In one year, prepare yourself 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.

What you will learn

Think analytically
Learn how to independently develop a plan to solve a problem, put forward and test hypotheses, interpret the results and present them to management.

Work with data analysis tools
Learn how to conduct exploratory data analysis and master Excel for analytics. Learn how to visualize data in Power BI and program in Python and SQL.

Build ML models
Master supervised and unsupervised machine learning algorithms. Learn how to solve regression, classification and clustering problems. Build your first models.

Extract data from various sources
Understand how to read data in various formats using Python and SQL. Learn how to write API requests, receive, clean and save data in different formats.

Configure infrastructure
Get acquainted with model pipelines: from data collection to results monitoring.

Work in Git
Create repositories and track changes in code, prepare for teamwork on a project.