Are you curious about A/B Testing?
A/B testing is used in virtually all industries, science and academia. Instead of relying on intuition, successful businesses are increasingly shifting to make decisions based on data through experimentation and statistical testing. If you are interested in understanding how to utilize data-backed testing strategies to inform your decision-making, this course is for you. We will cover the foundations of A/B testing, and teach you, hands-on, how to plan and scope, execute, and analyze statistical tests in your own work environment.
Is this course for you?
- You are a data analyst who wants to learn more about A/B Testing.
- You are in a career where A/B Testing is a common skill set.
What will the course cover?
A/B Testing TheoryLearn the principles and history of A/B testing and how leading companies like Google and Microsoft are utilizing experimentation to innovate. We’ll cover both basic questions like what A/B testing actually is (and what it is not), as well as more advanced topics like different statistical testing methodologies (frequentist vs. Bayesian statistics).
Statistical FoundationsWhether or not you have a statistics background, this course will teach you everything you need to know about the mathematical concepts involved in A/B testing, including but not limited to power analysis, the scientific method (hypothesis testing), statistical significance.
PythonWe’ll be using Jupyter Notebooks to guide you through relevant problem sets to give you hands-on experience with anything from estimating required sample size for a test to calculating if a test was successful. It is helpful, but not necessary for you to have used Python in a Jupyter Notebook prior to this class. We will conduct a brief orientation to these tools prior to using them.
How will you learn the material?
ScheduleMonday and Wednesday 6PM - 9PM
LocationThis class is online.
March 22 and 24, 2021
What is required?
- Personal Laptop (No Chromebooks please. You will need at least 5GB of free hard drive space.)
- Must be 18+ years old
- No prior technical training, analytics, or web development experience is required.
- Basic computer skills and proficiency. You should know how to use common applications, such as word processing, and have familiarity using the internet.
This is a two-night workshop. You should free your schedule to attend both sessions. If you cannot attend both sessions, please wait for our our next workshop.
Tuition will be refunded, minus Eventbrite's fees (approx. $40), if a request is made prior to the start of the first class session. If you wish to transfer to a different date, please email email@example.com before requesting a refund through Eventbrite.