Area of the MDH where we focus on Attracting Skilling Reskilling UpskillingMexico's digital talent.

The Data Science for Executives program is designed to equip leaders with the knowledge and skills to identify and prioritize data science opportunities in their organizations. The course covers essential concepts, terminology and real-world case studies from industry to illustrate the potential of data science in driving business success.

Students will learn to develop an actionable plan for data governance, evaluate the feasibility of data opportunities, prioritize data projects using ROI, and understand key questions to ask about data science products.

By the end of the training, they will be able to articulate data science projects from business scenarios, measure the success of a data science project and create a plan for their organization to become more data-driven.

• Module 1: Current and Future Trends of Data Science
• Module 2: Data and Model-Driven Organizations
• Module 3: Demystifying Machine Learning
• Module 4: Articulating Data Science projects business scenarios
• Module 5: Prioritizing data science projects
• Module 6: Evaluating projects from model and business perspectives
• Module 7: The Data Science project lifecycle by example
• Module 8: Next steps and calls to action.

This course is designed to provide a thorough understanding of the fundamentals of Data Science and Artificial Intelligence. Participants will learn how to apply this knowledge to business scenarios and how to measure success using KPIs.

In addition, the potential risks of embarking on Data Science initiatives will be discussed and how to prioritize projects based on their potential outcomes will be taught. The course will also cover the lifecycles of Data Science initiatives and AI data product development, providing a thorough understanding of how to take a project from conception to implementation and evolution.

• Module 1: Current and Future Trends of Data Science
• Module 2: Data and Model-Driven Organizations
• Module 3: Demystifying Machine Learning
• Module 4: Articulating Data Science projects business scenarios
• Module 5: Prioritizing data science projects
• Module 6: Evaluating projects from model and business perspectives
• Module 7: The Data Science project lifecycle by example
• Module 8: Next steps and calls to action.

In this course, students will understand the importance of promoting in business roles the ability to generate, envision and propose Data Science projects through an on-demand or hybrid learning offering.

At the end of this program, students will know the basic concepts of data science, the value stream of data in the enterprise and how to identify business opportunities through data products (from descriptive to predictive and prescriptive through artificial intelligence).

• Module 1: Data
• Module 2: Product
• Module 3: Business
• Module 4: Project

Discover how to master Prompt Engineering in the business world. This specialized course for business professionals will equip you with essential skills and knowledge to create and refine prompts that generate tangible results in language processing tasks.

Learn to draft effective prompts, apply advanced strategies, and solve real business challenges. Upon completion, you'll be ready to optimize communication, automate responses, and fully leverage Prompt Engineering in real-world situations.

• odule 1: Fundamentals of Prompt Engineering
• Module 2: Creation of Effective Prompts
• Module 3: Advanced Prompt Tuning Strategies
• Module 4: Introduction to Open AI API
• Module 5: Business Aplication of Prompt Engineering
• Module 6: Ethics in Prompt Engineering

In this course, students will master the basic concepts of the Python language through a blended learning offering (which will include both self-study and classroom instruction). By the end of this program, students will be able to apply various basic concepts, sentences, object-oriented programming, and descriptive statistics.

Students who wish to delve deeper into data learning will be able to use this course as an introduction to the core Python specializations (data engineering, data translator, and data science).

• Module 1: Program Induction
• Module 2: Introduction to Python
• Module 3: Types of structure
• Module 4: Numpy
• Module 5: Operations/Operators
• Module 6: Cycles
• Module 7: Functional Programming
• Module 8: Pandas
• Module 9: Data Visualization (Dashboards)