Predictive Analytics for Business

Learn the fundamental principles of data science and apply them to a variety of business tasks.

  • Schedule
    • Day: Thursday – Friday
    • Date: 24 – 25 April 2024
    • Time: 17.00 – 21.00 (WIB)
  • Location

    Online Via Zoom

  • Investment

    Rp. 100.000


Discover the fundamentals of data science in our introductory workshop designed to provide a solid foundation in a condensed timeframe. In just 2 days, you will embark on an immersive learning journey where you’ll explore the essential principles and practical applications of data science in a variety of business tasks.

Led by expert Instructor, this workshop introduces you to the significance of data-driven decision-making and equips you with the essential skills to manipulate, analyze, and visualize data effectively. Through interactive exercises and guided examples, you will gain hands-on experience in exploring data, deriving insights, and presenting findings through impactful visualizations.

Please note that this workshop serves as an introduction to the field of data science and aims to provide a strong starting point for further exploration. While you won’t become a data science expert in just 2 days, you will gain valuable insights and practical skills that can be applied to your work and serve as a stepping stone for further learning.

Course Syllabus

  • What is Data Science and Machine Learning
  • Data Science Implementation in Business Industry
  • Data Science Workflow
  • R and RStudio
  • Working with RMarkdown
  • Introduction to Dataframe
  • Data Types
  • Subsetting
  • Exploratory data Analysis
  • Introduction to Regression Models
  • Predictor and target variables
  • Machine learning implementation
  • Predict model to new data
  • Evaluation with error values


Yusuf Rafsanjani

Sr. Data Science Instructor

Yusuf Rafsanjani is a data science instructor at Algoritma Data Science School with a robust educational background in statistics, providing a strong foundation for extracting insights from data through data visualization, assumption testing, and predictive model building using machine learning techniques. Proficient in R and Python programming languages.

With excellent communication skills, Yusuf excels in conveying complex concepts to learners, evidenced by his involvement as a team teacher in prestigious corporate training programs for companies such as Toyota Astra Motor, Bank DBS, Bank BRI, Bank HSBC, LAN RI, and KPU RI. he has successfully completed projects such as developing dashboards for operational algorithm teams to track and manage inventory requests efficiently.

Frequently Asked Questions

This workshop is designed for individuals from diverse backgrounds who have an interest in data science. Whether you’re a business professional, student, or simply curious about the field, this workshop provides a solid introduction to the principles and applications of data science.

No prior knowledge or experience in data science is required. This workshop is specifically designed as an introductory level course, catering to beginners in the field. We will start from the basics and gradually build upon that foundation throughout the workshop.

By the end of the workshop, you will have a solid understanding of the fundamental principles of data science. You will learn how to explore and analyze data, manipulate datasets, and create impactful visualizations. While this workshop provides a strong starting point, it is important to note that it is an introductory workshop and does not make participants experts in data science.

The workshop primarily focuses on using R, a popular programming language for data analysis and visualization. We will also introduce essential R packages and tools commonly used in the data science field. Installation instructions will be provided prior to the workshop.

Yes, you will have continued access to the course material even after completing the course. This allows you to revisit the content and refresh your knowledge.