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Perfect for newbies
90%
of our students start with no technical background
Course updated in 2026
100%
industry-relevant curriculum built to meet employer expectations
6 000+ employed Mate academy grads
rating based on Google reviews
$1,100
+22%YoY salary growth. Source: DOU
Every time a team wants to understand how product users behave, a Product analyst dives into the data: writing SQL queries, calculating metrics, building funnels, and finding insights that show what to improve. They turn raw numbers into decisions that help the product grow. Impressive, right?
*You can buy English lessons separately.
FORMAT COMPARISON
Weekdays, 9 am - 6 pm
In your free time

Product Analyst








90%
of Mate grads entered the tech field for the first time
By the end of the course, you’ll have real projects that demonstrate your expertise to employers.

What's covered
Product Analyst Basics
3 topics
Get introduced to the Product Analyst role, its impact on product teams, and the modern analytics toolkit. Learn how analysts drive product decisions and leverage AI in their daily work.
Topics
Get Started
3 topics
Learn how studying at Mate academy is organized: how the platform works, how interaction with mentors is structured, what the program includes, and get tips on how to study effectively and manage your time.
Topics
GenAI Essentials
6 topics
Learn how to use GenAI responsibly and effectively.
Topics
Google Sheets
13 topics
In this module, you'll work with spreadsheets that are used to calculate, organize, analyze, and store data. You will learn how to process datasets, perform calculations using functions, and build pivot tables. You will also be able to visualize results in the form of graphs and charts.
Topics
SQL Basics
11 topics
Semantically speaking, SQL closely resembles English, so you are in for a swift acquisition. We'll learn to use it with databases, to group, filter, sort and source data at wish.
Topics
SQL for Product Analytics
5 topics
You'll learn to write advanced SQL queries using window functions and optimize them — applying these skills right away on a real-world e-commerce product case with the help of AI.
Topics
Product Metrics & User Behavior
9 topics
You'll learn to measure product health through key metrics — from funnels and cohorts to the North Star — and diagnose real shifts in user behaviour through hands-on cases.
Topics
Python Basics
10 topics
Contrary to its name, there's nothing to be scared of, so let's approach Python head on. We'll start with strings, booleans, function, conditionals, loops and lists.
Topics
Communication and Stress Management
7 topics
This module is designed to enhance your communication skills and overall soft skills. You’ll learn how to communicate effectively, feel confident during job interviews and public speaking, master techniques to manage stress, and much more. The best part? The module includes 28 practical tasks that will significantly boost your skills and help you see noticeable progress.
Topics
Team Project
7 topics
In 4 weeks, you will create a product from scratch in teams with colleagues from other areas, following Scrum methodology, and present the results to your mates. In the end, you will have another project to add to your resume and gain invaluable real-world experience.
Topics
Employment
9 topics
Ready to enter the tech market? Well... we'll get you ready — with a great resume, cover letter, a LinkedIn profile and mock interviews. Recruiters are in for a true discovery!
Topics
83
Topics
3
Projects
From zero to hired
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Skill level after the course
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Faq
In the full-time schedule, you study online from 9 AM to 6 PM, Monday to Friday. You’ll attend webinars, do practical tasks, and get help from mentors. There are group video calls four times a week in the afternoon. This intense schedule is not good if you want to work at the same time.
The flexible schedule lets you learn at your own pace. You decide when and how many hours to study. Mentors are available to help you, and you can chat and join video calls with classmates. Plus, you get lifetime access to the course, so you can learn whenever you want.
In the flexible format, you can balance your studies with work or school. You set your own pace and receive support from our mentors throughout the course.
In the full-time format, it’s hard to combine studies with work or school due to its intensity. You’ll need to fully commit, studying from 9 am to 6 pm, Monday to Friday.
Sure! After finishing our course, you'll get a certificate. More than 5000 of our graduates use it to show their skills on LinkedIn and other social media. But our main focus is helping you find a job, and we'll do everything we can to support you in that.
No, you don’t need math or a technical background to enroll. In fact, 9 out of 10 Mate students come from non-technical backgrounds. Our job is to teach you the skills you need and help you land a job in tech.
To enroll in the full-time course, start by filling out an application and taking a short logic test with 15 questions. If your English level is below Pre-intermediate, we'll ask you to make a short video about yourself. Once we check that your English is good enough for learning, you can move on with your enrollment and set up an interview with our manager.
For the flexible course, just send an application. Our manager will reach out to explain the course details and help you pick the best option. You’ll get access to the course right after you pay.
You can apply for the full-time course starting at age 16 with your parents' permission. For the flexible course, you can begin if you’re at least 15 years old.
The employment guarantee applies if you reach the legal working age in your country by the time you finish the course.
For over 10 years, we’ve been helping people kickstart their tech careers — and we’ve gotten pretty good at it.
Our courses are built around what companies actually want, with tons of hands-on practice to get you job-ready. And you’re never on your own — we’ll guide you every step of the way, from polishing your resume to nailing your interviews.
The best part? 80% of our grads land a tech job just a few months after finishing the course.
For full-time graduates, you only start paying for your education after finding a tech job. The payment is 12% of your net salary for 36 months. If you don’t get a job, you pay nothing.
If you finish the flexible course, actively search for a job with our support for 16 weeks, and don't receive any offers, you can get a full refund.
The full-time schedule combines theory lessons, practice, and Q&A sessions:
9:00 AM - 10:00 AM — Algorithms 10:00 AM - 11:30 AM — Theory 11:30 AM - 12:30 PM — Break 12:30 PM - 2:00 PM — Practice 2:00 PM - 2:30 PM — Q&A session 2:30 PM - 5:00 PM — Practice 5:00 PM - 6:00 PM — Q&A session
Graduates of the “Product analyst” course most often start their careers as a Junior Product analyst, Product analyst, Data Analyst, or Marketing Analyst, where they gain their first hands-on experience with data, SQL, and product metrics. Over time, product analysts move into more senior roles such as Senior Product analyst or Lead Analyst, or grow toward Product Manager and Data Science.
Our “Product analyst” course includes clearly structured modules that help you master practical product analytics skills. You’ll learn to write SQL queries, use analytical (window) functions, calculate product metrics, build conversion funnels, and analyze cohorts and retention. During the training, you’ll build dashboards in Tableau, calculate unit economics (LTV, CAC, ROI) in Google Sheets, process data with Python (pandas, numpy), and run A/B tests for data-driven decisions.
The “Product analyst” course provides a structured learning path that lets you master key product analytics skills step by step without confusion or gaps. You’ll get feedback from experienced practitioner-mentors and work on real datasets instead of abstract theory. Our course also includes interaction with other students through chats and video calls, where you can exchange experience and motivate each other.
To become a product analyst from scratch, start with the fundamentals: working with databases and SQL, calculating product metrics, and building funnels. As you progress, you’ll learn to analyze cohorts and retention, build dashboards in Tableau, calculate unit economics (LTV, CAC, ROI), process data with Python, and run A/B tests. Our course is designed to take you from basic concepts to real product analytics tasks: you’ll work on practical cases and build a portfolio of 2 projects, with mentor support and a community of peers.
To take the online “Product analyst” course, you’ll need a computer or laptop with solid performance. An Intel Core i5 processor or higher, at least 8 GB of RAM, an SSD, and a stable internet connection are sufficient.

High demand in product and IT companies: a product analyst is a key role, because a Product analyst turns user data into decisions that help the product grow. Strong earning potential: even at the start, a product analyst role offers solid income, and with experience in SQL, metrics, and A/B testing, salaries grow significantly. Flexible work formats: the profession fits both office-based and remote work, letting you collaborate with local and international companies at the same time. Data-driven decisions: a product analyst calculates metrics, builds funnels and cohorts, and runs A/B tests, so every decision is based on numbers, not intuition. Versatile tools: a Product analyst works with SQL, Tableau, Python, and Google Sheets — skills valued in e-commerce, fintech, IT, and mobile apps.
Product analytics training opens pathways to roles like Junior Product analyst, Product analyst, Data Analyst, or Marketing Analyst, eventually leading to positions such as Senior Product analyst or Product Manager. A product analyst’s career grows through real projects, confident work with SQL, metrics, and data visualization — and with that growth come higher salaries and greater responsibility. Demand for product analysts is strong in IT, fintech, e-commerce, gamedev, and mobile apps, where companies make data-driven decisions.
Beginners with no experience: if you’re just starting, product analytics training helps you build the fundamentals — from SQL queries to calculating product metrics. Analysts from related fields: already working with data but want to systematically master product analytics, funnels, and A/B tests? This training structures your skills. Marketers and entrepreneurs: want to understand unit economics, LTV, and CAC and make data-driven decisions? A Product Analytics course gives you practical tools. Graduates in tech or economics: you have a foundation — now turn it into practical product analytics skills valued in IT.
You take the “Product analyst” course in a flexible Flex format — at your own pace, combining study with work. The structure is the same: about 20% theory with clear, structured lessons, and 80% practical work on real cases, briefs, and creatives. After each assignment, you’ll get personal feedback from a mentor and review your mistakes to improve. You’ll also be able to interact with classmates via chat or video calls.