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All coursesData Science courses

Automated Interactive Reporting Using R

Monash University

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2 days

In a nutshell

This workshop is designed to help data analysts, healthcare professionals, researchers, and students master automated and interactive reporting using the powerful R programming language.

What you'll need to get in

This workshop is designed to cater to a broad audience, from beginners to experienced professionals, who are interested in leveraging the power of R for automated and interactive reporting.

Subject breakdown

The flexible structure of the workshop allows participants to choose the day(s) that best fit their experience level and learning objectives. Day 1 focuses on building a strong foundation in R programming, data wrangling, and visualization techniques. Day 2 delves into more advanced topics, including automating reports using R Markdown and creating interactive applications with Shiny.

Why this provider?

Monash University is a leading research-intensive university and a global top 100 university. The School of Public Health and Preventive Medicine at Monash is renowned for its expertise in data analysis, visualization, and reporting, making it an ideal provider for this specialized workshop.

Where will this course take you?

Participants will gain practical programming, visualization, and reporting skills using R and Shiny, which can be applied in various professional settings, such as data analysis, healthcare decision-making, research, and clinical registry management.

Overview

Provider

Monash University

Study mode

Online

Location

--

Qualification

Short course

Course fee

Full course (2 days): $1,100 incl. GST, Single day (Day 1 or Day 2): $600 incl. GST

Start date

Dates to be announced soon

Find out if this course is right for you

Fill out the form for a free course brochure and a study consultant will be in touch directly.

You will be redirected to the training provider to enquire directly. Workinitiatives is not the course or training provider. We aggregate and list courses only.

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