๐ Product Analytics 101 course aims to educate individuals in the data analytics space.
๐ผ Getting into data analytics is challenging due to the lack of available content and the multidisciplinary nature of the field.
๐ Product Analytics requires understanding various disciplines such as psychology and technical skills like JavaScript.
๐ This course aims to help students improve their understanding of product analytics and learn how to analyze and interpret qualitative data.
๐ก The course is designed to be accessible and affordable, addressing the demand for product analytics education that is not prohibitively expensive.
๐ By the end of the course, students can expect to have a solid grasp of product analytics and its importance in the field.
๐ Product analytics is the practice of using data to gain insights about user behavior and make informed business decisions.
๐ Best practices in product analytics involve creating a measurement plan, using analytics tools to answer analytical questions, and analyzing user journeys and building cohort analysis.
๐ Key metrics in product analytics include customer lifetime value (CLV), churn rate, retention, and understanding these metrics can make you knowledgeable in the industry.
๐ Product analytics involves understanding the interplay between the product, users, and the business.
๐ Product analytics connects and analyzes data from all three components to make informed decisions.
๐ Product analytics is a data-driven discipline that is integrated throughout the entire data stack.
๐ Product analytics involves collecting, processing, storing, and modeling data to generate various outputs.
๐ผ Product analytics is crucial for businesses as it helps in making data-informed decisions and improving user retention.
๐ฐ Acquiring users is more expensive than retaining them, highlighting the importance of product analytics.
๐ Understanding user goals is essential for keeping users happy and engaged.
๐ Relying on gut feelings to design product features is outdated and risky.
๐ฐ Assessing the financial impact of product decisions is crucial for long-term success.
๐ผ Product analytics is essential for assessing the financial impact of product decisions and measuring their success.
๐ To convince others of the need for product analytics, it is important to demonstrate its value through evidence and facts.
๐ฏ This course aims to provide the knowledge and skills to effectively utilize product analytics.
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