Product Management: Product Analytics for Decision Making
Product Management: Product Analytics for Decision Making, available at $19.99, has an average rating of 4.5, with 30 lectures, 5 quizzes, based on 80 reviews, and has 7444 subscribers.
You will learn about Fundamentals of product analytics Key metrics, data collection, and analytical techniques to evaluate product performance Leveraging product analytics to make informed and data-driven decisions Product analytics guide with mixpanel Analytics insights to optimize user experience Identify growth opportunities with product analytics This course is ideal for individuals who are Product Manager seeking to enhance their skills in product analytics or Marketing managers aiming to develop a product perspective and understanding. or Project Managers seeking a hands-on experience with product management. or Program Managers aiming to develop analytical skills for better decision-making. It is particularly useful for Product Manager seeking to enhance their skills in product analytics or Marketing managers aiming to develop a product perspective and understanding. or Project Managers seeking a hands-on experience with product management. or Program Managers aiming to develop analytical skills for better decision-making.
Enroll now: Product Management: Product Analytics for Decision Making
Summary
Title: Product Management: Product Analytics for Decision Making
Price: $19.99
Average Rating: 4.5
Number of Lectures: 30
Number of Quizzes: 5
Number of Published Lectures: 30
Number of Published Quizzes: 5
Number of Curriculum Items: 35
Number of Published Curriculum Objects: 35
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Fundamentals of product analytics
- Key metrics, data collection, and analytical techniques to evaluate product performance
- Leveraging product analytics to make informed and data-driven decisions
- Product analytics guide with mixpanel
- Analytics insights to optimize user experience
- Identify growth opportunities with product analytics
Who Should Attend
- Product Manager seeking to enhance their skills in product analytics
- Marketing managers aiming to develop a product perspective and understanding.
- Project Managers seeking a hands-on experience with product management.
- Program Managers aiming to develop analytical skills for better decision-making.
Target Audiences
- Product Manager seeking to enhance their skills in product analytics
- Marketing managers aiming to develop a product perspective and understanding.
- Project Managers seeking a hands-on experience with product management.
- Program Managers aiming to develop analytical skills for better decision-making.
The “Product Analytics and User Behavior Tracking” course is designed to equip learners with the knowledge and skills needed to effectively analyze user behavior and leverage data insights for optimizing product performance.
Throughout this course, you will explore the fundamental concepts and techniques of product analytics, focusing on how to track and measure user behavior through various data collection methods. You will learn to use industry-standard analytics tools and platforms to gather, analyze, and interpret user data, enabling you to make informed decisions about product features, user experiences, and overall product strategy.
Key topics covered include defining meaningful metrics, setting up tracking mechanisms, conducting data-driven experiments, and extracting actionable insights from user behavior data. You will delve into the world of A/B testing, cohort analysis, funnel analysis, and segmentation, understanding how these techniques can uncover valuable patterns and opportunities for product improvement.
This course will help you the following :
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Understand the fundamentals of product analytics and user behavior tracking.
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Learn how to track and measure user behavior using various data collection methods.
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Utilize industry-standard analytics tools and platforms to gather and analyze user data.
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Define meaningful metrics to evaluate product performance and user experiences.
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Conduct data-driven experiments, including A/B testing, to optimize product features.
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Explore techniques such as cohort analysis, funnel analysis, and segmentation for actionable insights.
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Address ethical considerations and privacy concerns related to user behavior tracking.
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Develop the skills to make informed decisions based on data insights.
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Optimize the overall user experience by leveraging product analytics effectively.
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Suitable for product managers, marketers, project managers, and aspiring data analysts.
By the end of this course, you will have the proficiency to evaluate user behavior effectively, apply data-driven insights to drive product decisions, and optimize the overall user experience. Whether you are a product manager, marketer, project manager, or aspiring data analyst, this course will empower you with the skills to harness the power of product analytics and make informed decisions that positively impact your product’s success.
Course Curriculum
Chapter 1: Product Value and User Tracking
Lecture 1: Introduction to User behavior tracking
Lecture 2: Marketing Analytics Vs Product Analytics
Lecture 3: Introduction to Product Analytics
Lecture 4: Introduction to Mixpanel
Lecture 5: How to do Measure Product Value
Lecture 6: Assignment
Lecture 7: Types of Users and User cohorts
Lecture 8: What is Value exchange
Chapter 2: Everything about Product Metrics
Lecture 1: Product Metrics Masterclass
Lecture 2: Product Metrics and User Journey
Lecture 3: Product Metrics across industries
Lecture 4: North Star Metric
Chapter 3: Product Analytics tools deep dive – Mixpanel
Lecture 1: Setting up Mixpanel
Lecture 2: Understand Mixpanel insight, funnels and user cohorts
Lecture 3: Introduction to Google Analytics
Chapter 4: Introduction to Microsoft Excel
Lecture 1: Introduction to Microsoft Excel
Lecture 2: How to Use Pivot Table in excel
Lecture 3: Vlookup in excel
Lecture 4: Pivot table Part 2
Lecture 5: Assignment
Lecture 6: Types of charts
Lecture 7: Charts in microsoft excel
Chapter 5: Introduction to Statistics
Lecture 1: What is Descriptive Statistics
Lecture 2: Mean, Mode and Median
Lecture 3: Descriptive Statistics in excel
Lecture 4: Introduction to statistics
Lecture 5: Normal distribution
Lecture 6: Normal Distribution in excel
Lecture 7: Standard Normal distribution
Lecture 8: Z Score and Probability in Standard Normal Distribution
Instructors
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Navdeep Yadav
Product Manager | MBA |
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 7 votes
- 3 stars: 8 votes
- 4 stars: 22 votes
- 5 stars: 42 votes
Frequently Asked Questions
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