Python libraries for Data Science - course 4000 rub. from Stepik, training 18 lessons, Date October 29, 2023.
Miscellaneous / / November 29, 2023
Stepik is an educational platform and online course designer.
We develop adaptive learning algorithms, collaborate with MOOC authors, and help conduct competitions and retraining programs.
Our goal is to make education open and convenient.
Stepik is a well-known Russian educational platform founded in 2013. More than a million users from Russia and the CIS countries are registered on Stepik. Currently, Stepik offers several thousand training courses on a variety of topics.
The Stepik platform includes a designer of free activities and lessons. Any registered user can create an interactive training course. At the same time, the authors of educational materials retain copyright. The service has no restrictions on the number of students per course.
Stepik has extensive capabilities for creating online courses, training sessions and lessons using texts, videos, pictures, test tasks, during which you can have discussions with other students, as well as with teacher. In total, Stepik contains 20 types of tasks, the verification of which can be carried out both automatically and manually.
A big advantage of this platform is the ability to embed created materials on third-party sites, for example, Moodle and Canvas.
In addition, Stepik can be used as a venue for various events, such as Olympiads and competitions.
The platform interface is completely Russian-language, quite friendly and intuitive. The platform is completely free.
For each course completed at Stepik, the student receives a certificate of completion. Obtaining a certificate is also free.
A practical course that will help you develop algorithmic thinking and improve the performance of your programs
Online master's degree in cooperation with Savings Education. Master the main tasks of a data scientist - data processing and analysis, training neural networks, creating new products and building mechanisms for optimizing business processes.
This course is for those who want to get into Data Science, but don’t know where to start. In the first six months, you will try your hand at machine learning, data analytics and data engineering. You will write your first analytical models and solidify the foundations on problems with real data. Then master the specialization and add 2 final projects to your portfolio.