Department of Citywide Administrative Services

Course R for Data Analysis I - (CMPD-8413-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

Classroom Room 24-8

Address 1 Centre Street, 24th floor south, NY, NY 10007.

Instructor(s) Elizabeth DiLuzio

Class Description

A full-day course covering the key concepts of how to leverage the R programming language for data analysis. The course will cover the basic syntax of R as it relates to performing basic exploratory data analysis and how to create impactful charts, graphs, and other information visualizations using NYC Open Data for operational decision-making.

Objectives:

• - Introduce and practice key steps in exploratory data analysis

  - Provide hands-on experience using R to clean and summarize data

• - Cover the foundations of visualizing data
•                    
• - Cultivate an attitude of curiosity to foster a culture of data-driven inquiry

Key Takeaways: 

1. Participants will understand what R is and why it’s useful 
2. Participants will understand how R structures data and why that’s important 
3. Participants will learn how to open a dataset and shape it into a usable structure for analysis 
4. Participants will calculate summary statistics and visualizations of a dataset in R 
5. Participants will be exposed to elementary programming concepts and supplementary packages in R 
6. Participants will apply skills to conduct a simple analysis of a dataset with open data 

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