Basic Analytics Course for Product Managers

Why it is important:
Product development is impossible without the use of product analytics. It's not enough to know metrics, you need to solve real cases and touch analytics systems with your own hands.

What it looks like:

• We analyze the theory on the simulator and immediately practice.
• We learn what kinds of analytical systems are available and why to use them. We are consciously not attached to any one analytics system.
• We solve cases in the Mixpanel product analytics system.

You will learn:

• How to work with Mixpanel and other similar systems.

What do students say about the lesson:

• Alevtina: "I liked that the logic of reasoning on the analysis and solution of the problem is explained."
• Inna: "The simulator is super. The interactive format works great, the tasks are clearly set, the questions are very relevant, they make you think, and most importantly, you study the tool and theory in practice. So cool!"
• Dilara: "An exciting start! Thank you. I want to move on. It seems to be simple, but there are always nuances. It's good that there are links to reports to understand your goals :)"

Average passage time: 1-2 hours.

Why it is important:
Metrics are often referred to as some “flat” quantity that has only a certain numerical value. But in fact, each metric is unique. It is important for us to understand how they are formed and “distributed” in terms of data as this directly affects the quality of decisions made.

What it looks like:

• We will give you the necessary theoretical part about popular metric distributions.
• You will learn from theoretical examples and practical cases, and you will be able to apply this knowledge in real work.

You will learn:

• What is the distribution of the metric, what it affects, and, most importantly, how to use it.
• How different types of metrics affect the result.

What do students say about the lesson:

• Ekaterina: "In general, it is interesting and a bit difficult! It was not easy to find how to calculate % of payments less than 50 euros, I counted it in my mind as a result."
• Anton: "I feel more confident with Mixpanel. Good tasks to think about."
• Alevtina: "Liked it: 1. Solve specific, practical cases and tasks. 2. The choice of data-based monetization (a useful case). 3. The opportunity to play with the Mixpanel interface."

Average passage time: 1-2 hours.

Why it is important:
Every PM is faced with the task of choosing the appropriate metrics for their product and creating a certain system of working with them. This lesson will cover the entire funnel of working with the user entirely, starting with attracting new users and ending with their monetization.

What it looks like:

• We will look at the most popular metrics for various products.
• You will solve real cases on real data, again, using Mixpanel.

You will learn:

• What are AARRR "pirate metrics" and how to use them.
• How to count LTV and evaluate whether it is good or bad.
• How to work with cohorts, calculate Retention Rate and other metrics in the cohort analysis.

Average passage time: 1-2 hours.

Why it is important
Most of the time, the product manager works with various variations of funnels and conversions. The ability to build and analyze funnels, as well as segment the results to find the truth, is perhaps the main tool for the PM.

What it looks like

• The simulator immerses you in absolutely real situations in which you need to solve cases for optimizing onboarding.
• All cases are solved through Mixpanel. We get real experience by applying new skills.

You will learn:

• How to get insights by comparing different groups of users.
• How to work with funnels and conversions.
• How to analyze insights about funnels and conversions.

What our students say about the lesson:

• Dilara: "Awesome lesson! I especially liked seeing my mistakes: when it doesn't work out, I'm ready to argue, write to Andrey that everything is broken and why don't you specify the date range right away?! :) haha. In fact, through these errors, I am pumped in analytics and mastering Mixpanel. Thank you that everything is not so obvious."
• Ivan: "The simulator with funnels made me sweat. Mega useful!"

Average passage time: 1-2 hours.

Why it is important
Metrics do not exist in isolation. They are interconnected, and sometimes even predict each other's behavior, forming a unified system of metrics. Top products can build such hierarchical systems for their products and understand how they work.

What it looks like:
Again, we solve practical cases: we will analyze the various subtleties of working with metric systems.

You will learn:

• What kinds of metric systems exist.
• How not to drown in thousands of events and dozens of metrics.
• How to see the big picture.
• What is correlation and how it is different from causation.

What our students say about the lesson:

• Inna: "Much of a theory but just in a good manageable size to complete in 1 day. Inspiring and useful!"
• Max: "Thank you for an interesting lesson. Very useful and non-obvious details about metrics."
• Maxim: "It would be cool to get a summary of the suggested articles. I don't have time to read them, but it's very interesting."

Average passage time: 1-2 hours.

Why it is important:
Continuing from the previous lesson, we delve into the topic of building what is known as "metrics trees." This is an extremely important skill for every product manager as it enables you to strategically prioritize development, choose the right metrics, and understand the boundaries of your product's responsibility and your team's.

What it looks like:

• We provide examples of North Star Metrics and metrics trees for top international companies.
• We break down step-by-step how to build these trees and select the right metrics for the business.
• We provide a wealth of additional reference material for further study.

You will learn:

• Which metrics are best to choose as NSMs.
• Why some metrics are more sensitive than others.
• How choosing the right and wrong metrics impacts achieving quarterly goals.

What our students say about the lesson:
→ Svetlana: "The material is easy to grasp since we already covered the basics of NSMs, funnels, and metric hierarchy in previous lessons."
→ Daniel: "They did a really cool presentation of the tree, especially regarding A/B tests (not just typical business tasks). A real thumbs up."

Average passage time: 1-2 hours.

Why it is important:
When you look at the graph, it's very easy to draw the wrong conclusions and fall under one of the cognitive errors. In this lesson, we will talk about how a PM can better interpret data and avoid popular traps in analysis.

What it looks like:

• We analyze examples of real companies, markets, and trends in which it is very easy to fall into a trap.
• We see what the confidence intervals of metrics are and how to calculate them.
• Practical tasks in the simulator, theory, and additional materials are adapted for Product Managers without mathematical education.

You will learn:

• How data sometimes makes us do stupid things.
• Typical errors in data interpretation and incorrect work with trends.

What our students say about the lesson:
→ Julia: "Super that there was a summary at the end and all the useful resources mentioned earlier are provided."
→ Irina: "I liked the convergence of metrics, how to understand that it is impossible to draw an unambiguous conclusion according to the data."
→ Aijamal: "I liked the way analytics can be manipulated the most."
→ Karina: "Cognitive distortion is a very powerful thing! Thanks for the lesson with traps :) And I drew a lot of pleasure from calculations and mentioning of Dopesick."

Average passage time: 1-2 hours.

There is no need to prepare for the course. We give an introductory theory and tasks with a gradual increase in complexity. The simulator teaches the basic understanding of product analytics that a Product Manager needs to build successful products.

In this course, we are looking at a very specific area of knowledge - basic analytics for a PM. This knowledge by itself will not make you a super-specialist, but you will just know one piece of knowledge. It's like building the powerful engine of a car that doesn't have wheels yet: there's nothing to drive on, but at the same time, the engine is waiting in the wings.

Therefore, we recommend that very beginners go through The Fundamentals of Product Management simulator in parallel. There are a lot of basic materials on product management and they are relatively simple. And a specialist who pumps complex necessary disciplines grows much faster than others. They immediately plunge into real tasks without simplification.

If you practice for half an hour or an hour a day, then it will take about 15-20 days. The pleasure can be stretched by thinking over the cases for a long time and reading the additional materials. Meanwhile, the simulator will be here for you.

Well, no: they are generated, but you can't tell them from the real ones!

Highlight business impact: Explain how AI-prototyping knowledge will help you build smarter products that solve real customer problems and drive growth.
Emphasize upskilling ROI: Show that investing in your skills now means faster delivery, better decisions, and fewer costly mistakes down the road.
Connect to company goals: Align the course benefits with your company’s strategy, whether it’s innovation, efficiency, or entering new markets.
Stress team advantage: Point out how your new AI-prototyping skills will uplift your whole team’s expertise and collaboration.
Assure minimal downtime: Reassure your employer the course is hands-on, flexible, and won’t disrupt your current workload.
Simplify payment: Let them know we can issue an invoice if needed, making the process easy for company reimbursement.

Contact Sales

The cases are really real and reflect the diversity of products in the industry: not everyone has a "website" or a "store". In the "Fundamentals" course, we cover the clothes rental start-up; in the "Tech for PM" simulator, we will look at a taxi ordering app (like Uber), a music service (like Spotify), and a food delivery app. In the simulator "A/B testing" we will dive into experiments on the Meditation service, and in "Product Discovery" we will analyze the business of renting clothes.

The more cases you solve (and not just read/watch), the more experienced a product manager you become. There is no other way.

One of the distinctive features of ProductDo is that all our courses are packaged in a simulator format. We can say that this is an important element of our product vision. The simulator as a learning tool has many wonderful properties:
- it requires constant active participation of the student. In order to move forward, you need to choose some action or answer a question every time.
- it allows you to give detailed feedback on any action: You can justify the preferred option with links and examples
- it allows you to move at your own pace and does not burden those who do not really like to work in a group with unnecessary communication.

Usually, they teach like this: theory → practice. If you have mastered the theory well, then you do the practice 100% or so. We have a completely different methodology. We start with a practical task that needs to be solved (and if the course suits you, then you don't know how to do it yet). Only when you have tried to solve the problem, we bring up some theory behind it. We believe that the cycle: trying to think independently → making a decision → feedback on a decision is a very effective way to master new material, especially for those who have already reached some professional level.

If you want to try the simulator format, take a free lesson. It contains questions from different areas of product management. At the same time, you can evaluate which skills you already have enough pumped, and which can be further enhanced.

We help by giving you a bunch of practical tasks and sharing our mistakes and experiences. We have already built so many products that with our examples we can help you formulate your area (more technical or more payment, related to ML / AI, or sales, etc.). We believe that a good PM chooses their favorite product themselves and does not need to be led by the hand.

The entire history of the simulator with comments and answers is saved. Access to the materials remains forever.

Yes, students who have successfully passed the course may generate a certificate and proudly add it to their LinkedIn profile to Licenses & Certifications, or upload it to Facebook in the Schools section.

Yet do keep in mind that upon applying to a product company, certificates do not really increase the chances of being hired, at least in our practice. If a resume mentions a certain course, then this may raise questions about what the candidate really knows right now. Therefore, you need to solve problems and develop skills, and not chase certificates. Fortunately, our courses have enough practice.

You can be sure of the materials' quality and our mentors' experience. We've been teaching for many years, and we have thousands of happy PMs. Feel free to take a look at the student reviews for verification.

If you passed less than 30% of tasks of the simulator you could refund your money in full.