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Hands-On Data Analysis with Python

Sarah Guido (InVision)
Python | Tools & Techniques
Portland 251
Tutorial Please note: to attend, your registration must include Tutorials.
Average rating: ***..
(3.62, 21 ratings)

THIS TUTORIAL HAS REQUIREMENTS AND INSTRUCTIONS LISTED BELOW

Python is quickly becoming the go-to language for data analysis. However, there are so many tools out there that it can be difficult to figure out which ones are useful. In this workshop, I’ll give you an in-depth look at some of the best tools for data wrangling, machine learning, and data visualization. You’ll learn strategies for working with data, how to structure a data analysis workflow, and which tools are appropriate for handling different kinds of data. You’ll leave with a good understanding of different data analysis techniques in Python.

Using Pandas, Scikit-Learn, and matplotlib, we’ll work through a data analysis workflow from start to finish, and we’ll cover the following data analysis problems:

  • Data preprocessing and data wrangling with Pandas
  • Using Scikit-Learn for machine learning
  • Visualizing our results with matplotlib

TUTORIAL REQUIREMENTS AND INSTRUCTIONS FOR ATTENDEES

* A basic understanding of Python is necessary, but knowledge of the tools is not.
* Pandas, Scikit-Learn, and matplotlib are the tools we’ll be working with in Python. They can easily be installed with a distribution (such as Anaconda). I’ll post all of the materials to my Github account, so having a Github account would be helpful.

QUESTIONS for the speaker?: Use the “Leave a Comment or Question” section at the bottom to address them.

Photo of Sarah Guido

Sarah Guido

InVision

Sarah Guido is a senior data scientist at InVision where she studies user collaboration through data. She’s an accomplished conference speaker and O’Reilly author and enjoys making data science as accessible as possible to a broad audience. Sarah attended graduate school at the University of Michigan’s School of Information.

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Comments

Picture of Caleb Madrigal
Caleb Madrigal
04/13/2014 8:19am PDT

+1 :)