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Coursera

Product Analytics Essentials for Product Managers

Packt via Coursera

Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of data in product management! This course equips you with essential tools and methodologies in product analytics, enabling you to analyze user behavior, enhance product performance, and drive better product decisions. You will learn how to define key metrics, uncover value moments, segment users, and design data-driven product strategies to increase user satisfaction and engagement. As you progress, you will delve into practical exercises that let you apply these concepts to real-world scenarios, from identifying active users to conducting A/B tests. The course flows from defining your product’s value proposition to advanced techniques like measuring product growth and identifying power users. Each section is designed to build on the last, ensuring that you can progressively apply your new skills and gain meaningful insights into your product’s success. Throughout the course, you’ll not only learn critical product analytics methods but also engage in interactive exercises that challenge you to apply what you’ve learned in real-time. Whether you are working with established products or developing new ones, this course will guide you through the process of refining your approach and making data-informed decisions that drive growth. This course is perfect for product managers, aspiring product analysts, and anyone working in a product-related field who wants to enhance their skills in data analytics. It requires no prior analytics experience and is ideal for those looking to improve their decision-making through product data. By the end of the course, you will be able to define your product's key value moments, segment users into meaningful cohorts, track user engagement and drop-off, and apply data-driven strategies to improve product performance.

Syllabus

  • Getting Started with Product Analytics
    • In this module, we will introduce you to the world of product analytics, outlining the course structure and objectives to set the stage for your learning. You will explore the core concepts behind product analytics, its significance in decision-making, and begin engaging with real-world scenarios to apply your new knowledge.
  • Defining Your Product's Value Proposition
    • In this module, we will focus on understanding how your product adds value to users by identifying key moments in the user journey that drive engagement and satisfaction. You'll learn how to clearly define these value moments, assess their effectiveness, and develop strategies to eliminate friction, ensuring a seamless user experience.
  • Measuring Product Performance
    • In this module, we will dive into the essential metrics needed to measure your product’s performance. You will learn how to define and track active engagement, analyze user drop-offs, and understand the importance of retention metrics. These insights will help you assess your product’s growth and optimize its success based on real user behavior.
  • Identifying Your Ideal Users
    • In this module, we will focus on the importance of understanding your target users through segmentation and data analysis. You'll learn how to identify distinct user cohorts, extract insights from this data, and recognize power users who influence your product’s success. These strategies will help you refine your product approach and better meet the needs of your ideal users.
  • Data-Driven Product Creation
    • In this module, we will explore how data plays a pivotal role in the creation of user-centered products. You will learn the distinctions between data-informed and data-driven design, and gain practical insights into testing strategies like A/B testing to fine-tune product features. By the end, you’ll be equipped to leverage data to create products that better meet user needs and expectations.

Taught by

Packt - Course Instructors

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