Learn Essential Analytics Skills for Product Success
Let me show you how to interpret data and build successful products with The Ultimate Product Analytics course. Tailored for non-technical professionals - no coding background required!
Trusted By Product Managers & Analysts From Top Startups
Each chapter of The Ultimate Product Analytics Course trains you on a related set of topics with an
What you will learn:
- Develop good success metrics and KPI's for your product.
- Analyze product data with Mixpanel, a popular product analytics tool
- Learn only the necessary parts of SQL necessary for a product manager
- Avoid the most common mistakes when setting up an A/B tests
- Write the most important document in all of product analytics: The Tracking Plan
"I really enjoyed the course! Ali is a great instructor and has the experience that makes the courses much more enjoyable by bringing in real world examples. My favorite part was actually learning SQL since it's a skill that I want to learn/improve on."
"Ali explains concepts in such a clear and memorable way and provides the perfect level of detail in his product analytics course. He gave me incredibly helpful context that I now use as an engineer implementing tracking plans."
"Honestly, the whole course was great. I didn't think there was a part that wasn't valuable. Everything at least for me was additive. A few things I liked in particular: impact measurements and models of how to dive into determining those, core/counter metrics."
"I took the 'Data Analytics for Product Managers' course with Ali around the time I was considering transitioning to a PM role from a technical one. The course was a fantastic introduction to KPIs and metrics and helped me successfully interview for product roles"
"Ali has deep expertise in product analytics, and this course was invaluable. I’m fairly technical for a PM, and have been doing product work for years, but I learned a lot. I was able to immediately put things we covered to work that drove business impact, and made a big difference at my company."
Taught by a Top Ranked Mixpanel Partner
Hi, I'm Ali, I created this course to help product managers and analysts...
Ali is the founder of Mentat Analytics , a successful product analytics firm based in Los Angeles. As a certified partner of Mixpanel and Segment, Mentat is currently the highest rated agency on the Mixpanel partner directory. Prior to founding Mentat, Ali was the Product Data Lead for Bird, as well as a data scientist at BuzzFeed.
Before his career in the tech industry, Ali worked for years as a teacher and tutor. During this time he learned how to convey difficult concepts in an easy to understand way, while keeping his students engaged. Once you learn to teach math to middle school kids, everything else gets a lot easier.
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Mini-course: Product Success Metrics
FREE mini-course: Learn a simple method for setting success metrics for any product
Module Details
Mini-course: Product Success Metrics
This free mini-course focuses on one goal: teaching you a simple and adaptable method that allows you to set success metrics including engagement rate, retention, conversion, and exposure.
If you’re not familiar with Product Analytics Academy’s style of teaching, this course is a great way to see our approach of simplifying difficult topics and allowing you to apply your learnings to any situation.
Note: this lesson is offered for free as a preview for the rest of the course. It is included in the full version of the course as well.
- Product Success Metrics: A Complete Guide
1. Understanding Product Metrics & KPIs
Get a deep understanding of metrics that grow your product
Module Details
1. Understanding Product Metrics & KPIs
Without strong metrics you don’t know how your product is performing at any moment or how that performance has changed over time.
Metric selection can often be a difficult task for product managers, given that it requires a different type of thinking than most of the other problems they face.
This module turns you into an expert in metrics selection and KPI setting through a list of best practices and rules that you can apply to any setting.
- 1. What makes a good metric?
- 2. The most important skill in analytics
- 3. How to come up with a good metric
- 4. Quantifying the qualitative
- 5. Normalize your metrics
- 6. When to use medians
- 7. Ali's Metrics Framework
- 8. Practicing these skills
- 9. Set KPI's for any product
- Takeaways and Key Lessons - Product Metrics
- Exercises - Product Metrics
- Exercise Solutions - Product Metrics
2. A/B Testing Best Practices
Avoid the most common A/B testing mistakes
Module Details
2. A/B Testing Best Practices
A/B tests (aka Split tests) are the most used decision making tool for all product managers. You don’t need advanced knowledge of statistics in order to correctly set up a test (your analytics team does), but you do need to understand some important best practices.
Running A/B tests for an indefinite amount of time, not including a counter-metric in the test, and accidentally P-hacking your own results are examples of common mistakes that product managers make when dealing with A/B tests.
This module of the course gets you to avoid these most common mistakes so you can trust your test results.
- 1. Split tests
- 2. Counter-metrics
- 3. Best practices
- 4. Statistical significance
- 5. Don't run tests "until significance"
- 6. P-Hacking
- Takeaways and Key Lessons- Experiment Design
- Exercises - Experiment Design
- Exercise Solutions - Experiment design
3. Analyze Product Data With Mixpanel
Develop insights using a product analytics tool
Module Details
3. Analyze Product Data With Mixpanel
Everybody loves an insightful chart. Thanks to product analytics tools like Mixpanel and Amplitude, you no longer have to know how to code in order to create such a chart.
In this module you’ll learn how to make a product analytics dashboard using Mixpanel. With this skill in hand you can answer your own questions instead of waiting for a team member to try and answer it for you.
You’ll start by learning how these product analytics tools work, then you’ll move on to building actual live charts using simulated data that is included with the tool.
- 1. Why product analytics tools are helpful
- 2. How they are different from business intelligence tools
- 3. Events & properties
- 4. Overview of features
- 5. Insights
- 6. Funnels
- 7. Retention
- 8. Cohorts
- 9. Review of Amplitude
- Takeaways and Key Lessons - Analyze data with Mixpanel
- Exercises - Analyze data with Mixpanel
- Exercise Solutions - Analyze data with Mixpanel
4. How To Write A Tracking Plan
Understand the most important document in product analytics
Module Details
4. How To Write A Tracking Plan
All the analysis skills in the world won’t make a difference if you don’t have good data. You don’t get good data without planning it in advance. Hence the importance of the tracking plan.
The tracking plan contains a list of user actions and product occurrences that you want to capture data about. Included along with each action are the data points that capture the context around that action.
This module teaches you a simple process that you can use in order to write a tracking plan for any product, regardless of complexity.
- 1. The importance of good data capture
- 2. Event code snippets
- 3. What is Segment?
- 4. Tracking plans
- 5. How to build a tracking plan
- 6. User properties
- 7. Impact measurement in a PRD
- Takeaways and Key Lessons - Tracking Plans
- Exercises - Tracking Plans
- Exercise Solutions - Tracking Plans
Module Details
5. SQL For Product Managers
SQL is the primary way that data is retrieved from a database. It also happens to be a great way to develop data-driven thinking by learning to visualize how data sits in a table.
By learning SQL you will become far more independent as a product manager and truly understand how to think of data the right way.
The best part? Product managers only need a fraction of the SQL skills needed by a data analyst or analytics engineer. This chapter focuses only on the parts that a product analytics role needs, so you can learn SQL fast.
- 1. What is a relational database
- 2. What is SQL
- 3. How SQL is used
- 4. "Select" statements
- 5. Basic Operations
- 6. Joining tables
- 7. Aggregations
- 8. SQL Recap
- Takeaways and Key Lessons - Learn SQL Fast
- Exercises - Learn SQL Fast
- Exercise solutions - Learn SQL Fast
Capstone Project
Capstone project for receiving your product analytics certification
Module Details
Capstone Project
- Capstone Project - Explanation and walkthrough
- Capstone Project
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The only product analytics course you'll need.
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We are confident in the quality of this course and we're happy to provide you with a refund if you're not happy with our content.
Everything you need to understand product analytics without any technical skills.
- No technical skills required
- Learn At Your Own Pace
- Real-world scenarios
- Practice Applying Your Skills
- Lifetime Access To Content
Frequently Asked Questions
We estimate that the current set of 5 chapters
and a capstone project will take you 6 weeks if you spend 2 hours a week on it. This includes the time it will take to do the exercises. However, some of our students have completed the whole thing in one week!
You can get lifetime access to all course content as well as the course certification for $299.
Yes we provide a refund within 14 days of your enrollment. You can view our full refund policy here.
Yes, absolutely. Just email me at [email protected] and let me know how many people you would like to enroll in the course. We'll work out a price that works for you.
No you don’t. There is no technical background necessary. You will know basic SQL (which covers the majority of your use cases) by the time you’re done with the course though.
When you complete the course, you can also complete a small capstone project which will be reviewed by me. You will then be provided feedback and your Product Analytics Expert certificate.
Certification is optional. If you're not interested in certification, you can enroll in the course at a lower price.
Shoot us an email at [email protected] and let us know how much you feel comfortable paying. We'll hook you up with a discount code.
Also keep in mind that if you're employed already, your company is very likely to reimburse you for the cost of the course. Most employers are happy to pay for their team members to upgrade their skillset.
To be completely honest, because I don't like social media and the last thing you need is yet another account that just retweets analytics-related articles.
I'd much rather take the time it takes to run a Twitter account and use it to work on making great learning content right here as part of this course.
Most product analytics platforms use the same core reporting tools, which are the ones covered in this course. We mostly use Mixpanel in this course and briefly show you how to do things in Amplitude too, but your learnings will very easily translate to other tools in this category such as Heap, Adobe, FullStory, and PostHog.
The Ultimate Product Analytics Course
Learn Essential Analytics Skills for Product Success