This course will provide the necessary knowledge to start working with data visualization in the Python programming language. First of all, the main characteristics of the Pandas library will be explained, essential to be able to work with tabulated data. Next, the student will be introduced to the visualization of basic graphs, knowing all the components that allow graphs to be formatted using the Matplotlib library. In addition, it will be explained how to use the Seaborn library that allows you to easily create statistical graphs. In all the modules that make up the course, real data sources will be used for visualization.
- The Pandas library and how to use Dataframes
- Read and write tabulated data files: Excel, csv
- The components of the graphics
- Visualization of basic graphs with the Matplotlib library
- Graphs for statistical analysis with the Seaborn library
- Representation of time series
- Solving examples with visualization of real data sources
