• Skip to primary navigation
  • Skip to main content

IAC: Information Architecture conference

IAC: Information Architecture conference

  • IAC23 New Orleans
    • Tickets & Registration Info
    • Conference Theme
    • IAC23 for Everyone
    • Venue – InterContinental
    • Experience NOLA
    • COVID-19 Policy
  • Program
    • Schedule
    • Speakers
    • Workshops
    • Poster Night
    • Career Center
    • Activities for First-Timers
    • Social Activities
  • Sponsor IAC23
  • About
    • Code of Conduct
    • Vision & Values
    • Diversity, Equity, Inclusion and Belonging
    • Scholarships
    • Past conferences
    • IAC Advisory Board
    • Privacy Policy
  • Contact
    • IAC23 Volunteers
Home / Sessions / Low-Code Data Analysis with Jupyter Notebooks

Low-Code Data Analysis with Jupyter Notebooks

Cost

$149 USD

Time(s)

May 14, 2020
11:00 AM to 3:00 PM CT

Description

In this workshop, we will introduce our Data Analysis Cookbooks, a set of open-source Jupyter Notebooks that can be used for qualitative and quantitative data analysis without an extensive knowledge of programming. Cookbooks provide low-code, templated building blocks for assessing and addressing data quality issues, performing simple statistical analyses, identifying correlations, and visualizing data.

Our focus for the workshop will not be to make everyone a data scientist in a day (obviously) but to empower participants to do more with data in less time, whether from qualitative user interviews, log files, or surveys. Participants will get introduced to Python, Pandas, MathPlotLib, and Jupyter Notebooks through a series of hands-on exercises that emphasize adaption of Cookbooks and recipes instead of custom code creation.

Requirements:
Laptop
Anaconda (free download), Python Version 3.7

Outline
* Introduction to Data Analysis, Machine Learning, and Data Science
* High-level overview and framework to situate the workshop activities
* ‘Just Enough to Get By’ Introduction to Python, Pandas, and Jupyter Notebooks
* Just enough because the cookbooks will contain much of the needed code snippets and how to use them, so participants only need a few basics to get started
* Data Assessment, Cleansing, and Preparation
* Best practices for assessing and cleansing data
* Know your data
* Metadata types
* Data quality metrics
* Manual data assessment
* Hone your data set
* Demo and hands-on exercises using Python, Pandas and Jupyter Notebooks
* Load data
* Combine data sets
* View data table and columns
* Manage missing data and empty values
* Validate data values
* Data Analysis
* More demos and hands-on
* Python techniques for slicing strings
* Isolating and counting values
* Simple statistical analysis using Pandas and NumPy to calculate:
* Mean
* Median
* Variance
* Ranges
* Creating correlations

Each of the hands-on analysis sections will include simple data visualizations using MathPlotLib and guided discussion on interpreting results

About the speakers

Kellie Carter

Kellie Carter works as a product research lead at Salesforce. Her primary focus includes platform data, integration, and privacy products. You can often find her geeking out on the technical nuances of data federation and customer 360 applications or giving talks on data quality and governance at Dreamforce. One area she’s most passionate about is enabling people on data and helping more people become citizen data scientists.

Sponsor IAC

We’re looking for organizations who share our commitment to building and sustaining programs that drive a more inclusive industry. Learn more on the Sponsor IAC23 page or contact us directly at info@theiaconference.com for more information.

Thanks to this year’s sponsors!

Logo for sponsor Optimal Workshop
Platinum sponsor
Optimal Workshop
Logo for sponsor Factor Firm
Gold sponsor
Factor Firm
Logo for sponsor Last Call Media
Silver sponsor
Last Call Media
Logo for sponsor Design for Context
Scholarship sponsor
Design for Context

Logo for sponsor A Book Apart
In-Kind sponsor
A Book Apart
Logo for sponsor Balsamiq
In-Kind sponsor
Balsamiq
Logo for sponsor MURAL
In-Kind sponsor
MURAL
Logo for sponsor OOUX Masterclass
In-Kind sponsor
OOUX Masterclass
Logo for sponsor Rosenfeld Media
In-Kind sponsor
Rosenfeld Media

Logo for sponsor UX Camp DC
Community sponsor
UX Camp DC
Logo for sponsor World IA Day
Community sponsor
World IA Day

The information architecture conference ©2022

Privacy Policy ⋅ Code of Conduct