Data Visualization in R

Create stunning graphics for your Data Science projects

R, ggplot2, Data Visualization
Pre-Requisite:
- Programming for Data Science
Difficulty: Intermediate
Associated Specializations:
- Data Visualization
Duration: 4 Days

Ad-Hoc Course Registration:

ON-SITE CLASS

Date: 7 – 10 December 2020
Time: 18.30 – 21.30
Venue: Menara Kadin Lantai 4, Jl. H. Rasuna Said, Jakarta Selatan
Investment: Rp. 5.200.000

ONLINE CLASS

Date: 7 – 10 December 2020
Time: 18.30 – 21.30
Investment: Rp. 2.600.000

Course details :

A fun, hands-on, and project-based workshop that help students gain full proficiency in data visualization systems and tools. Create compelling narratives by combining charting elements with custom aesthetics under the guidance of our instructors.

The 4-day course follows our learn-by-building approach, in that students are tasked to reproduce a series of plots applying what they’ve learned. While it covers the three main plotting systems in R, its particular focus is on ggplot2 and the additional libraries centered around it that brings interactivity and enhanced aesthetic options to the art of creating rich, powerful visualizations.

Download (PNG)

Schedule

Base Plotting
Day 1
Working with ggplot2
Day 2
Enhancing ggplot2
Day 3
Other Visualization Toolset
Day 3
Learn-by-Building
Day 4

Course Producer

Samuel Chan

An RStudio-certified instructor and machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide) for three years running, and boasts certifications from RStudio, Microsoft, MongoDB, Neo4J Database, Stanford University, John Hopkins University, among others.

Prior to Algoritma, he has 8 years of working experience, including a stint as in-house consultant to several public-trading companies from his time staying in China, Japan and Singapore. He is today an active trainer and consultant for various companies in the financial industry. He has guest lectured in various campuses: Binus, NUS (National University of Singapore)’s The Logistics Institute, University of Indonesia, Universitas Gadjah Mada (UGM), Binus, Institute of Technology Bandung (ITB), Telkom University etc. Courses he authored are offered also in Singapore through Ngee Ann Polytechnic.

Samuel is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies, and among the first to be certified in RStudio’s program. Technical committee member and competition judge on Finhacks 2018, the largest Machine Learning competition of the year organized by PT. Bank Central Asia (BCA) and DailySocial.

4-Day Workshop Modules

Syllabus: Data Visualization in R

Module 1: Plotting Essentials

Base Plotting I

Plots and Lines
Built-in Plot Types
Legends and Annotations
Other Built-in Plotting Functionalities

Base Plotting II

Histograms and Curves
Cleveland’s Dot Plot
Axis, Titles, Subtitles and Panel Styles
The Notorious Pie Chart

Working with ggplot2

Grammar of Graphics System
Mapping Aesthetics
Working with Geometries
Background Image

Enhancing ggplot2

Axis, Titles, and Scales
Adding Themes to Your Plots
Custom Aesthetics and Styles
Working with Legends

Module 2: Richer Visualization
Techniques

Enhancing ggplot2 II

Flipping Coordinates and Axis Rotation
Multi-dimensional Faceting
Text Layers and Label Layers
Expected Values

Enhancing ggplot2 III

Enriching: Scatterplots and Bubble Plots
Enriching: Jitterplots
Enriching: Boxplots and Violin Plots
Layer Transparency

Enhancing ggplot2 IV

Enriching: Column Plots
Enriching: Texts and Labels
Enriching: Horizontal and Vertical Lines
Fills and Colors

Enhancing ggplot2 IV

Discrete, Continuous, and Gradient Colors
Facet with Wraps and Grids
Visualizing Spatial Data
Working with Leaflet and Maps

Academy Modules

Pproject: Mining Trending Videos on YouTube

Hands-on Data Visualization
Identifying Temporal Patterns in Trending Videos
Combining Aesthetics and Geometries

Learning-by-Building Module (2 Points)

Creating a Publication-Grade Plot

Applying what you’ve learned, create an economics- or social-related plot that is polished with the appropriate annotations, aesthetics, and some simple commentary. You may use the same “YouTube Trending Videos” dataset or any other dataset for this practice.

Creating an Interactive Map

Applying what you’ve learned, create a web page with an interactive map embedded on it. Use a custom icon for the map markers to represent business locations, and show details about each location pin (“markers”) upon user’s interaction with it.

Ad-Hoc Course Registration:

ON-SITE CLASS

Date: 7 – 10 December 2020
Time: 18.30 – 21.30
Venue: Menara Kadin Lantai 4, Jl. H. Rasuna Said, Jakarta Selatan
Investment: Rp. 5.200.000

ONLINE CLASS

Date: 7 – 10 December 2020
Time: 18.30 – 21.30
Investment: Rp. 2.600.000

Workshop Receivables:

Workshop Lecturer’s Notes
Including 2x Course Books (PDF), HTML files, course transcripts (if any).
Highly-accelerated Learning
Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 4-day course.
Certification of Completion
Show current and prospective employers that you’ve completed the course with a signed certificate of completion.
Quality Learning Environment
We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.
Supplement Materials
Receive supplement datasets to practice on, reference notes, working files (R Notebook or Jupyter Notebook), and other materials that will help you master the topics.

This workshop is recommended for:

The Programming for Data Science workshop is designed for casual learners, working professionals and non-programmers that are taking their first steps into data science and machine learning.

Students are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Consider taking our Intermediate-level workshops instead for more advanced-level materials in statistical programming and machine learning.

Past Workshops in this Series:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of the Data Visualization Specialization Track

This workshop is part of the Data Visualization specialization track offered by Algoritma Data Science Academy. Participants are rewarded with a certificate of completion upon passing criteria, and are encouraged to advance further in the respective data science specialization.

ENROLL NOW!

Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

Data Science School

For Corporates
For Individuals
Alumni
Testimonials

Company

About us
Contact us
Join Us
Blog
Press

Data Visualization in R

Ad-Hoc Course Registration:

Course details :

Schedule

Course Producer

Samuel Chan

4-Day Workshop Modules

Module 1: Plotting Essentials

Base Plotting I

Base Plotting II

Working with ggplot2

Enhancing ggplot2

Module 2: Richer Visualization
Techniques

Enhancing ggplot2 II

Enhancing ggplot2 III

Enhancing ggplot2 IV

Enhancing ggplot2 IV

Academy Modules

Pproject: Mining Trending Videos on YouTube

Learning-by-Building Module (2 Points)

Ad-Hoc Course Registration:

Workshop Receivables:

Workshop Lecturer’s Notes

Highly-accelerated Learning

Certification of Completion

Quality Learning Environment

Supplement Materials

This workshop is recommended for:

Past Workshops in this Series:

Hands-on Coding

Working through real-life examples

Demo and Presentation

Learn-by-building philosophy

Part of the Data Visualization Specialization Track

Get In Touch

Data Science School

Company

Data Visualization in R

Ad-Hoc Course Registration:

Course details :

Schedule

Course Producer

Samuel Chan

4-Day Workshop Modules

Module 1: Plotting Essentials

Base Plotting I

Base Plotting II

Working with ggplot2

Enhancing ggplot2

Module 2: Richer Visualization Techniques

Enhancing ggplot2 II

Enhancing ggplot2 III

Enhancing ggplot2 IV

Enhancing ggplot2 IV

Academy Modules

Pproject: Mining Trending Videos on YouTube

Learning-by-Building Module (2 Points)

Ad-Hoc Course Registration:

Workshop Receivables:

This workshop is recommended for:

Past Workshops in this Series:

Hands-on Coding

Working through real-life examples

Demo and Presentation

Learn-by-building philosophy

Part of the Data Visualization Specialization Track

Get In Touch

Data Science School

Company

Module 2: Richer Visualization
Techniques