This unit introduces the concepts of hypothesis testing and statistical significance in the context of web analytics. Students will learn how to formulate hypotheses, conduct statistical tests, and interpret the results to make informed decisions based on data. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Importance of Web Analytics
• Types of Web Analytics Data
• Web Analytics Tools and Platforms
• Tracking Codes and Implementation
• Data Accuracy and Sampling
• Data Segmentation and Filtering
• Traffic Metrics: Users, Sessions, and Pageviews
• Engagement Metrics: Bounce Rate, Time on Page, and Scroll Depth