Enhancing Skills for a New World

Risk management is a strategic means to manage organizations and to lead them to achieve goals. Dealing with uncertainty is part of the rules of competition. Better risk management is to have better capabilities and capacity to build in the organizations sustainable and adaptive competitive advantages. This course is oriented to undertand from stategic risk the chain of risks that an holistic view of risk has to analayze.

Improvement of business operations and managing supply chain is fundamental in the correct development of the organizations. This course review the methods and techniques to help organizations to enhance operations management.

Nowadays, technology is possible to use in the development of capabilities to compete and to improve productivity, efficiency and support decision making processes. The cost of the technology is not a barrier to achieve the goal of good of data analytics use, the barrier is in the creation of mindsets in the organization management to adopt that technology and use it appropriately. This course and the program is for creating the mindset and to use wonderful tools that will help the organization to advance and adapt strategies to win.

Strategic Intelligence is the fusion of Business Intelligence, Competitive Intelligence and Artificial Intelligence. It is the way to generate value for stakeholders from internal and external knowledge to compete and to achieve organizations' goals. This course introduces to the principles and ways to improve satrategic intellince in organizations from data to actions.

Preparation for adopting in appropriate way new technologies, dealing with risk of new technologies and potentializing the use of new knowledge is fundamental to move ahead in the creation of adaptive sustainable competitive advantages and generation of corporate's intelligence for the benefit of organization's stakeholders.

Enterprise Risk Management view at topa mangement is crucial to have as a means ont only for magament contorls systems design but also to design strategies for obtaining more benefits of new technologies, data analytics, AI and digitalization.

AI is a universe that is in the opening stage for understanding, in this course there is an intrction to understand basic tools in R and Python to create solutions and paplications of AI.

Understading of the basic models for predicition, classification, creation of groups, link analysis, and multiple other porblesm require the understanding of the plillars of statitical and machine learning models.

Data visualization goes betond creation of charts becuase data visualization is about exploration, description, models undertanding and evaluation, workflows of data analytics process, creation of data products and use of capabilities of langauges and tools.

Optimization is part of prescriptive analytics and at the same time a way to understand how algorithms are improving the search for answers and convergence.

Using data anaytics for supporting the decision making process requires not only the modeling process but also the creation of understanding and guides for actions.

The potential of the use of data analytics is enormeus, many questions and problems from marketing research to strategy  can be solved.

These courses are the basis for understanding from EDA to basic models of statistical and machine learning

Changes in oganizations becuase of innovation are bringing new risks that require understanding and strategies of mitigation.

Actuarial mathematics for anlysis of risk in individual and collective cases, desevelopment of pricing methods and understanding of modeling frequency and severity of risk events.

This course is goign beyond the traditional interest theory to the analysis of returns in multiple types of portfolios and processes.

Strategic risk is the study of factors affecting the competitive positions of organizations.

This is the course for developing a holistic view of risk in the organization

This is the coourse to study the analysis and design principles for  a risk management system.

The opportunities to use dta analytics techniques in the insurance insutry are infinite. This course is propraed to guide professionals to use in a better way data in insurance industry.

Insurtech is a trend in insurance companies to use technology as support and control of risk processes in insurance organizations

This is the course to intriuce students in the modeling process for dealing with uncertainty and risk in insurance related processes

Using data is a purpose in nowadays organizations and that is possible if problems to solve are with robust statistics concepts. 

Operations management in healthcare using technology and development of services for internal and external users.

Health organizations are very comples organizations where coexist the scientifica worlds, administration and services to the community. Data analytics is a powerful approach to solve mutiple problems in healthcare administration.

Technology is taking space closer and closer of the daily operation in banking. Members of the staff of banks need to point creativity to manage for the organization's benefit the approaches coming from blockchain, use of cloud services, development of AI support means to lead decisions in startegy, and manging the bankingportfolios in investment, promotion, markets, products etc.

Risk analytics is an area in development to improve the capabilities in organizations to generate solutions for new product development, control of exposure and control of losses.

This course brings you to the world of using data analytics for operattions, risk management, pricing, marketinng and strategy in banking organizations. The most important aspect in this progrma and courses is the integration of perspectives in banking business using techniques and tools of data analytics.