What Is Hypothesis Testing (and How To Do It)

Are you new to data analysis? Trying to get your head round some of the core statistical concepts? Then we think you’ll enjoy this webinar led by expert data scientist Dana Daskalova.

In this free, hour-long session, Dana will introduce the topic of hypothesis testing. A hypothesis is a prediction or educated guess about what the outcome of a study or experiment will be. Hypothesis testing is how you confirm or disprove your hypothesis through statistical analysis. If this sounds confusing, don’t worry! All will become clear by the end of the session.

Join us online on September 22, 2021, to learn:

-What are statistical hypotheses and what role do they play in empirical studies and projects?
-How can you structure your own empirical research around a hypothesis?
-What is hypothesis testing, and what’s the logic behind it?
-What are some testing methods you can use in Python and Excel?
-When should you not use hypothesis testing?

You’ll come away with a clear understanding of what hypothesis testing is and how you can use it in your own work. Essential know-how if you’re working with any kind of data!

We look forward to seeing you there.