TOP Data Science Courses in Python

It's difficult here, but interesting. The study takes 8 months. A lot of theory, even more practice, people and methodology - everything is aimed at ensuring that you master the profession of a Data Science specialist.

4,6

23 review

Let us help you build a career in Data Science from scratch. You will learn to solve problems in the field of medicine: process data on cardiovascular diseases, oncology, EEG signals, X-ray images. All this using neural networks and machine learning.

4,6

1 review

🏆Winner of Stepik Awards 2022 in the category “Breakthrough of the Year”🏆 Practical video course on the basics of data science. No mathematics, no theory, only examples of solving real problems using pandas and CatBoost. An introductory part of the course on python and pandas for data analysis is available for free!🔥

Immerse yourself in the field of Data Science and build a career as a data engineer. The online master's program "Data Engineering" prepares in-demand and highly paid specialists to work in teams of developers and analysts in a wide variety of areas: IT, banking, marketing, online retail, industry, telecom

To be a great specialist in Machine Learning, it is not enough to simply understand the principles of operation of classical models. You need to be a generalist and understand exactly how everything works, and this will require mathematics.

You will learn an in-demand profession from scratch and help businesses make data-driven decisions. Learn to work with BI tools, use Python, SQL and add 3 projects to your portfolio. In a year you will be able to start working as a Junior analyst, at the same time continue taking the course and grow to the Middle level.

4,4

2 review

The course provides access to a basic set of knowledge of probability theory, mathematical statistics and the mathematical basis of algorithms for solving machine learning problems. Also provides practical skills in data analysis and creating machine learning models in the Python programming language.

Biologically Inspired Cognitive Architectures (BICA) – This is a promising, actively developing direction at the intersection of artificial intelligence, biology and cognitive Sci. One evidence of this is the increased number of scientific publications, including special editions, as well as conferences and funded programs, one way or another related to this area.

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. The basic stream is intended for those who are taking their first steps in Data Science. A significant part of the course is devoted to the Python language, data analysis libraries and mathematics for Data Science. in the second half we will talk about the general theory of neural networks, as well as about neural networks in computer vision