Learn what data science is and how it is used by organizations large and small

Learn how to use R to transform, format, and clean gigabytes of data in seconds

Create expressive visualizations with R combining many variables in detailed charts

Prerequisites | None |

Instruction | 2 hours 40 minutes |

Practice | 20+ hours |

### Syllabus: Introduction to R and Visualization

This course teaches students a new skill set in under 3 hours of instructional video. It’s designed for individuals without a math or programming background and walks them step-by-step through basic data analysis techniques and visualization skills.

###### By the end of this course, students will be able to:

**Think about data and manipulate it****Code and format data in R****Create dynamic and appealing visualizations with R**

###### Assessment:

**Concept reviews:**these are comprised of short five question quizzes that cover the most important concepts and ideas in each lesson. They encourage holistic understanding and are multi-faceted ques=on types (i.e. drag and drop, fill-in-the-blanks, matching, etc).**Exercises:**these are additional videos that cover the coding functions in the instructional video in more depth. They are project-based and include coding templates for students to strengthen their skills outside of the course.

###### Materials provided:

- Accompanying PDFs to use as reference materials
- R code templates from the instructional videos and exercises
- Data sets used in the instructional videos and exercises

### Course Outline

**1. Getting started with R (6 min)**

Installing R and RStudio

Introduction to RStudio

**2. Overview of data science and R (31 min)**

What is data science?

A data scientist’s approach

Introduction to R

Getting started in R

**3. Working with data in R (37 min)**

Understanding data types

Manipulating data

Subsetting data

Summarizing data

**4. Basic visualizations (38 min)**

Basic plotting in R

Basic plotting in ggplot2

Building a graph

Customizing graphs

Creating a heatmap

**5. Advanced visualizations (27 min)**

Advanced plotting in ggplot2

Advanced plotting, part 2

3D plotting

**6. Visualizing data with the Google API (21 min)**

Mapping DC crime

Creating reusable functions

Tips and additional resources

**Total instruction time: 2 hrs, 40 min**

### Dr. Harlan Harris

Harlan Harris is the Director of Data Science at the Education Advisory Board, and the co-founder of the Data Science DC Meetup and Data Community DC, Inc. Dr. Harris has many years in the data science industry and co-authored “Analyzing the Analyzers” through O’Reilly Media.

# Course Forum

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