Upon completion of the course, graduates receive a certificate and can count on assistance in finding employment, with the prospect of starting a career as a junior analyst The program includes with a salary of 80,000 rubles.
11. Geekbrains: Analyst from Zero to Junior The program includes
Website: https://gb.ru/geek_university/developer/analyst
The Analytics course from GeekBrains offers a training program covering a wide range of analytical professions,
including Data Scientist, BI analyst, 1C analyst, marketing mali business email list analyst, project manager and product manager. Students
will master key tools and technologies such as Excel, Python, SQL, Power BI, Tableau, as well as specific skills for each
specialization. The program includes practical projects, such as creating credit risk management models, analyzing
order and customer data, developing dashboards and integrating analytical systems.
The course is taught by experienced specialists from large companies, and upon completion of the training, graduates receive support in employment and a certificate of completion of the course.
How long does it take to study to become a data analyst? The program includes
Training to become a data analyst can take from 3 months to several years, depending on the level of training and the
format of training. Intensive courses and refresher programs for beginners usually last 3-6 months and provide basic
skills in working with data, programming languages, and offer change only one thing at a analytical tools. If we are talking about university education,
obtaining a bachelor’s or master’s degree in a related specialty (mathematics, statistics, computer science) can take 3-5
years. Short courses are enough for a successful start , but constant development and training are an important
part of the profession.
Do you need any prior knowledge to study to become a data analyst? The program includes
Prior knowledge is not always required to study to become a data analyst, especially in introductory or foundational courses. Many training programs are list provider aimed at beginners and start with the basics of statistics, mathematics, and working with data. However, basic skills in Excel, mathematics, logical thinking, and basic programming are a big plus. More advanced programs may require knowledge of Python, SQL, or basic machine learning, but these topics are often taught from scratch.
