A data analyst collects, processes, and interprets large amounts of information to identify patterns and make
informed decisions. They use a variety of tools and programming languages, such as SQL , Python , R, and specialized
data analytics and visualization platforms, such as Graduates of the course Power BI and Tableau. The analyst’s primary job is to turn raw data
into understandable reports and models that help businesses or organizations optimize processes and improve results.
Here you will find the best training programs where you can study to become a data analyst and start your career. Most of the schools in the selection offer help or guarantee in finding a job, so their courses are suitable for beginners.
Where to study data analytics in 2025
1. Skillfactory: Data Analytics Graduates of the course
Website: https://skillfactory.ru/data-analyst-pro
The course “Data Analyst from Scratch” from SkillFactory offers comprehensive training for those who want to master
the profession of data analyst. Students study Python, SQL, mathematical statistics, machine learning and data
visualization. The program includes work with real projects and cases, which allows you to gain practical experience in
data analysis and creating dashboards. Course participants master tools such as Tableau and Power BI, learn how to
conduct A/B testing and work with large volumes of information.
Upon completion of their training, graduates are able to independently perform analytical tasks, from collecting and processing data to building predictive models and presenting analysis results.
2. Productstar: Profession Analyst Graduates of the course
Website: https://new.productstar.ru/analytics-prof
The Analyst course from ProductStar offers 10 months of training for the profession of data analyst from scratch. The
program covers a wide range of topics: from the basic principles of analytics and working with tools like SQL, Python
and Google Sheets to advanced skills in machine learning, A/B testing and data visualization. Students study product
and web analytics, mathematical statistics, unit economics, and also master specialized tools such as Tableau, Power BI
and ChatGPT for analytics.
The course includes practical projects based on real business cases, which allows you to create a portfolio.
Upon completion of their studies, graduates can choose one of four specializations: Data Scientist, Marketing Analyst, Business Analyst or Systems Analyst.
3. Skillfactory: Complete Data Analysis Course Graduates of the course
Website: https://skillfactory.ru/data-analytics
Graduates of the course receive enough knowledge to mayotte business email list start a career as a junior data analyst or BI analyst, which is confirmed by the successful employment stories of graduates.
4. Skillbox: Data Analyst Profession Graduates of the course
Website: https://skillbox.ru/course/profession-data-analyst/
The Data Analytics course from Skillbox provides 12 months of training, where students master fundamental and
advanced data skills. The program covers Python, SQL, Excel and Power BI, statistics and probability theory, as well as
the mathematical foundations for working with up for poptin create stunning popups without machine learning. Students gain practical experience in product,
marketing and BI analytics, learn to conduct A/B tests, create analytical reports and interactive dashboards.
The program includes work on real projects, such as analyzing insurance company data, researching the sales funnel of
an online cinema, and analyzing changes in mobile applications.
5. Skillbox: Data Analyst from Scratch Graduates of the course
Website: https://skillbox.ru/course/data-analyst/
The course “Data Analyst from Scratch” covers a full range of skills for working with data: from basic work in Excel and Google Sheets to programming in Python with NumPy list provider and Pandas libraries. Students master SQL for database management, learn to create dashboards in Power BI and work with the Yandex.Metrica and Google Analytics analytics systems. The program includes 45 hours of theory and 22 practical assignments, where students analyze real business cases, conduct A/B testing and create analytical reports.
