DVggplot2

Online course

Data Visualization
with ggplot2

Learn how to visualize impactful data that tells your story
clearly, beautifully and persuasively

ggplot2 is a powerful and flexible
data visualization system in R

It is used in Data Science for data analysis and presentation, scientific research, business intelligence and infographic design - from simple scatter plots to multi-layered interactive visualizations.

Professionals proficient in ggplot2 are in demand in a wide variety of fields that require data analysis and visualization. Examples of professions: Data Analyst, Research Scientist, Marketing Analyst, Data Journalist, UX Researcher.

This course is for you if you

Work with data - analyst, scientist, marketer, or data journalist - and want to create crisp, beautiful, and informative charts without Excel.

Want to learn ggplot2 from scratch - even if you've never opened R, but are ready to learn how to visualize data like a pro.

Dream of visualizing complex data - for reports, articles, dashboards or infographics to make your findings look compelling.

Course Requirements

You will need basic skills in any
programming language to successfully
complete the course.

You will learn how to

1 Create professional graphics in ggplot2 - from simple scatter plots to complex multi-layered visualizations.

2 Flexibly customize the design - work with colors, fonts, themes and annotations for a presentable look.

3 Understand and apply graphics grammar - consciously combine layers (data, aes, geom, facets) for any task.

4 Visualize real data - analyze datasets from science, business, and social media in a practical way.

5 Optimize ggplot2 code - avoid typical errors and speed up work with big data.

6 Prepare graphs for publications - export to PDF/SVG, adapt for articles, reports and dashboards.

You will create projects using ggplot2

interactive labor market dashboard

Scientific publication graphics

Bank financial report

UX-analytics for application

Course Experts

Kira Zane

Head of Analytics at FinTech startup

Specialist in financial analytics and risk modeling

Developed a transaction visualization system for the central bank

Teaches at MBA programs

Mark Taylor

Lead Data Scientist at TechCorp

Develops dashboards for Fortune 500 companies

Expert in ggplot2 and shiny (R)

5 years of corporate training

Sophia Lin

Data Designer at DataViz Media

Malofiej and Kantar Information is Beautiful award winner

Turns complex data into easy-to-understand infographics

Worked with The Guardian and Bloomberg

Сourse program

Module 1: Welcome to the course

Course structure and methodology

Module 2: Accelerated R course

Introduction
What is R?
Installing R and RStudio
Update: RStudio becomes Posit
First steps in R
Let me interrupt this for a moment...
Basics of R: Atomic types and Vectors
Lists
Matrices
Arrays
Dataframes
Summary of the Data Types
Factors
Utilities in R: Reorder a dataframe by factor levels
Read a dataset from a file
Transforming data with dplyr
Handling missing values
Generation of sequences
Handling dates
Merging two dataframes

Module 3: The Grammar of Graphics

Introduction
Why ggplot2?
How to draw a simple plot?
The components of the Grammar of Graphics

Module 4: Geometries and line plots

Introduction
Geometries
Saving your plot
The line plot family
Drawing line plots with multiple lines
Line plot Exercise
Solution

Module 5: Datasets, mappings and scatter plots

Introduction
Datasets and mappings
Overriding aesthetics
Setting vs. mappings
Data formats and the melt function
Scatter plots - Part 1
Part 2: Colors and labels
Scatter plots: Exercise - Part 1
Part 2: Exercise Solution

Module 6: Statistical transformations and Plotting Distributions

Introduction
Statistical transformations (stats)
Interesting stats
Computed aesthetics
What are distributions and how to plot them?
Histograms and frequency polygons
Density plots
Histogram and stats: Exercise - Part 1
Part 2: Exercise Solution
Boxplots
Violin plots
Boxplots and Violin plots: Exercises - Part 1
Part 2: Exercise Solution

Module 7: Position Adjustment, Scales, Bar plots

Introduction
Position Adjustment: Identity, jitter & nudge
Position Adjustment: stack, fill & dodge
Scales: Definition & Usage
Classification
Position scales
Date scales
Color scales
Manual & Identity scales
Shortcuts to scales: labs & lims
Bar plots
How to make bar plots look good?
Bar plots Exercise
Bar plots Exercise Solution

Module 8: Coordinate Systems, the Theme System and Maps

Introduction
Coordinate Systems: Cartesian & Flip
Fixed & Quickmap
Polar
The Theme System
Modifying Individual Components of the Theme System
Bonus Track: ggplot's theme system cheatsheet
Creating your own Custom Theme
Maps: Background maps
Choropleth maps
Annotated & Bubble maps
Plotting GIS Data

Module 9: Facets and Custom Plots

Introduction
Facets
facet_grid vs facet_wrap
Faceting example: follow-along exercise
Maps & facets Exercise
Maps & facets Exercise Solution
Custom plots: the Lollipop plot
The Dumbbell plot
The "Fire" plot

Module 10: What next?

Congratulations! What next?

Select the correct tariff

Introductory

$11

Training program - 2 sections
Lecture materials
Practical tasks
Student chat
Assignment check
Access to the course - 1 week
Without certificate

Start now

Basic

$64

Training program - 8 sections
Lecture materials
Practical assignments
Chat for students and supervisors
Assignment check
Feedback from tutors
Access to the course - 3 months
Without certificate

Start now

Standard

$75

Training program - 10 sections
Lecture materials
Practical assignments
Chat for students and supervisors
Checking of assignments
Feedback with instructors
Access to the course - 6 months
Certificate

Start now

Standard Plus

$89

Individual support
Training program - 10 sections
Lecture materials
Practical assignments
Error analysis
Recommendations and support
Chat for students and tutors
Access to the course - 12 months
Certificate

Start now

Corporate

$820

Groups of 5-10 people
Training program - 10 sections
Lecture materials
Practical assignments
Chat for students and supervisors
Checking of assignments
Feedback with instructors
Access to the course - 12 months
Certificate

Start now

Learn at a comfortable pace

All course materials are available 24/7 in your personal account in the format of video lessons, practical assignments and ready code templates, which makes it easy to combine learning with work, study or personal commitments, returning to complex topics when convenient.

Certificate

Upon completion of the course you will receive an official certificate confirming your title of data visualization specialist with ggplot2, which will become a significant competitive advantage in employment.

Testimonials from our students

Anna

Data Analyst (Fintech)

The course changed my approach to visualization! Used to spend hours on Excel, now I do it in ggplot2 in 15 minutes. My work was noticed by my team leader - I got a promotion 2 months after the course. I'm especially excited about projects with real data - I added them to my portfolio and got 3 interview invitations!

Olga

Marketer (E-commerce)

I was afraid that R is only for programmers, but lessons from scratch made everything clear. I learned how to create dashboards for reports - clients are delighted with the infographics. My report was called “exemplary” in a meeting!

Dmitry

Student (Economics)

I did my diploma with visualizations from the course - my instructor said they were the best graphics for the last 3 years in the department. The certificate helped me to get an internship in a research center. By the way, now I use R even for personal projects - for example, I analyzed my spending for a year!

Ekaterina

UX-designer (IT-startup)

I wanted to learn how to “speak” the same language with data-scientists. The course gave not only ggplot2 skills, but also an understanding of how to visualize complex data for users. Now I manage the redesign of our product dashboards - the development team saves 20% of time thanks to my layouts.

Frequently Asked Questions

Can I really learn professional data visualization if I have never worked with R and ggplot2 before?

Absolutely yes! The course is specially designed to teach you step-by-step: first you will learn the basics of R in an accelerated format, then you will learn the principles of graphics grammar through simple examples, and by the middle of the course you will be creating complex visualizations - our “from simple to professional” method has been tested on hundreds of students, and your portfolio after the course will prove that ggplot2 is for everyone!

What knowledge do I need to start the course?

You only need a basic understanding of programming principles (variables, loops, conditions) to start the course. Everything else - we will learn from scratch in the first modules.

Will I be able to combine the online course with work? How many hours do I need to complete the course?

Yes, you will be able to take the online course and work because you can decide when it is convenient for you to study. On average, our students need between 5 and 10 hours per week to study.

What kind of computer is suitable for writing code?

An ordinary laptop or computer is suitable for learning. The main thing is a stable Internet connection to watch lessons and complete assignments.

What kind of projects will I be able to do after completing the course on data visualization with ggplot2?

After completing the course you will be able to work professionally with data visualization in various fields: create analytical dashboards for business, prepare publication graphics for scientific research, develop infographics for media and marketing reports, visualize A/B test results, and build complex interactive visualizations for presentations and web applications.

What if the course doesn't work for me? Is there a refund guarantee?

Yes, we are fully confident in the quality of the training and offer a refund guarantee. If within 5 days you realize that the course does not meet your expectations - just write to support and we will refund your payment without any questions. We believe in honesty and comfort of our students.