Mathematics for Data Science - free course from Skillbox, training, Date: November 29, 2023.
Miscellaneous / / December 03, 2023
Russian Internet company in the field of online education, founded in 2016. The controlling stake in Skilbox LLC belongs to VK. The company is considered the leader in the Russian professional online training market. It is also a leader in training for jobs related to the digital economy and online advertising.
Skillbox is a Russian company that specializes in online education. Skillbox calls itself an online university for in-demand skills.
The educational programs of the service are focused on four main areas:
- design;
- programming;
- marketing;
- control.
On the platform you can gain knowledge on current topics and in-demand skills. All courses are aimed at practice: we monitor the relevance of the material and help with employment and internships.
The Skillbox educational platform was launched in 2016. The company was founded by Igor Koropov (1989-2020) and Dmitry Krutov. Later they were joined by Andrey Anishchenko and Sergey Popkov. The general director of the company since its founding has been Dmitry Krutov. Skillbox received the Runet Prize twice: in 2018 in the Education and Personnel category, and in 2019 in the Technology and Innovation category.
In February 2019 Mail. Ru Group acquired 3% of the company, then increased the stake to 10.33% in March, and finally to 60.33% in December of the same year. According to the Mail's annual report. Ru Group, a controlling stake in the company cost it 1.6 billion rubles.
In November 2019, RBC included the company in the rating of the 35 largest EdTech companies in Russia, placing Skillbox in 6th place. In 2020, in the ranking of the top 10 largest EdTech companies compiled by RBC, Skillbox moved to 2nd place.
In October 2020 Mail. Ru Group increased its stake in the company to 70%. In November 2020, the co-founder of the platform, Igor Koropov, died in Sochi.
Goal of the course: to master the main sections of probability theory and mathematical statistics necessary for successful application in the field of Data Science. The course is recommended for beginners in the field of Data Science. Upon completion of the course, you will be able to use the acquired knowledge in probability theory and mathematical statistics to start in this field.
For those who have experience in IT, but do not have a strong mathematical foundation, an alternative track will help them gain the missing knowledge in mathematics and join one of the other four areas.
Master the most in-demand Data Science profession from scratch. You will receive all the necessary skills in programming, mathematics, and machine learning for a quick start in the profession while still studying.