Master
2023/2024
Data Visualization and Storytelling with Python
Type:
Compulsory course (Data Analytics for Business and Economics)
Area of studies:
Economics
Delivered by:
Department of Economics
When:
1 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Andrei Ternikov
Master’s programme:
Data Analytics for Business and Economics
Language:
English
ECTS credits:
3
Contact hours:
32
Course Syllabus
Abstract
Often, there is not enough space for information to be displayed and time to be shared with third parties. Therefore, the data is presented graphically.
A high-quality presentation allows you to:
See trends in changes in company performance, growth or decrease in profit, conduct a comparative analysis when moving from one business development strategy to another, emphasize the dependence of some indicators on others
Visualization is also used to obtain some results. For example, using visualization tools, you can calculate statistical indicators or aggregate data, for example, find the amount of monthly profit by daily indicators. Also, these tools allow you to build graphs and diagrams of the data itself or its aggregations. As part of the course, we will dwell in more detail on the latter - plotting and diagrams. We will visualize the data using Python libraries. The Python language is one of the most common for solving problems related to data analysis and machine learning. Thanks to Python, an analyst can use a single tool to obtain, process and analyze data.