R Academy

R Academy Batch-4: Fundamental Tidy Data Science in R

R Academy is an R language training/Bootcamp program held by the Digital Business Ecosystem Research Center, Telkom University. R is one of the popular programming languages ​​used for data analytics. Based on a publication released by IEEE Spectrum ranks languages ​​in 2017, R belongs to the 10 most popular programming languages. R is in the 6th position above the Javascript and PHP languages ​​which are in the 7th and 8th positions respectively. Many companies require R as a programming language that must be mastered to apply as a Data Scientist. By Joining R-Academy, participants are expected to have a ground understanding of tidy data science workflow, skills to address data science problems using R in an efficient manner and be able to deliver the solution in preferable medium to audience.

About Tidy Philosophy:

‘Tidy’ is a popular principle and philosophy in R in which you can easily perform data science tasks in a seamless way. Using tidy principle, you (a problem solver) can immediately transfer your thoughts into a computer (a machine) to address particular problems without worrying too much about codes and performance. The codes are easy to write to understand, by both human and computer. Hence in tidy data science, you can focus on solving a problem than (re-)inventing the wheel.

Program Syllabus

• Overview of key activities in the data science world
• Understanding data structures, object creation, and operation in R
• Concept of functions, arguments, and packages
• Concept of iteration and implementation of functional iteration
• How to find and install packages from various sources
• Empowering R with RStudio and version control system
• How to prepare a reproducible data science project
• Seamless workflow using Project and GitHub
• Introduction to Tidyverse for tackling data science problems
• Efficient reading of single and multiple delimited files
• Importing excel file(s) and troubleshooting its issues
• Taming and tidying data for further processing
• Joining multiple tables into one based on keys
• Concise data cleaning and manipulation
• The grammar of graphic for data visualization
• Machine learning principle and workflow
• A gentle introduction to Tidymodels and Tidytext
• Case study supervised learning: predicting numbers and classes
• Case study unsupervised learning: topic modeling for texts
• Introduction to Shiny framework for developing applications in R
• Building a web application for interactive data visualization
• Deploying machine learning models into a web application

Program Fees

• Public : IDR. 2.500.000
• Undergraduate student : IDR. 1.250.000 (Early bird: IDR. 1.000.000)*
• Post-graduate student : IDR. 1.750.000 (Early bird: IDR. 1.500.000)*

*Payment before 10th October 2019
**Fees include training modules, snacks, lunch, and certificate.

Registration Procedure

• Fill in the Registration Form Here
• Wait for confirmation about the availability of the slot via email that has been registered.
• Pay the programs fee via BNI-8321066201900008 A.N. Telkom University – Pelatihan R.
• Confirm the payment by sending proof of transfer to dbe@telkomuniversity.ac.id.

Program Alumni

Institution that have joined

Previous R Academy

• R Academy Batch 1: Introduction R for Data Science
• R Academy Batch 2: Ramadhan Edition
• R Academy Batch 3: Fundamental Tidy Data Science with R
• R Academy Batch 4: Fundamental Tidy Data Science with R (2)
• R Academy Batch 5: Coming Soon

Contact Information

For further information about this program, please contact:

• Phone: +6281222400410
• E-mail: dbe@telkomuniversity.ac.id
• Address: Digital Business Ecosystem Research Center, School of Economic and Business, Telkom University. Jl. Telekomunikasi no. 1, Buah Batu, Bandung 40257.