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Causal Inference for Business Decisions: Understanding Cause and Effect

Make Confident Decisions with Proven Causal Insights.

  • Schedule

    11 – 14 November 2024

    18.30 – 21.30 (WIB)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 1.500.000

Course Summary

This workshop is designed for everyone who is interested in learning how to uncover causal relationships within business data. By focusing on key concepts of causal inference, the course provides participants with the ability to differentiate between correlation and causation, apply statistical models, and make more informed decisions based on rigorous data analysis.

Throughout the online course, we will provide participants with a rich interactive experience. One Instructor and two Teaching Assistants will help participants to troubleshoot or help with any difficulties encountered by participants.

Learning Outcomes

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

  • Understand the concept of causality in data science and its importance in decision-making.
  • Apply methods of causal inference, including Propensity Score Matching (PSM), Instrumental Variables (IV), and Difference-in-Differences (DiD).
  • Build and interpret causal models using popular Python libraries.

Syllabus

  • Introduction to Python for data science
  • Working with Visual Studio Code IDE
  • Descriptive statistics using Pandas
  • Measure of central tendency
  • Measure of spreads
  • Correlation
  • Normal distribution
  • Probability density function
  • Probability mass function
  • Hypothesis testing
    • T-test
    • ANOVA (F-Test)
  • Correlation vs Causation
  • Common pitfalls: confounding, bias, and spurious correlations
  • RCT using synthetic data
  • Understanding Causal Effects in Controlled Experiments
  • Introduction to DAG
  • Identifying Confounders and Mediators
  • Propensity Score concepts
  • Distance matching
  • Matching process
  • Instrumental Variables: Assumptions and Cases
  • DiD: Assumptions, Limitations, and Applications

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 in computer vision 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, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. 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

Wulan

Data Science Instructor at Algoritma Data Science School

Wulan is a Data Science Instructor with interest and expertise in machine learning, data engineering, and data analysis. Her background in computer science combined with her wealth knowledge helped her success in conducting many training session on public and corporate training including Adira Finance, Telkomathon by Telkom Indonesia, Sinarmas Mining, DBS Indonesia, and PT Freeport Indonesia. She also plays a vital role in Algoritma main taskforce for many corporate training and consultancy.