Become a Data Driven Product Manager
Become a Data Driven Product Manager, available at $49.99, has an average rating of 4.35, with 56 lectures, based on 444 reviews, and has 2477 subscribers.
You will learn about Product Management Data analytics Data Driven Solutions Define success metrics A/B test Read data Take decisions based on Data Product Data Driven User funnel (AARRR) analysis Conversion rates Find relevant metrics Answer interview questions on Data Analytics Cognitive Biases Design charts Present data to stakeholders Communicate with stakeholders on data Define events and properties This course is ideal for individuals who are Product Managers who want to take data driven decisions or Product Managers who use analytics in their daily routine or Students who start or want to start a career as product managers or Students who wants to improve their skills in Data analytics tools like A/B test It is particularly useful for Product Managers who want to take data driven decisions or Product Managers who use analytics in their daily routine or Students who start or want to start a career as product managers or Students who wants to improve their skills in Data analytics tools like A/B test.
Enroll now: Become a Data Driven Product Manager
Summary
Title: Become a Data Driven Product Manager
Price: $49.99
Average Rating: 4.35
Number of Lectures: 56
Number of Published Lectures: 56
Number of Curriculum Items: 56
Number of Published Curriculum Objects: 56
Original Price: $139.99
Quality Status: approved
Status: Live
What You Will Learn
- Product Management
- Data analytics
- Data Driven Solutions
- Define success metrics
- A/B test
- Read data
- Take decisions based on Data
- Product Data Driven
- User funnel (AARRR) analysis
- Conversion rates
- Find relevant metrics
- Answer interview questions on Data Analytics
- Cognitive Biases
- Design charts
- Present data to stakeholders
- Communicate with stakeholders on data
- Define events and properties
Who Should Attend
- Product Managers who want to take data driven decisions
- Product Managers who use analytics in their daily routine
- Students who start or want to start a career as product managers
- Students who wants to improve their skills in Data analytics tools like A/B test
Target Audiences
- Product Managers who want to take data driven decisions
- Product Managers who use analytics in their daily routine
- Students who start or want to start a career as product managers
- Students who wants to improve their skills in Data analytics tools like A/B test
Hello and welcome to the course Data Analytics for Product Managers.
This course covers all topics you need to know to be a data-driven product manager.
In this course, you will learn
#1 – How to look at user metrics & business KPIs
#2- Look at your data and get insights
#3- Take action on your data
#4- Track feature success
#5- Communicate on data with your stakeholders
#6- Use tools like A/B test to drive Data-Driven Decisions
Working for a software company and having to make decisions on the product can be tricky and complicated. All courses, conferences on product management talk about being data-driven, “take data-driven decisions”, “use data to drive decisions…” but articles don’t really give a deep understanding of what it means.
What should you track?
How to look at company KPIs and catch insights?
How to act or react to data
How to work with data departments
How to use Data analytic tools like A/B test
etc.
I was there 6 years ago and I quickly understood that if I want to be a proactive PM who makes data-driven decisions, I need to become an expert in data analytics.
For the past year, after feeling confident about it, I decided to gather all my learnings from articles, experiences as a PM and create the most complete course on Data Analytics for Product Managers.
My Name is David Kremlinsky. I work for now 6 years in the software industry. Before that, I studied Business Management and completed an MBA in Business Management and Entrepreneurship. I am passionate about data and in this course, I want to turn you into an expert but most importantly, make you enjoy data analytics.
What will you learn in this course?
Very simple. Be a Data-Driven Product Manager
What makes it different from other courses?
I thought about the perfect syllabus to cover all topics. To remember something, you have to practice it. In this course, I used real-life examples using the known product as Airbnb, Facebook, Twitter, Amazon, Google,etc, to cover a maximum of industries and make sure the knowledge you acquire doesn’t stop to a simple theoretical knowledge. For this purpose, you will practice on a real case. You will use everything you learned during the course to analyze the situation and give your thought.
Most important, you need to practice. The last part of this course is a simulation.
You will be a PM at Podcasty and together we will go over your first weeks.
I want this course to be interactive! So, don’t hesitate to send me feedback, contact me if you have any questions!
After the course, you will be part of a community! I hope to share with you the best articles on product KPIs, open discussions on data and new courses, videos coming!
I wish you good luck!
David
Course Curriculum
Chapter 1: Chapter 1 – User Funnel Analysis (Part 1)
Lecture 1: Introduction
Lecture 2: Top of the funnel > Acquisition Metrics
Lecture 3: Activation metrics
Lecture 4: Engagement metrics
Lecture 5: Retention metrics
Lecture 6: Churn metrics
Lecture 7: Revenue metrics
Lecture 8: Vanity/Lagging metrics VS Actionable/ Leading metrics
Chapter 2: Chapter 2 – User Funnel Analysis (Part 2)
Lecture 1: Metrics by industry
Lecture 2: Monetization metrics
Lecture 3: Define actionable company KPIs
Lecture 4: Practice: Define KPIs
Lecture 5: BONUS: practice interview questions on product KPIs
Lecture 6: Your turn! Analyze user funnel analysis
Chapter 3: Chapter 3 – Measure Product Success
Lecture 1: Introduction
Lecture 2: Type of KPIs
Lecture 3: Good metric definition
Lecture 4: Define success of your features
Lecture 5: Track performance of your features
Lecture 6: BONUS: interview questions
Chapter 4: Chapter 4 – Get insights from the data
Lecture 1: Introduction
Lecture 2: Approach the data – Define Correlation
Lecture 3: Approach the data – Correlation VS Causation
Lecture 4: Read the data
Lecture 5: Conversion rates metrics
Lecture 6: Cognitive Biases
Chapter 5: Chapter 5 – From metrics to product decisions
Lecture 1: Introduction
Lecture 2: Act on Data
Lecture 3: React on data
Lecture 4: Let's practice!
Chapter 6: Chapter 6 – Track actions in your product
Lecture 1: Introduction
Lecture 2: Prerequisite on Data Infrastructures
Lecture 3: Define your events
Lecture 4: Define your properties
Lecture 5: Common tips on events tracking
Chapter 7: Chapter 7 – Stakeholder interactions
Lecture 1: Introduction
Lecture 2: Collaboration with data teams
Lecture 3: Present data to other stakeholders
Lecture 4: Design charts
Lecture 5: Common tips for data visualisation
Chapter 8: Chapter 8 – A/B testing
Lecture 1: Introduction
Lecture 2: Before the A/B test
Lecture 3: A/B testing: define a winner!
Chapter 9: You just get hired as new PM! Welcome to Podcasty!
Lecture 1: Introduction
Lecture 2: 1st day at work! Meeting with the HR
Lecture 3: 1st day: Interview with Stakeholders
Lecture 4: 2nd day at work – Define new KPIs
Lecture 5: 3rd day at work – Find assumptions
Lecture 6: 2nd week at work – Assumptions to hypothesis
Lecture 7: 3rd week at work – Test your hypothesis!
Lecture 8: AB test results!
Lecture 9: 7th week at work! Define metrics
Lecture 10: 7th week at work! Define events
Lecture 11: 8th week at work: Drop in one metric!
Lecture 12: 18 week at work: First results…
Chapter 10: Conclusion
Lecture 1: Conclusion
Instructors
-
David Kremlinsky
Product Manager and entrepreneur
Rating Distribution
- 1 stars: 12 votes
- 2 stars: 23 votes
- 3 stars: 86 votes
- 4 stars: 145 votes
- 5 stars: 178 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Language Learning Courses to Learn in November 2024
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024