TOP Machine learning courses for beginners from scratch

Bachelor's program in Data Analytics and Machine Learning. Become a sought-after IT specialist, get a diploma from a state university and change the world with the help of high technology. Study full-time and part-time online: listen to lectures and complete the session without leaving home. At the end of the training you will receive a state-issued bachelor's degree from RANEPA.

This course provides an overview of modern data storage techniques, including key-value stores, document-oriented and streaming database management systems, distributed storage systems and data processing.

A practical online course where you will master the profession of a data analyst from scratch in 6 months at your own pace. You will develop all the necessary analyst skills, learn to work with Python, SQL, Excel, Power BI and become an up-to-date IT specialist.

Professional retraining. Working with data. Study of databases and SQL language, Python language, its application for data collection, visualization and analysis, statistics and machine learning, as well as approaches for working on real-world problems.

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

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.

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.

This course will introduce you to artificial intelligence and machine learning in Python. We will tell you everything in order: we will dive into the basics of mathematics for Data Science and libraries for work with data, we will analyze algorithms and methods for creating AI models, and then move on to practice - there will be a lot of.

In one year, prepare to work as an ML engineer: get the necessary mathematical training, master Python, learn how to work with data, and create your first machine learning models.

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.

4,2

7 reviews