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Data Science with R: Data Analysis and Visualization

  • Beginner
  • 15 and older
  • $2,080.50
  • NYC Data science Academy
  • 35 hours over 5 sessions

Start Dates (0)

  • $2,080.50
  • NYC Data science Academy
  • 35 hours over 5 sessions
  • Early bird price
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Class Description

Description

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.

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

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
Functions
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: http://www.cookbook-r.com/Graphs/
  • 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.

Refund Policy

Any student wishing to withdraw from a program must notify CourseHorse in writing. The date of withdrawal for refund purposes is the last date of physical attendance. The failure of a student to notify us in writing of withdrawal may delay refund of tuition due pursuant to Section 5001 and 5002 of the Education Law.

Any student requesting cancellation within seven days after signing the Enrollment Agreement but before instruction begins will be refunded all money paid less 5% cancellation fee. Thereafter, in the event of cancellation or termination by the school, refunds will be prorated based on the student's last date of attendance.

Reviews of Classes at NYC Data Science Academy (31)

(4.4-star rating across 31 reviews)
  • Data Science with R: Data Analysis and Visualization

    Reviewed by Sam M. on 3/3/2019
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Review Summary by CourseHorse

Students highly praise the Data Science with R: Data Analysis and Visualization course for its comprehensive syllabus, dedicated instructor, and practical application of skills. The class is described as having a steep learning curve, but the slides and homework assignments effectively teach the material. The instructor, Derek, is described as an R expert who can answer any question and brings a graduate-level feel to the course. The course covers the basics of R syntax, data manipulation, and the use of packages like DPLYR. The only area for improvement mentioned is a desire for more depth in web scraping, although the course is primarily focused on data analysis and visualization. Direct Quotes: - "Our instructor, Derek, was an R guru and could answer any question we threw at him. I definitely plan to continue learning R and I can attribute my enthusiasm to having taken this class." - "Ultimately Derek brought us to a self-sufficiency level for continuing our R education. The course was a pleasure as Derek is clearly an R expert and aficionado weaving many practical tips and historical insights into the lectures." - "About the syllabus, you will learn Base R syntax and principal data structures identification and manipulation plus a bunch of other packages (e.g. DPLYR) that will make your life easier when treating data sets. The instructor was a Sr. Data Scientist who gave us two sides: theoretical and hands-on day-to-day professional experience views."

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