Department of Citywide Administrative Services

Course GIS for Data Analysis I - (CMPD-8757-F24)

Portfolio Management & Supervision

Cost $ 250.00 Per Participant

Prerequisite(s) None

Credits CEU:0.6, CPE:8, PDC:6

Modality Instructor Led Classroom Training

Instructor(s) Sarah Kontos

Class Description

A one day class teaching the basics needed to leverage a geographic information system (GIS) to clean, process, and visualize data. The class will introduce key concepts and skills necessary to use a GIS for data analysis, reinforcing the problem ideation and process mapping skills taught in “Developing the Data-Driven Mindset” and “Data Analytics for Managers”. Working collaboratively in small groups, participants will develop an analytical question they explore throughout the class, presenting their data story at the end of class for constructive feedback.

 Objectives:

• Introduce key concepts necessary for working with geographic information systems

  (GIS)

  • Demonstrate advanced techniques with GIS for data analysis

  • Reinforce and practice best practices in exploratory data analysis

  • Reinforce brainstorming, problem ideation, and process mapping skills introduced in previous classes

  • Practice presenting true and compelling data stories to peers

  • Cultivate an attitude of curiosity to foster a culture of data-driven inquiry

   Key Takeaways:

• Participants will be familiar with the key concepts of a geographic information system

(GIS)

• Participants will be experienced in the key steps of exploratory data analysis using GIS

• Participants will be familiar with the techniques of advanced data analysis with GIS

• Participants will be practiced in using the techniques of brainstorming, problem

ideation, and process mapping to scope and execute an analytical question

• Participants will be practiced presenting analytical findings and describing the key steps in their analysis to their peers

• Participants will have an increased curiosity about how data can be leveraged for operational awareness and program success

Target Audience: Managers, Supervisors, and Team Leaders involved in data analysis