Solución de problemas y toma de decisiones (Coursera)

Solución de problemas y toma de decisiones (Coursera)

Este curso te presenta técnicas que permiten entender las ventajas del pensamiento divergente (creativo) como una habilidad fundamental en la solución de problemas. Revisa, también, la metodología para manejar estilos participativos en la toma de decisiones asegurando la efectividad de las mismas y la aceptación por parte del personal al ser tomado en cuenta.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 4 of 6 in the Habilidades Gerenciales Specialization.

Syllabus

WEEK 1
Concepto de problema
En muchas ocasiones, el directivo no alcanza a definir correctamente una situación problemática y confunde los elementos de la misma. En este inicio del curso, definiremos las características de un problema y a través de un ejercicio desarrollaremos habilidades para lograr soluciones exitosas aplicando algunos de los principios del Dr. Norman R. F. Maier.
Método de exploración de problemas
Al finalizar este módulo habrás aplicado el método de exploración de problemas, que te será muy útil para ubicar los obstáculos que te impiden llegar a tus metas laborales y personales.

WEEK 2
Principios de solución de problemas y dirección del pensamiento
Este módulo te permitirá aplicar algunos de los principios de dirección del pensamiento que aportó el Dr. Maier, los cuales te ayudarán a manejar este proceso de una manera más creativa, sin las ideas habituales que no pueden ser evitadas cuando tratamos de solucionar un problema, pero que sí podemos relegar para buscar soluciones más innovadoras.

WEEK 3
El área de libertad del directivo para la toma de decisiones (TD)
La definición de los problemas a superar que un directivo tiene en sus manos es muy importante para evitar dar soluciones que no se apeguen a la realidad o que estén fuera de su nivel de autoridad. Esto le permitirá canalizar sus esfuerzos y los de su equipo al resolver problemas reales y en su tramo de control.
Procesos mentales en la TD
En este módulo, tendrás oportunidad de dejar de aplicar métodos habituales para solucionar problemas como el de ensayo y error, que además pocas veces da resultado y adquirirás habilidad para analizar los problemas buscando todas las alternativas posibles antes de tomar la decisión.

WEEK 4
Elementos para involucrar al personal en la toma de decisiones
En muchas ocasiones, los directivos prefieren tomar las decisiones por sí mismos, sin hacer participar a su grupo y esto se debe a que carecen de habilidad para conducir sesiones para resolver problemas con sus equipos. En este módulo nos enfocaremos a que domines algunos principios para plantear en forma adecuada un problema a tus colaboradores.
Aceptación y calidad, elementos básicos para alcanzar una decisión efectiva e integral
Lo interesante del enfoque del Dr. Maier para solucionar problemas es que nos da información sobre aspectos conductuales que siempre están presentes en una junta de trabajo, como la actitud y la frustración. Y nos explica la importancia que tiene el escuchar activamente a nuestro grupo y lograr que nuevamente el equipo colabore en una forma creativa y armónica en la solución de los problemas. Propiciar este clima con el grupo nos permitirá alcanzar decisiones integrales en las que logremos obtener más ventajas y menos desventajas.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Exploring and Producing Data for Business Decision Making (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploring and Producing Data for Business Decision Making (Coursera)

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Jun 8th 2026
4 Weeks
Foundations of Everyday Leadership (Coursera) Coursera
University of Illinois at Urbana-Champaign

Foundations of Everyday Leadership (Coursera)

In this course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills. Learners: understand why and how leadership skills are so critical to organizational success; know how to use leadership skills to work more effectively with others, and are able to organize teams to work more effectively together; will be able to apply the foundations of effective leadership skills to everyday situations faced by leaders.

Jun 8th 2026
4 Weeks
Introduction and Programming with IoT Boards (Coursera) Coursera
Pohang University of Science and Technology - POSTECH

Introduction and Programming with IoT Boards (Coursera)

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.

Jun 8th 2026
5-12 Weeks
Network Dynamics of Social Behavior (Coursera) Coursera
University of Pennsylvania

Network Dynamics of Social Behavior (Coursera)

How do revolutions emerge without anyone expecting them? How did social norms about same sex marriage change more rapidly than anyone anticipated? Why do some social innovations take off with relative ease, while others struggle for years without spreading? More generally, what are the forces that control the process of social evolution –from the fashions that we wear, to our beliefs about religious tolerance, to our ideas about the process of scientific discovery and the best ways to manage complex research organizations?

Jun 8th 2026
5-12 Weeks
Managing, Describing, and Analyzing Data (Coursera) Coursera
University of Colorado Boulder

Managing, Describing, and Analyzing Data (Coursera)

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making.

Jun 8th 2026
5-12 Weeks
Critical thinking: reasoned decision making (Coursera) Coursera
Tecnológico de Monterrey

Critical thinking: reasoned decision making (Coursera)

Making decisions in today's world, a world increasing in complexity, with broad changes and uncertainty, creates the need of approaches that allow us to discern the real problems and the causes that create them. Identifying these problems, in most cases, requires challenging the assumptions on which we base our judgments, regarding the world and its realities. Critical thinking could be defined, as "that way of thinking - on any subject, content or problem - in which the thinker improves the quality of his thinking by seizing the inherent structures of the act of thinking and by subjecting them to intellectual standards".

Jun 8th 2026
4 Weeks
Mastering the Software Engineering Interview (Coursera) Coursera
University of California, San Diego

Mastering the Software Engineering Interview (Coursera)

You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice!

Jun 8th 2026
4 Weeks
Data Analysis and Visualization (Coursera) Coursera
University at Buffalo,The State University of New York

Data Analysis and Visualization (Coursera)

By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.

Jun 8th 2026
4 Weeks
Computational Thinking for Problem Solving (Coursera) Coursera
University of Pennsylvania

Computational Thinking for Problem Solving (Coursera)

Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.

Jun 8th 2026
4 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Jun 8th 2026
5-12 Weeks
Inheritance and Data Structures in Java (Coursera) Coursera
University of Pennsylvania

Inheritance and Data Structures in Java (Coursera)

This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps. Additionally, this course offers strategies for catching errors and debugging code, including an overview of Eclipse’s debugging tool.

Jun 8th 2026
4 Weeks
Managerial Accounting: Tools for Facilitating and Guiding Business Decisions (Coursera) Coursera
University of Illinois at Urbana-Champaign

Managerial Accounting: Tools for Facilitating and Guiding Business Decisions (Coursera)

In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve strategy.

Jun 8th 2026
4 Weeks