Data Science with R: Data Analysis and Visualization

at NYC Data Science Academy

Course Details
$2,080.50 10 seats left
Start Date:

Sat, Mar 04, 10:00am - Apr 01, 5:00pm Eastern Time ( 5 sessions )

NYC Data science Academy
Early bird price until Feb 11, $2190 thereafter
Purchase Options
Class Level: Beginner
Age Requirements: 15 and older
Average Class Size: 18
System Requirements:

You will need a reliable Internet connection as well as a computer or device with which you can access your virtual class. We recommend you arrive to class 5-10 minutes early to ensure you're able to set up your device and connection.

Class Delivery:

This class will be held via Zoom unless otherwise specified

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

This course is a 35-hour program designed to provide a comprehensive introduction to R for Data Analysis and Visualization. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which to understand the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.

  • Basic knowledge about computer components
  • Basic knowledge about programming
  • Certificates are awarded at the end of the program at the satisfactory completion of the course.

Unit 1: Basic Programming with R

Introduction to R
  • What is R?
  • Why R?
  • How to learn R
  • RStudio, packages, and the workspace
Basic R language elements
  • Data object types
  • Local data import/export
  • Introducing functions and control statements
In-depth study of data objects
Functional Programming

Unit 2: Basic Data Elements

Data transformation
  • Reshape
  • Split
  • Combine
Character manipulation
String manipulation
Dates and timestamps
Web data capture
API data sources
Connecting to an external database

Unit 3: Manipulating Data with “dplyr”
  • Subset, transform, and reorder datasets
  • Join datasets
  • Groupwise operations on datasets
Unit 4: Data Graphics and Data Visualization

Core ideas of data graphics and data visualization
R graphics engines
  • Base
  • Grid
  • Lattice
  • ggplot2
Big data graphics with ggplot2

Unit 5: Advanced Visualization

Customized graphics with ggplot2
  • Titles
  • Coordinate systems
  • Scales
  • Themes
  • Axis labels
  • Legends
Other plotting cases
  • Violin Plots
  • Pie charts
  • Mosaic plots
  • Hierarchical tree diagrams
  • scatter plots with multidimensional data
  • Time-series visualizations
  • Maps
  • R and interactive visualizations
Final Project
  • After 35 hours of structured lectures, students are encouraged to work on an exploratory data analysis project based on their own interests. A project presentation demo will be arranged afterwards.
Recommended Readings
  • R in a Nutshell, by Joseph Adler
  • R Graphics Cookbook:
  • Data Manipulation with R, by Phil Spector

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

School Notes: We offer a certification licensed by the NYS Board of Education.

Still have questions? Ask the community.

Refund Policy

Note: This provider has a temporary cancellation policy for COVID-19 related cancellations which is as follows: 

Students receive a full refund of their tuition fees if they cancel their enrollment any time before the first day of the course or if they don't start the course at all (no-shows). We don't charge any registration or materials fee, and there is no charge for transferring to a future session of the course. 


Original cancellation policy (non-COVID-19):

We offer full refund if you are not happy with the first class and decide to drop it.

Start Dates (1)
Start Date Time Teacher # Sessions Price
10:00am - 5:00pm Eastern Time TBD 5 $2,080.50
This course consists of multiple sessions, view schedule for sessions.

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Reviews of Classes at NYC Data Science Academy (31)

(31 Reviews)
Data Science with R: Data Analysis and Visualization
Reviewed by Sam M. on 3/3/2019
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