Time Series Analysis for Business Forecasting

Online Data Science Series

12-14 May 2020
14.00 – 17.00 (WIB)

Online-Interactive Learning

IDR 550.000

Course Summary

This 3-day online workshop is a beginner-friendly introduction to Time Series Analysis for Business Forecasting. By performing a time series analysis on your historical business data and comparing it with current trends, you will be able to make a more informed decision. 

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:

  • Work with the R language and open source packages for data cleansing and manipulation process
  • Identify and analyze underlying pattern for time series components such as trend and seasonality
  • Perform data forecasting for time series using Facebook’s prophet package in R
  • Produce explanatory report using R Studio tools incorporating analysis results, such as: time series components, model performance, and business recommendation


  • R Programming Basic
    • R and RStudio
    • Vector and Classes
    • List and Data Frame
  • Time series data wrangling and preparation
    • Time Series Frequency
    • Data Aggregation
  • Time Series Decomposition
    • General Additive Model
    • Extracting Trend
    • Extracting Seasonality
  • Model Fitting
    • Saturating Trend and Multiple Seasonalities
    • Holiday Effect
    • Time Series Fitting and Forecasting
  • Model Cross-Validation
    • Forecasting Error
    • Prediction Interval
    • Model Components Visualization
    • Forecasting Assumption and Limitation
  • Modify a Reproducible R Script
  • Produce Pretty Visualization for Your Report
  • Analyze and Perform Business Recommendation


This testimonial video is taken after our previous online-interactive learning workshop (Automate Series: Business Reporting with R):


Your Instructor

Having a wide variety of industrial experiences, Tiara Dwiputri has picked up a lot of angle in dealing with data-related cases. She majored in Information System and Technology and is equipped with knowledge in IT infrastructure, system and process design, business analysis, and data mining.

Tiara is one of the senior Data Science Instructors and holder of the R Studio Trainer Certificate. Tiara has conducted numerous consultative training for BCA, Ngee Ann Polytechnic Singapore, Citibank, Tokopedia, Indosat,  Kereta Api Indonesia, and SAKA Energi, to name a few.

Online Data Science Series

Workshops in our Online Data Science Series are tailored to casual learners, working professionals, and non-programmers that are taking their first steps into data science and machine learning.

Students are not assumed to have a working knowledge of R or prior proficiency in statistics/mathematics/algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants

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 a Google Classroom.

Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.

Learning materials can be obtain via Google Classroom

Yes, you will receive a certificate of completion.

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 3-day course.


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

  • 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.