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Data analyst сourse: from zero to hired
Data analyst сourse from zero to hired
Perfect for newbies
90%
of our students start with no technical background
Course updated in 2025
100%
industry-relevant curriculum built to meet employer expectations
4,500+ employed Mate academy grads
rating based on Google reviews
Data analyst: Salary
10 000 zł
+22%Increase in remuneration r/y. Source: Nofluffjobs
Did you know?
Data Analysts use tools like SQL and Python to help companies make data-driven decisions. From updating pricing to launching features. The 2025 Future of Jobs Report says Data Analysts are among the fastest-growing jobs in the world. Now is a great time to join this booming field.
Employment in focus
We share the same goal — get you hired. With 20% theory and 80% practical tasks, we make it happen.
Market experts as your mentors
Mentors help you learn new topics, review your tasks, point out mistakes, and do live Q&A sessions.
Platform that has it all
Learn through tutorials, interactive tasks, AI quizzes, and group projects — all in one place.
Your perks in every course
Job referrals
Get access to job openings from our partners before they hit the market.
English lessons
Gain skills to pass interviews and bond with your team.
Job search tips
Craft cover letters and resumes that land interviews.
AI skills module
Learn to talk to AI —and get better, more helpful answers.
Mock interviews
Practice for real-world interviews and build your confidence.
This might be your CV
Marta K.
Data analyst
Skills
- Proficient in analyzing competitors and industry trends
- Experience researching data and user behavior patterns
- Skilled in creating and structuring data visualizations
- Ability to build and present dashboards and reports to stakeholders
- Knowledgeable in designing and implementing data workflows
- Capable of adapting data visualizations for different platforms
- Strong understanding of assessing data insights for specific audiences
- Experienced in using data metrics to inform business decisions
Technologies
90%
of Mate grads entered the tech field for the first time
What's covered
Course roadmap
Analiza danych – podstawy
5 topic
Generatywna SI – podstawy
6 topic
Learn how to use GenAI responsibly and effectively.
Topics
- Zasada działania generatywnej SI
- Ograniczenia generatywnej SI
- Prompting
- Jak odpowiedzialnie korzystać z SI
- Generatywna SI w pracy i nauce
- Jak nadążyć za SI
Podstawy SQL
11 topic
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
- Wprowadzenie do SQL
- Klauzula SELECT
- Klauzula WHERE
- Wartość NULL i klauzule: LIKE, BETWEEN oraz IN
- Klauzula ORDER BY, LIMIT i DISTINCT
- Aliasy
- Funkcje agregujące
- Klauzula GROUP BY
- Klauzula JOIN
- Funkcje
- Klauzula HAVING
SQL Advanced
13 topic
To work as a data analyst, you need in-depth knowledge of SQL. In this module, you will analyze sales and marketing indicators using a real database that contains data from an online store.
Topics
- Relacyjne bazy danych
- Pierwsze kroki z Google BigQuery
- CASE WHEN
- UNION
- Podzapytania
- Funkcja tekstowa
- Funkcje DATETIME
- Funkcje okna
- Common Table Expressions – wspólne wyrażenia tablicowe
- Dodatkowe encje w SQL
- Pola zagnieżdżone
- Optymalizacja zapytań
- SQL i dodatkowe narzędzia
Google Sheets w analizie danych
13 topic
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
- Arkusz kalkulacyjny - podstawowe narzędzie analityczne
- Importowanie danych
- Podstawowe typy danych
- Podstawowe formuły i wbudowane funkcje
- Typy odwołań do komórek
- Czyszczenie danych
- Przetwarzanie tekstu
- Praca z zakresami
- Relacje między tabelami
- Tabele przestawne
- Wizualizacja danych
- Eksportowanie i udostępnianie danych
- Google Sheets – podsumowanie
Tableau
10 topic
Tableau is an entire ecosystem of interactive analytics. In this module, you'll learn how to connect data and create combined data sources, make complex visualizations, publish and update dashboards. You will also learn how to use Tableau Prep to prepare data, and Tableau Public and Tableau Online to share your work.
Topics
- Introduction
- Tableau Vocabulary
- Session Dashboard
- Sales Dashboard
- Email Dashboard
- Tableau Public Server Overview
- Tableau Desktop
- Tableau Online
- Tableau Prep
- Summary
Podstawy Pythona
10 topic
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
- Wprowadzenie
- Podstawowe pojęcia
- Liczby
- Ciągi
- Wartości logiczne
- Listy
- Operatory warunkowe
- Pętle
- Funkcje
- Podsumowanie
Python w analizie danych
7 topic
Python is an extremely powerful tool for data analysis. You've already learned the basics, so we'll move on to introduce you to the NumPy and Pandas libraries for data processing and analysis. You'll also learn how to visualize your results with Matplotlib and Seaborn, and work with interactive environments like Jupyter Notebooks and Google Colab to perform and document your analytical tasks.
Topics
- Konfiguracja środowiska do analizy danych
- Biblioteka NumPy
- Biblioteka Pandas – część 1
- Biblioteka Pandas – część 2
- Wizualizacja danych za pomocą Matplotlib i Seaborn
- Eksploracyjna analiza danych
- Połączenie z bazą danych
Statystyka
6 topic
Statistics is a not an easy topic, but did our best to collect only the information that you will need to perform the real work tasks of a data analyst. In this module, you will learn the basics of statistics, including its role in business and everyday life. You will work on analyzing relationships between data, testing hypotheses, and you will learn to design of statistical experiments.
Topics
- Introduction to Statistics
- Descriptive Statistics
- Sampling: Approaches and Methods
- Statistical Hypotheses
- Relationship of Random Variables
- Design of Statistical Experiments
Testowanie A/B produktu
6 topic
Let's start to develop product thinking. In this module, you'll learn approaches to hypothesis evaluation, such as A/B tests. You'll learn how to build product hypotheses, design A/B tests, choose metrics for conducting them, and analyze the results.
Topics
- A/B Testing Introduction
- Planning A/B Testing
- Data Collection and Analysis
- Creation of A/B Testing Tool
- Cases Analysis
- Advanced Tools and Approaches
Tworzenie portfolio
2 topic
We will create unique portfolio projects and place them on shared resources to demonstrate your skills to potential employers. We will also analyze the vacancies you can apply to upon course completion.
Topics
- Portfolio
- Vacancies Overview
Zdobywanie pracy
8 topic
courses.empl-pl_about_course
Topics
- Mapa zatrudnienia
- Przygotowanie CV
- Przygotowanie do rozmowy kwalifikacyjnej
- Przygotowanie listu motywacyjnego
- Google, LinkedIn
- Jak znaleźć i aplikować na oferty pracy
- Komunikacja podczas poszukiwania pracy
- Zatrudnienie – najczęściej zadawane pytania
97
Topics
3
Projects
From zero to hired
What’s your path to becoming a Data analyst?
Land your job in tech
Start your new job as a Data analyst.
Get in touch
Do I need a technical background? When can I start?
- We'll answer all your questions
- Help you choose the right course
- Get you in on our best deals
Skill level after the course
Mate graduates ace technical interviews
Who will guide you?
Coaches
Mentors
English Teachers
Education coordinators
Employment coordinators
Get in touch
Let's get in touch
- We'll answer all your questions
- Help you choose the right course
- Get you in on our best deals
Faq
Got questions? We’ve got answers
How will I study?
Learning is self-paced – you decide when and how many hours you want to dedicate to your studies. Our mentors will evaluate your work and answer your questions. You'll connect with classmates via chat and group video calls. Additionally, you'll receive lifetime access to the course, giving you the freedom to learn on your own terms.
Can I fit studying at Mate with other activities?
Yes, you can! Our courses are designed to let participants learn at their own pace, with continuous mentor support throughout the program.
Will I get a certificate upon completion?
Sure! After finishing our course, you'll get a certificate. More than 4,500 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.
How do I choose a profession?
Do I need math or tech background to enroll?
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.
How do I enroll?
To start learning at Mate academy, simply apply, and our representative will get in touch with you shortly to provide more details. You’ll gain access to the course as soon as the payment is completed.
Are there any age limits for this course?
Our courses are open to people of all ages. However, our job guarantee applies only to those who are of working age according to their country’s laws at the time of course completion.
How are you so sure that l'll find a job?
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.
How does money-back guarantee work?
If you pay for and complete the course, actively search for a job with our support for 16 weeks, and still don’t receive any job offers, we’ll refund your money.
What jobs can I get after finishing the course?
Graduates of the Data analytics course most often get their first job in the following positions: Junior data analyst, Product analyst, Business analyst, Junior Data Scientist, BI analyst, Marketing analyst.