Fechas
In the current context, where information is abundant and the pace of business imposes constant challenges, the ability to make informed and rapid decisions has become a key competitive differentiator.
In response to this scenario, the need arises to train professionals in the effective management of data and the application of optimization techniques that enable strategic and well-founded decision-making. This program has been designed as a response to that need, offering initial training in data analysis using Python and the implementation of data-driven strategies.
Through a combination of theory and applied practice, the program aims to provide participants with the necessary skills to transform data into insights and, in turn, these insights into business decisions that drive growth and innovation within their organizations.
Virtual
46 hours
Live videoconferences will take place on Mondays and Wednesdays from 6:00 PM to 8:00 PM and on 2 Saturdays per month from 8:30 AM to 12:30 PM.
$690 plus VAT
Learning Objectives
- Analyze datasets with Python to support business decision-making.
- Develop algorithms that automate tasks and improve business processes.
- Implement data analysis techniques for decision-making in business environments.
Content
Fundamentals of Python for Data Analysis
Introduction to Python and Environment Setup
This module begins with the configuration of Anaconda, facilitating the management of packages and work environments. Python is introduced, covering everything from running basic scripts to handling data structures, providing the necessary tools to tackle data analysis problems.
Algorithm Development and Automation
This section addresses the development of simple algorithms and the automation of processes with Python. It offers an understanding of how to automate data collection and analysis, preparing participants to apply these techniques in business environments.
Data Analysis for Decision Making
Data Manipulation and Analysis with Python
This module introduces the use of Python and Pandas to effectively transform and analyze data. It incorporates tools for data importation and cleaning, utilizing statistical analysis and impactful visualizations to effectively communicate with data. The process covers extracting, filtering, and transforming data to uncover relevant insights for business decision-making.
Data-Driven Decision Making
This section focuses on applying statistical techniques in Python to support business decisions, using practical cases on customer segmentation, marketing, and A/B testing. It explores tools to analyze, interpret, and extract valuable conclusions from data, driving effective and evidence-based strategies.
Extracurricular Activities
Complementary Talks
Aligned with the Liberal Arts philosophy of USFQ, where all areas of knowledge hold equal relevance and contribute to the development of understanding, this program includes virtual talks on various topics of current interest. These are open to the general public or are part of other programs. It is an opportunity to enrich the academic content of the program, and attendance is optional.
Business Forum
The business forum is a virtual meeting space between students and panelists; entrepreneurs, businesspeople, professors, and experts who will share their perspectives, trends, and best practices. The forums will be managed according to the annual schedule, and students from non-degree programs and master's degrees at Escuela de Empresas participate. It is an opportunity to enrich the academic content of the program, and attendance is optional.
Activities
This program includes various virtual activities, including presentations, practical exercises for the real-world application of the presented concepts, workshops, discussions, and more. The program follows an active, participative, and critical methodology that connects theory with practice.
Students must access the virtual platform Desire to Learn (D2L) at least 2 hours in advance to familiarize themselves, use study resources, and complete virtual activities. Access to the D2L platform is available from the start of the program until one month after its completion.