Product Analytics Essentials for Product Managers

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Product Analytics Essentials for Product Managers

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Applies product analytics essentials for product managers using tools and methodologies to analyze user behavior

Original Description

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 imp
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
A Bloomberg Terminal Costs $32,000 a Year. Here’s the Same Read, Free, in Five Minutes.
Access financial data without costly Bloomberg terminals, leveraging free alternatives for data analysis and interpretation
Medium · Data Science
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to handle real-world data in various formats like CSV, Excel, and JSON to work confidently with any given data
Medium · AI
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to work with real-world data in various formats like CSV, Excel, and JSON to confidently handle diverse data sources
Medium · Machine Learning
📰
Working With Real World Data: CSV, Excel, and JSON Files
Learn to work with real-world data in various formats like CSV, Excel, and JSON to confidently handle diverse data sources
Medium · Data Science
Up next
This could be the most perfect data frontend
Matt Williams
Watch →