Data Visualization in R Workshop

In this self-paced online course, Dr. Tyson Barrett gives in-depth tutorials on generating useful and beautiful visual displays in R. With crystal clear hands-on lessons, he’ll take you through each step of generating a variety of quantitative visualizations. Use the dropdown menu below to see what’s included in this course:

    1. Session 1: Introduction to Data Visualization

    2. Handouts & References

    3. Session 2: Importance of Data Visualization

      FREE PREVIEW

    4. Session 3: Principles and Best Practices of Data Visualization

    5. Session 4: Introduction to R

    1. Session 1: Preparing Data for Visualization

    2. Session 2: Using dplyr for Data Manipulation

    3. Session 3: Handling Missing Data

    4. Session 4: Data Reshaping and Restructuring with tidyr

    5. Session 5: Data Summarizing

    6. Session 6: Combining Multiple Datasets and Joins

    1. Session 1: Introduction to ggplot2

    2. Session 2: Understanding the "Grammar of Graphics"

    3. Session 3: Basic Components

    4. Session 4: Structuring Data for Visualization

    5. Session 5: Boxplots and Friends

    6. Session 6: Scatter Plots

      FREE PREVIEW

    7. Session 7: Line Charts

    8. Session 8: Bar Charts

    9. Session 9: Histograms

    1. Session 1: Advanced ggplot2 Techniques

    2. Session 2: Using Labels and Annotations

    3. Session 3: Customizing Scales and Themes

    4. Session 4: Faceting for Multi-Panel Plots

    5. Session 5: Interactivity

    6. Session 6: Visualizing Categorical Data

    7. Session 7: Visualizing Time Series Data

    8. Session 8: Visualizing Geographical Data

    1. Session 1: Case Study of Business Analytics

    2. Session 2: Case Study of Healthcare Analytics

  • 30 lessons
  • 4.5 hours of video content

Meet Your Instructor

Dr. Tyson Barrett


Tyson Barrett is a quantitative psychologist and Manager of Research Analytics and Enablement at Highmark Health in the United States.  His quantitative work in the healthcare field spans topics such as health equity, aging, and surgery.

Pricing

Tax-exempt institutions in the United States, please start here.

Data Visualization with R is available for immediate access.

Please contact us if you need an invoice prior to purchase or have a larger group.

Payment is accepted by credit card, Paypal, WeChat, or bank transfer (euros & GPB). Contact us for WeChat invoicing. Bank transfer instructions are here.

Group licenses provide the lowest per-person cost.

Further discounts are available for researchers working in LMICs; apply here to get started.

Bank Transfer Information

Bank transfers are accepted in euros and GBP. Please contact us if your bank is outside of the EU, SEPA, or UK.

Kindly allow 3 business days for payment to post.

euros (EU & SEPA only)
 GBP (UK only)
Student/Postdoc:  €377
Professional: €471
Group: €1084

Account holder:  QuantFish LLC
BIC/SWIFT:  TRWIBEB1XXX
IBAN:  BE20 9672 6025 0356

Address:  
Avenue Louise 54, Room S52 
Brussels 
1050 
Belgium 

Required notes:  
  • Name of person enrolling (only the contact person if enrolling a group)
  • Email address
  • Requested course(s)

 Student/Postdoc:    £377
Professional:  £471
Group:  £1084

Account holder:  QuantFish LLC
Sort code: 23-14-70
Account number: 87960744
IBAN:  
GB50 TRWI 2314 7087 9607 44
Address:  

56 Shoreditch High Street, London E1 6JJ, United Kingdom

Required notes:  
  • Name of person enrolling (only the contact person if enrolling a group)
  • Email address
  • Requested course(s)


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FAQ

  • What level of statistical training is required for the course?

    This course is for learners with foundational training in graduate level statistics. Prior experience with R/data visualization is not required.

  • I won't be able to complete this course all at once. Is the timing flexible?

    Yes! The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.

  • Will you give me feedback on my analyses?

    The instructors can answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. Additional consultation is handled directly with the instructor.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Datavis in R will be available to start whenever you're ready.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch the introductory video to get started. Subsequent lessons are shown to you in sequential order, along with the PDF resources. Plan on each day (module) to take about three hours, plus practice time. At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.

  • 3. Share Your Success!

    The best part of our work here at QuantFish is seeing our trainees implement their newfound analytic skills in their own research. We LOVE hearing about published papers and successful defenses. Find us on LinkedIn or Twitter or shoot us an email so we can celebrate with you!

Let's Keep in Touch

New courses are always coming! Add your email to our list to get the latest updates.

Thank You

Satisfaction Guarantee

QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists.  Data Visualization with R  is backed by a complete money-back guarantee for 7 days following the start of the course.