Online Training
University Microcredential in Data Analysis with Python + 3 Credits
135 hours
3CR
Spanish
Educational institutions
Request information
Online Training
135 hours
3CR
Spanish
Educational institutions
Request information
Multilingual support
Digital certificate included
Assistant Phia
- Understand the installation and configuration of a development environment in Python. - Identify and use data types, variables and operators in Python. - Implement loops and conditionals to control the flow of the program. - Apply libraries such as NumPy, Pandas and Matplotlib in data analysis. - Perform efficient filtering and extraction of data for specific analyses. - Design and manage dynamic tables to summarize large data sets. - Run linear and logistic regressions to interpret relationships between variables.
- Data analyst in technology companies - Specialist in data visualization - Business intelligence technician - Data consultant - Developer of Python solutions for data analysis - Data scientist focused on regressions - Database manager - Professional in automation of analytical processes - Expert in optimization of predictive models
This course prepares you to use Python as a powerful tool in data analysis. You will learn from the installation and configuration of the development environment to the advanced use of libraries such as NumPy, Pandas and Matplotlib. You will be able to manage data types, variables, loops and conditionals, perform filtering, merging and apply regression techniques. Upon completion, you will be able to extract, analyze and visualize data efficiently, thus optimizing decision making in your professional field.