A data analyst helps businesses make decisions based on data. It helps the company understand the demand for their products and make strategic decisions to increase sales and meet customer needs.
We have a single goal: to get you employed. That's why 80% of the course is devoted to practice.
Mentors support you in learning new topics, review assignments, suggest how to correct mistakes.
Your peers work for many international companies. They'll be your global industry network.
2-4 lessons per week for full-time students, and as a payable option for flexible students.
Courier
Barista
Mechanic
Our course program covers everything the employers expect from junior data analyst
For full-time, you pay nothing for 5 months. After finding a job, you'll pay 12% of your salary monthly for 3 years (36 payments). For flex, it's crucial to complete 100% of the course. If, after that, we actively search for a job for 16 weeks without any offers, you can get a refund.
Our platform offers an up-to-date database of local and global vacancies. You can apply for jobs and track your progress right from there.
Practice makes perfect, so we regularly hold mock interviews to prepare you for the real thing. You'll leave with a great impression.
We'll help you get noticed by crafting resumes, cover letters, and professional social media profiles that attract recruiters.
Mate's coordinators help you review job offers and set salary expectations based on what’s happening in the market.
Employers often contact us directly when they're seeking junior candidates, sometimes even before their job openings are public.
Full-time students pay after landing an IT job, while flex students might get a refund if they don't secure a job under specific conditions.
Your progress will skyrocket with our career support!
In this module, you will learn the basics of data analytics, namely, how to build visualizations. Using the Tableau service, you will create your first analytical dashboard.
Data Analytics Basics
See how you like it!
Video lessons and theory
Interactive tasks
Online student community
We believe everyone has the right to a world-class education, so they can develop their talents and get a dream job no matter the odds.
Founder of Mate academy, former software developer at Google
12 modules
66 topics
3 months
In this module, you will learn the basics of data analytics, namely, how to build visualizations. Using the Tableau service, you will create your first analytical dashboard.
Module topics
Introduction
Netflix Cinematic Map
Calculated Fields
Creating Dashboard
Summary
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.
Module topics
Spreadsheet — the Basic Tool for Analytics
Data Importing
Basic Data Types
Formulas and Built-In Functions
Cell Reference Types
Data Cleaning
Text Processing
Working with Ranges
Table Relationships
Pivot Tables
Data Visualization
Data Exporting and Sharing
Google Sheets Summary
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.
Module topics
Introduction to SQL
SELECT Statement
WHERE Statement
NULL Value, LIKE, BETWEEN, and IN Statements
ORDER BY, LIMIT, DISTINCT
Aliases
Aggregate Functions
GROUP BY Statement
JOIN Statement
Functions
HAVING Statement
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.
Module topics
SQL and Additional Tools
Query Optimization
Nested Fields
Additional Entities in SQL
Common Table Expressions
Window Functions
Datetime Functions
String Functions
Subquery
UNION
CASE WHEN
Getting Started with Google BigQuery
Relational Databases
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.
Module topics
Introduction
Main Concepts
Numbers
Strings
Boolean
Lists
Conditional Operators
Loops
Functions
Summary
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.
Module topics
Environmental Setup
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.
In this module, you will learn the basics of data analytics, namely, how to build visualizations. Using the Tableau service, you will create your first analytical dashboard.
Data Analytics Basics
See how you like it!
Video lessons and theory
Interactive tasks
Online student community
...and over 700 more!
Share your contact info, and our career consultant will help you out.
Let’s take you from zero to pro in coding!
Sure! 9 out of 10 Mate students don't have a technical background. Our main goal is to teach you the basics and help you get a job in IT.
Full-time courses are completely free until you get a job. You'll study from 9:00 AM to 6:00 PM, Monday through Friday. After that, you'll pay a percentage of your salary according to the agreement. Flexible courses have fixed prices. The program is the same, but you can complete it at your own pace. The flexible format also includes an employment guarantee.
For full-time study, you need to go through the following selection process: 1. Sign up and complete an entrance test. 2. Pass an online interview where we’ll ask about your experience and expectations for the course. We will also check your English, which should be at a Pre-Intermediate+ level. 3. Finally, we will sign the agreement. For flexible study, you'll share your experience and expectations for the course with our manager during an online call. After payment, you can start learning immediately.
For the full-time course, we select the best candidates every 10 days. If a group is filled several weeks before the start date, we recommend applying as soon as possible to secure your spot. On average, new groups start every 2-3 months. For the flexible course, you can join whenever.
You can apply in the full-time course from the age of 16 with parental consent. However, due to its intensity, it won't be possible to combine the full-time course with work or other studies. For the flexible course, you can start if you are at least 15 years old. The employment guarantee applies if you reach the legal working age in your country by the end of the course.
We have no age restrictions. The IT field is one of the most inclusive industries. It might be challenging, but we believe you can find your first job in IT.
For the full-time course, classes are held from 9 AM to 6 PM, Monday to Friday, online (you can check the detailed schedule in the course plan). You'll watch webinars and complete practical tasks. Our mentors will answer your questions and provide feedback in writing or during video calls during working hours, Monday to Friday. Group video calls happen 4 times a week in the afternoon. You can communicate with your classmates in group chats 24/7. Due to its intensity, it won't be possible to combine the full-time course with other studies or work. For the flexible course, you can study at your own pace. You'll watch video lessons, complete various practical tasks, and ask questions in the chat. You can also communicate with your classmates 24/7. Mentors will provide feedback and answer your questions from 9 AM to 6 PM, Monday to Friday. You can also ask questions during group video calls.
Yes, after completing our course, you will receive a certificate. Over 3,500 of our graduates use these certificates to showcase their skills on LinkedIn and other social networks. However, our main goal is to help you get a job, and we will do everything possible to achieve that.
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.
Our shared goal is getting your first job in IT. If you don't receive a job offer in IT after the full-time course, you won't need to pay anything. For the flexible course, you must complete 100% of the course and actively search for a job with our team for 16 weeks. If you still can't find a job in IT after that, you'll be eligible for a refund.