Principles and Applications of Machine Learning
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.
Statistical and Machine Learning
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
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
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.
Decisions and Data Analytics
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.
Marketing and Strategy Analytics
The potential of the use of data analytics is enormeus, many questions and problems from marketing research to strategy can be solved.
Principles of Analytics I and II
These courses are the basis for understanding from EDA to basic models of statistical and machine learning