Python scientific stack
Duration
12-20 hours
In this course, we will learn about the NumPy library and its multidimensional array, the Pandas library and the structures it offers (Series and DataFrame), and how to efficiently plot data using the Matplotlib and Seaborn libraries, which will be especially useful for both exploratory analysis and communication of results.
Course content
NumPy
- Introduction to NumPy
- The multidimensional array
- Indexing and selection
- Array sorting and concatenation
- Array operations
- NumPy functions
- The numpy.random sublibrary
Pandas
- Introduction to Pandas
- Series and DataFrames
- Data selection
- Operations with Pandas Structures
- Reindexing and Multi-indexing
- Sorting and classification
- Functions and mapping
- Data cleaning with Pandas
- Grouping
matplotlib
- Data visualization with matplotlib
- Nomenclature
- Programming interfaces
- Figures and axes
- Static and dynamic graphics
- 3D graphics
- Image management
Seaborn
- Figure and axis functions
- Distributions
- Relationships between quantitative variables
- Relationships between quantitative and qualitative variables
- Statistical models
- Heat maps
- Visualization configuration
Facultad de Ciencias Económicas, Empresariales y Turismo.
Pza. de la Victoria, 2
28802 Alcalá de Henares (Madrid)
Telf. 91 8854201/02
BAII offers data-driven business solutions that enable companies to make informed decisions. BAII also provide statistical consulting for researchers who wish to carry out their projects with greater assurance. In addition, we implement training programs in data science, machine learning, and business analytics.