Python Programming 101
12

Tuesday, 12 December

6:30 9:30 pm EST

GA D.C., 1776

1133 15th Street NW, 8th Floor
Washington, D.C. 20005
$75 USD
Regular Ticket
$75 USD
Total

Questions? Read our FAQs

Python Programming 101

Adam Raveret Photo


Data Analyst, Deloitte

12

Tuesday, 12 December

6:30 9:30 pm EST

GA D.C., 1776

1133 15th Street NW, 8th Floor
Washington, D.C. 20005
$75 USD
Regular Ticket
$75 USD
Total

Questions? Read our FAQs

About This Class

Unlock data-driven insights with code. 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 and discuss Python's applications in data analysis and the types of problems it can solve.

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

This workshop is designed for anyone interested in learning Python. No prior experience or knowledge is required.

What to bring to class: All students must bring their own laptop. Please also install Anaconda prior to class. You may also want to install a text editor like Sublime Text 3 or Atom.

Note on installing Anaconda: Scroll to your operating system version and click on the install button for Anaconda with Python 3.6. We'll be using Python version 3.6 in this workshop. If you are using a PC, please install the git for Windows terminal beforehand.

About the Instructor

Adam Raveret Photo

Data Analyst,
Deloitte

Adam Raveret is a Data Analyst in the Advanced Analytics Enablement capability at Deloitte Consulting. He is a trained Economist from Cornell University and a self-taught programmer. His previous work experience includes teaching in the South Bronx with Teach For America and driving growth here at General Assembly. Adam loves data science because it allows him to constantly solve problems and root his solutions in statistics.

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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