This 2-day online workshop is a beginner-friendly introduction to automating business reporting with R. By learning how to automate various business reports, you will have more time to focus on what matters the most.
Throughout the online course, we will provide participants with rich interactive experience. One Instructor and two Teaching Assistants will help participants to troubleshoot or help with any difficulties encountered by participants.
NOTE: The workshop will be delivered in Bahasa Indonesia
Upon completion of this workshop, you will be able to:
Working with data in a statistical environment, including the cleansing, transformation and exploratory process.
Convert simple statistical models into textual reports suitable for publication.
Optimizing repetitive and long-term reports using a parameterized scheme in Rmarkdown.
Using and developing automated reporting script for business needs.
Introduction to Rmarkdown
Write R command in the markdown file
Setting global option that apply to every command in Rmarkdown
YAML options (title, subtitle, author, table of content, etc)
Generate report from rmarkdown file
Interactive PowerPoint presentation
Using parameter in code chunks
Using parameter inline code
BASIC DATA ANALYSIS IN R
Data science workflow
Basic programming in R
Object and environment
Data structures in R
Data type in R
How to overcome messy excel sheets in R
Automated reporting of object in R with easystats
TEMPLATE AND AUTOMATED REPORTING
Create awesome table with kable and kableExtra
Reproducible function (R script)
[Demo Only] Generating downloadables report using shiny
Ahmad Husain Abdullah majored in statistics from Islamic University of Indonesia and passionate about teaching. Husain is one of 5 holders of RStudio Trainer Certification in Indonesia.
He was involved in a lot of Data Science Training, such as BCA, KAI, PT Indo Tambangraya Megah, Indosat, OCBC NISP, and Tokopedia, to name a few. He enjoys the time making data more meaningful and loves to help companies make data-driven decisions.
Workshop in this series is particularly suited for people looking to pick up programming as a supplementary skill to their day to day work. Workshops in the Automate series are beginner-friendly and focus on productivity enhancements to the modern-day office executive.
Upon completion of any course in this series, participants would have the required skills to:
Speed up day to day work with programming.
Automate mundane tasks in Excel, Word, PowerPoint.
A report production pipeline that is tidy, programmatic, and integrates directly with the tool you already use and love.
Best-of-breed tools that tie your data collection, analysis, and presentation together.
Frequently Asked Questions
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join the classroom. You can only enter the class at the scheduled time & date, 8 & 9 April 2020.
What platform will be utilized for this online-interactive learning workshop?
We are going to use Zoom.us.
How will the participants receive the learning materials?
We will send the workshop materials via email before 8 April 2020.
Would I receive a certificate after participating in the Workshop?
You will receive a Letter of Participation via email.
What are the learning support would I get during the workshop?
This workshop is an online-interactive learning workshop led by one Instructor and two Teaching Assistants. If you encounter any issue/difficulties with any topics throughout the workshop, our Teaching Assistants will gladly help to answer your question.
Workshop Lecturer’s Notes
Including 2x Course Books (PDF), HTML files, course transcripts (if any).
Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 2-day course.
Letter of Participation
Show current and prospective employers that you’ve completed the course with a signed letter of participation.
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.