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Introduction to Data Analysis and Visualization: Home

 

This series of workshops is designed to help undergraduates learn python basics for data analysis and visualization. Developed from the Software Carpentry Curriculum, undergraduate Data Peers will lead workshops to introduce basic data manipulation and visualization with Python. Each workshop is designed to act as a starting point for learning concepts and will familiarize attendees with additional resources for getting help. This series also serves as a data analysis starting point for undergraduates in the Data Science Discovery Program. All workshops will begin on Berkeley Time at 10 minutes past the hour. Unless you are already familiar with Python, these workshops are best taken as a successive series

Introduction to Python, NumPy and pandas and Creating Visualizations with Python are adapted from the Software Carpentries Curriculum under the Creative Commons Attribution License (CC BY 4.0).


Introduction to Data Analysis with Python

Tuesday, January 25th: 7:00-8:15 PM

Virtual over Zoom (details will be emailed following registration)

Instructors: Richa Bhattacharya and Mein Lee 

Join your undergraduate Data Peer Consultants for an introduction to Python. This workshop will cover python fundamentals, creating functions, and more. The workshop is the first in the Spring 2022 series “Introduction to Data Analysis and Visualization.” Instructors will lead hands-on exercises using Jupyter Notebooks. This workshop is best done with a laptop or desktop instead of a phone or tablet. Zoom and setup information will be emailed following registration.

REGISTER

 


Data Analysis using NumPy

Thursday, January 27th: 7:00-8:15 PM

Virtual over Zoom (details will be emailed following registration)

Instructors: Mein Lee and Richa Bhattacharya

 

This workshop will introduce the NumPy library for more advanced data manipulation by building arrays, matrices, and other functions. This is the second workshop in the Spring 2022 series “Introduction to Data Analysis and Visualization” and builds on content taught in the "Introduction to Data Analysis with Python" workshop. Data Peer Consultants will lead attendees through hands-on exercises using Jupyter notebooks. This workshop is best done with a laptop or desktop instead of a phone or tablet. Zoom and setup information will be emailed following registration.

 

REGISTER

Data Manipulation using Pandas

Tuesday, February 1st: 7:00-8:15 PM

Virtual over Zoom (details will be emailed following registration)

Instructors: Jillian Criscuolo and Jun Park

This workshop will introduce the pandas library for more advanced data manipulation by building arrays, matrices, and other functions. This is the third workshop in the Spring 2022 series “Introduction to Data Analysis and Visualization” and builds on content taught in the "Introduction to Data Analysis with Python" workshop. Data Peer Consultants will lead attendees through hands-on exercises using Jupyter notebooks. This workshop is best done with a laptop or desktop instead of a phone or tablet. Zoom and setup information will be emailed following registration.

 

REGISTER

Thursday, February 3rd: 7:00-8:15PM

Virtual over Zoom (details will be emailed following registration) 

Instructors: Jun Park and Jillian Criscuolo

 

This workshop will introduce how to create basic data visualizations using Python and requires some knowledge of Python. This is the fourth workshop in the Spring 2022 series “Introduction to Data Analysis and Visualization” and builds on content taught in the first two workshops. Data Peer Consultants will lead attendees through hands-on exercises using Jupyter notebooks. This workshop is best done with a laptop or desktop instead of a phone or tablet. Zoom and setup information will be emailed following registration.

 

REGISTER