fbpx

AUTOMATE:

Business Reporting with R

8-9 April 2020
14.00 – 17.00 (WIB)

LIVE STREAMING
Online Learning

IDR 330.000

Course Summary

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

COURSE OBJECTIVE

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.

Syllabus

  • Introduction to Rmarkdown
    • Write R command in the markdown file
    • Markdown text
    • Setting global option that apply to every command in Rmarkdown
    • YAML options (title, subtitle, author, table of content, etc)
  • Generate report from rmarkdown file
    • Pdf document
    • Word document
    • Html document
    • Interactive PowerPoint presentation
  • Parameterized Reports
    • Declaring parameters
    • Using parameter in code chunks
    • Using parameter inline code
  • 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
    • Importing dataset
    • Data cleansing
    • Data transformation
  • Descriptive statistics
  • Automated reporting of object in R with easystats
  • Create awesome table with kable and kableExtra
  • Reproducible function (R script)
  • [Demo Only] Generating downloadables report using shiny

Your Instructor

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.

Automate Series

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

Yes, you can still attend the workshop as it is a beginner-friendly workshop.

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.

We are going to use Zoom.us.

We will send the workshop materials via email before 8 April 2020.

You will receive a Letter of Participation via email.

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 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 2-day course.

  • Letter of Participation

    Show current and prospective employers that you’ve completed the course with a signed letter of participation.

  • 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.