Data analytics has become a crucial skill across several industries, whether you are entry-level, executive, or somewhere in between. Understanding data analytics can enable you and your organization to make better decisions with improved outcomes.

Dive into data analytics with DigitalC in the fall 2017 Data Analytics Workshop. The workshop will be held from November 14th to 16th and will include interactive lessons on analyzing data, accessing local data resources, and data visualization that will provide beginners with a toolkit for data analysis. The lessons will be taught by Kauser Razvi, Candace Freed, Joshua Terchek, and Adam Hecktman.

All classes will be held in Fenn Hall on CSU campus. Each day runs from 9:00 to 2:30/3:00 with an hour lunch break.

Please note that classes will take place in the computer lab and you will be able to use a workstation, however, if you do have your own computer available then please bring it.

Please register and contact Kauser Razvi (kauser.razvi@digitalc.org) with any questions.

Day 1, November 14:

Intro to Data Analysis 101 (taught by Kauser Razvi and Candace Freed) 9:00 AM to 12:00 PM

• Learn what exactly data analysis is, who can benefit from learning data analysis, examples of real-world contexts and applications, tools and tips for analyzing and communicating data, and how to design and answer data-driven questions.

Local Data Resources TBD 1:00 PM to 3:00 PM

Day 2, November 15:

Excel for Data Analysis with Civic/Census Data (taught by Adam Hecktman, Microsoft) 9:00 AM to 2:30 PM

• Excel is a tool that most people are familiar with, and many people use every day. Excel can be leveraged to unlock the value of open data of all kinds, and it is particularly well-suited to query and visualize open government data from multiple sources. Learn how to access, transform, cleanse, query, and visualize data using tools that are easy to learn and easy to use.

Day 3, November 16:

Data Visualization with Tableau (taught by Joshua Terchek) 9:00 AM to 2:30 PM

• This module introduces participants to the basics of Tableau. Specific topics include the different versions of Tableau, connecting to data, types of data, basic visualizations, worksheets, and tips and tricks. By the end of this course, participants will be able to make basic interactive visualizations.