Introduction to Data Science
Description: The course provides an opportunity to get acquainted with the subject area of data science and develops skills in solving problems of data processing and visualization using the Python language. The course covers the basics of interactive work with Python in the Jupyter Notebook, provides the necessary minimum Python syntactic constructs for data processing tasks, and examines basic analytical packages: pandas, matplotlib, seaborn. The issues of loading data of different formats, data cleaning, exploratory analysis, and data visualization are considered.
Amount of credits: 6
Пререквизиты:
- Of Informatively-communication technologies
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 45 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 90 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Base disciplines
