Python for Data Bootcamp
29

Monday, 29 June

10 am – 5 pm EDT

GA NYC (Livestream)

Online Class
Livestream
$250 USD
Regular Ticket
$250 USD
Total

Questions? Read our FAQs

Python for Data Bootcamp | June 29

Jonathan Bechtel Photo


Technical Lead, Health Kismet

29

Monday, 29 June

10 am – 5 pm EDT

GA NYC (Livestream)

Online Class
Livestream
$250 USD
Regular Ticket
$250 USD
Total

Questions? Read our FAQs

About This Workshop

Python is quickly becoming the go-to programming language for working with large amounts of data. Both existing programmers and those new to the practice will need to understand Python’s ecosystem that allows you to easily load, query, interpret and analyze complicated and messy data for a variety of business purposes.

This workshop introduces you to the major Python libraries used for data analysis (primarily Numpy and Pandas), and gives you a practical, thorough walk through for how to use them for the most important data management tasks. It starts you off with the basics, and walks you through various API’s until you’ll be able to easily clean, manage, join, and analyze data sets with millions of rows…..all on your own laptop.

This workshop is ideal for analysts, marketers, non-python programmers, and anyone looking to expand their data toolkit by learning how to use the world’s most flexible and powerful data management ecosystem.

The well-being of our employees, students, clients, instructors, and guests is our number one priority here at General Assembly. We are monitoring the COVID-19 situation very carefully and are adjusting delivery of our programs.


Due to the current health concerns, all GA short-form events, workshops & bootcamps will temporarily be held online - including this one.


Registered students will be notified 24 hours in advance of this program with information on how to log in to the Zoom Meeting Room and other tools you’ll need for the session. Registration for this class will close 2 hours prior to the session start in order to allow all students ample opportunity to have the technology enabled.


GENERAL ASSEMBLY’S CLASSES, WORKSHOPS & EVENTS ARE FOR RECREATIONAL PURPOSES AND ARE NOT REGULATED BY THE BUREAU OF PROPRIETARY SCHOOL SUPERVISION.

Takeaways

  • Introduction to the Scipy ecosystem, and what purpose its major components serve
  • How to use the IPython computing environment
  • The basics of the Numpy and Pandas apis
  • Connecting to and loading in different types of data
  • Selecting, querying, and segmenting your data
  • How to join together multiple data sources
  • Common Pandas operations for analyzing your data
  • How to optimize performance and rapidly expand the size of the datasets you can work on The basics of visualization using Pandas and matplotlib

Preparation

  • Please have a copy of Anaconda installed on your computer, which can be downloaded here: www.anaconda.com/distribution
  • Familiarity with the core Python programming language, either with the Introduction to Python Bootcamp or similar experience.
  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
  • This course will occur completely online using Zoom and Slack.
  • Course set up information will be emailed to all students signed up around 24 hours before (and again an hour before) your course launches.

About the Instructor

Jonathan Bechtel Photo

Technical Lead,
Health Kismet

Jonathan Bechtel is the technical lead for Health Kismet, a nutraceutical sciences company that leverages the latest research in biological and computer sciences to deliver unique research and deliverable insights to make the Natural Products and Pharmaceutical industries work better. He models data in Python, does software development in Javascript, and can always be found with a good academic paper in his backpack. Just ask him!

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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