Full course on Data Science - course 143,640 rubles. from SkillFactory, training 13 months, Date August 13, 2023.

Pros: Need to practice! Disadvantages: You have to study! I have been working in IT for a very long time and in different ways. Currently I am developing, integrating and maintaining web services with high/continuous access cycles. A lot of scattered information and skills have accumulated, preferences have finally been determined, and therefore there is a need to go through some of these same skills...

Thanks to the guys from Skillfactory for the cool expert course on DataSign! A month after completing the course, I passed a job interview at a prestigious IT company. I mark it as a big PLUS -The authors of the course are excellent in presenting the material, they explain it clearly -Variability of the type of materials Yes videos up to 15 minutes, presentations, practical tasks and most importantly homework, they are interesting and very friendly. N...

I wanted to change my profession and took a data science course. The training seemed very easy at first, but then it became more difficult. You can study while working; on average, you spend 8 hours per week on a topic. The presentation of information is very clear (video, theoretical part and practice). It’s interesting to study, I recommend it to anyone who would like to change their profession and change their life!!!

Hi all! I am studying at Skillfactory with a degree in Data Science. In my opinion, the information on the course is enough to acquire new knowledge, there are many additional links, literature, etc. I was impressed by the webinars that are available in any moment and with the help of which you can thoroughly consolidate the information after completing the training modules, and there is also a choice of a webinar with a speaker, who...

Advantages: Price Clarity Time frame. Disadvantages: Lack of a grandfather line Lack of a constant training regime I purchased a course using data science, which impressed me as an extremely detailed and clear training program, with clear modules and user-friendly system. A convenient group in Slack, where you can observe other people’s questions and ask them yourself; mentors answer everything.

Master the Kotlin programming language - learn to use the integrated development environment and create object-oriented applications.

Master Data Science from scratch. Try your hand at data analytics, machine learning, data engineering and decide which direction you like best. In a year you will be able to work as a Junior specialist, and in two years you will become a Middle level professional. Working with data is a process in which each team member performs his own task. An analyst helps make business decisions, an ML engineer trains models, and a Data engineer makes sure everything works. Regardless of the role, everyone programs in Python, understands mathematics, statistics and speaks the language of data. Therefore, sometimes such specialists are simply called Data Scientists.

The purpose of this course is to introduce students to the theory and practice of deep learning and neural networks in an interactive format. During the course you will be offered several practical tasks. The last assignment is the final practical project. Based on the results of the course, a certificate of completion will be issued, which provides benefits for admission to bachelor's and master's programs at the Faculty of Faculty of Physics and Technology of the Moscow Institute of Physics and Technology.