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Product Analytics Essentials for Product Managers

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.
Duration 5 Months
Institution Packt
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Packt.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $261
Total Est. Investment $261

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Product Analytics Essentials for Product Managers program at Packt are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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