Product Analytics Online Courses & Certifications
Product analytics is the “nervous system” of the product and business, on which the adequacy of the picture of the world of employees who work on the product and, ultimately, the survival of the products that the company produces depends.
The more perfectly tuned it is, the faster you react to important signals and the more effective your decisions. Product analytics training includes topics such as the history of the field, the difference between product analytics, web analytics, and business intelligence, data structure development, data collection setup, data filtering, report setup, and data visualization, how to formulate questions and find answers in data, product analytics tools, work with experiments, documentation.
The simulator is like an internship with the world’s top product teams. But, unlike an internship, you will make key decisions that affect the product and see their consequences. In a few months, you will go from an idea to a highly demanded product ready to scale. In the process, learn to identify standard situations and problems, and choose the best methods to solve them.
The growth function of a product is often associated with either marketing and promotion channels, or generating and testing hypotheses, or experimenting and optimizing funnels. These are all important components, but focusing on each of them loses the bigger picture. The purpose of the simulator is to teach you how to make a clear connection between product growth and the leverage available to the team. In the simulator, you will explore the issue of growth in a broad sense, where marketing and product become a single system.
Course will help to learn how to use SQL for product development and marketing, reduce your dependence on data analysts and solve most typical SQL tasks. You will get hands-on skills working with a marketplace database. You will gather, examine, clean up data, and calculate key metrics to use this information to tackle key product and marketing issues.
By the end of this path, you’ll be able to: Identify what business problems Funnel Analysis can be used to help solve. Explain how Funnel Analysis relates to other charts and tools. Identify when and where drop-off is happening in your product. Build and Interpret Funnel Analysis charts to help solve certain business problems. Discover sequences of events users follow within your product by building and interpreting Pathfinder charts.
In this path, we’ll discuss the importance of monetization for driving long-term growth and how to think about what monetization looks like for your specific product. We’ll discuss how to analyze your current baseline monetization metrics with Amplitude and develop goals and strategies for improvement.
In this path, you’ll learn more about your user base and how to apply that knowledge further. Specifically, you’ll learn to: Identify ways to group customers by common attributes or properties that you care about. Leverage those groups for more detailed analyses later with Amplitude Cohorts. How to share your early insights in a Notebook
This series of three courses is designed to take you through the cycle of data creation and introduce frameworks, resources, and essential Amplitude tools to help you be successful at each step. You will go through the Fundamentals of Data Taxonomy Design, the Instrumenting Your Data Taxonomy, as well as the Data Governance and Maintenance Best Practices courses. The Getting Started with Amplitude Data is not a prerequisite for this learning path; however, the Amplitude Data product will be referenced as a tool where appropriate.