and book chapters. He has over 5 years of teaching experience, instructing undergraduate courses at the University of Illinois, and managing the NASA Data Science Internship at Northwestern University. When not teaching or conducting research, he enjoys going to farmers' markets, drive-in theaters, custard shops, and enjoying all the other wonderful things the Midwest offers.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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