How to expense a Modal Course
Before you enroll

Remember to confirm your employer’s expense policy and/or get approval from your manager before purchasing a Modal Course! Please refer to any internal guidelines for the most accurate instructions for getting reimbursed.

Your receipt

After you enroll in a Modal Course, you will receive a receipt via email. Be sure to double check what your company requires, but typically you can attach this receipt to your company’s expense software, or forward it directly to your accounting team for reimbursement. Please reach out to support@modal.io if you need help adding extra required information to your receipt or if you have any questions.

Your certificate

Some employers require a certificate of completion before reimbursing an educational expense like this one. Upon completion of your course, you will receive your certificate via email, and will also be able to download your certificate from your Modal Dashboard. Your certificate will include your name, the course name, and the month/year you earned your certificate.

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Design Successful Analytics Experiments

In this course, you’ll learn the fundamentals of experiment design and A/B (split) testing.
Who Is This For?

Data Professionals interested in learning more about experiment design and A/B testing.

Any prerequisites?

Causal Inference 

  • Familiarity with topics such as confounding, assumptions (eg., exchangeability), potential outcomes, counterfactuals, causal estimands, and estimators.

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Probability

  • Familiarity with topics such as random variables, probability distributions, expectation and variance, conditional probability.

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Inferential Statistics

  • Familiarity with topics such as Central Limit Theorem, hypothesis testing, confidence intervals, linear and logistic regression for statistical inference (eg., interpreting coefficients from a model).

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Python & Data Analysis

  • Familiarity with using Python as part of a Data Science workflow (Pandas, NumPy, Matplotlib, Seaborn).
  • Basic data cleaning and preparation skills.
What will I be able to do after this Course?

By the end of the course, you will be able to design and plan experiments and A/B tests, and conduct reproducible research.

Reimbursement FAQ

Course Overview

Sprint 1: Introduction to Study Design
Learn how to design an experiment by identifying key components such as independent and dependent variables, potential confounders, and sampling and randomization methods.
Sprint 2: AB Testing
Learn how to plan an A/B test by identifying the appropriate test, power, and sensitivity for a given business question and calculating the required sample size based on those factors. Then, learn how to conduct reproducible experiments by implementing techniques such as Bonferroni corrections.
Sprint 3: Multi-Arm Bandits
After a brief overview of multi-arm bandits, bring it all together in your Capstone Project, a real-world problem where you will conduct an experiment and present your results.

What’s in a Modal course?

1:1 Coaching
Receive personal guidance, instruction, and motivation from real, practicing industry experts.
Real-world simulations
Practical coursework blends simulated and real-world projects, ensuring you are building job-ready skills.
Integrated code editor
In-browser coding environment mitigates challenges while enabling paired programming and inline feedback.
Structure & flexibility
Engage with content when your schedule allows. Our assignments and deadlines help you stay on track and our coaches keep you accountable.
Individual guidance
Courses for a variety of career goals, skill needs, and company objectives, ensuring learning is both relevant and productive.
Capstones projects
Challenging and satisfying capstone projects allow you to demonstrate the skills you’ve learned, while reinforcing collaboration and business skills.

Meet our coaches

Linda Liu
Director, Data Science & Analytics

Working with the learners makes it an incredibly rewarding journey. The shared excitement and collaborative growth highlight the entire fulfilling coaching experience!

Nataliia Maksimova
Director, Business Intelligence

It's incredibly inspiring to introduce people to the fascinating world of data. Sharing my passion for data and showing that it's not just dry numbers but a creative field where you can grow and innovate is deeply rewarding.

Udit Mehrotra
Senior Data Scientist

Seeing the growth in my learners is not only heartening but also assuring because I know I had a significant role to play in shaping their journey.

Interested in buying multiple seats for your team?
Contact us