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AUTOMATE YOUR PRICE OPTIMIZATION WITH MACHINE LEARNING

  • Schedule

    22-24 June 2021

    18.30 – 21.30 (WIB)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 3.300.000

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CLASS STARTS IN

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Course Summary

Setting the right price for a product or service is essential for businesses. If a business charge too low for their services, they would lose revenue potential. If they charge too high, on the other hand, they could end up losing customers.

There are various strategies to determine the price of a product or service. One of the critical elements to determine the best pricing is by understanding the price elasticity of demand (EpD). EpD is a measure of how sensitive the quantity demanded of it is to its price. For some products, demands can decline sharply with a slight price increase, and for other products, they can remain almost the same, although with significant price increases.

This 3-day online workshop is a beginner-friendly price optimization modeling with R. We will identify the optimal prices for products based on the price elasticity of the items. Throughout the online course, we will provide participants with hands-on examples and a rich interactive experience. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered.

NOTE: This workshop will be delivered in Bahasa Indonesia.

LEARNING OUTCOMES

Upon completion of this workshop, you will be able to:

  • Work with R and tidyverse for data cleansing and manipulation processes.
  • Understand various machine learning techniques for price optimization.
  • Build price optimization model with tidy models library in R.
  • Walkthrough of price optimization for one product and automate the model selection process.

Syllabus

  • Dynamic pricing and the challenge of setting the right price.
  • How machine learning is reshaping price optimization.
  • Pricing optimization case study.
  • Introduction to R for data science.
  • Working with RStudio environment.
  • Data manipulation and processing with R tidyverse.
  • Understanding the machine learning workflow.
  • Pricing decision with a tree-based prediction model.
  • Ensemble-based Methods: Comparing Random Forest, AdaBoost, and XGBoost for modeling complex price predictions.
  • Various model tuning and improvement techniques.
  • Create an automated script to build a dynamic pricing model.

STUDENT TESTIMONIALS

This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.

LEARN FROM ANYWHERE

Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.

  • LEARN AT YOUR OWN PACE

    Zoom recording, course Books (PDF & HTML files), the dataset for practice, reference notes, and working files are accessible through our Learning Management System account.

  • PROOF YOUR MASTERY

    Show current and prospective employers of your mastery with a signed certificate of completion.

  • CONNECT WITH LIKE MINDED PEOPLE

    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.

FOR ABSOLUTE BEGINNERS

Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

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.

YOUR INSTRUCTOR

Ahmad Husain Abdullah

Husain is a Senior Data Science Instructor at Algoritma Data Science School and one of 5 holders of RStudio Trainer Certification in Indonesia. He enjoys the time making data more meaningful and loves to help companies make data-driven decisions.

Having more than 800 hours of teaching experience, he had involved in numerous consultative data science training for our Clients, to name a few:

  • Bank Central Asia
  • Permata Bank
  • PT. Sigma Cipta Caraka
  • Tokopedia
  • Indosat
  • Badan Pemeriksa Keuangan Indonesia