Welcome
IPN-Dharma AI Lab
This is an IPN CIC - DHARMA initiative to provide an Artificial Intelligence Laboratory to motivate researchers, professors and students to take advantage of the courses, resources and tools of the main technology platforms of the industry in the areas of Machine Learning, Data Science, Cloud Computing, Artificial Intelligence and Internet of Things with the purpose of generating a practical experience through a learning model between peers and by objectives.
Level 1: Literacy and Foundations
Data Science for Business
Every day we make a large number of decisions and some of them have a lasting impact. How we make these decisions and the rational driving these decisions are critical to our success. This learning path is designed to demonstrate how to identify insights from data to support consistently making clear and rational decisions. Courses in this learning path are case study driven, and put data manipulation, data visualization and analytical techniques in the context of the everyday to put an end to the second guess.
Courses in this program
1) Data Privacy Fundamentals
Learn about privacy from 5 prominent cases of data breaches from 2012 to 2015, which highlight vulnerabilities in typical organizations.
Learn about data privacy laws and get some guiding principles on how to avoid trouble. For example, knowing how to hack a colleague's password raises ethical questions.
Learn about data privacy laws and get some guiding principles on how to avoid trouble. For example, knowing how to hack a colleague's password raises ethical questions.
Estimated effort 3 hours
English language
2) Digital Analytics & Regression
Follow a case study where you define the business goal, establish the data needed to address that goal, and use R, the programming language, to derive insights from the data. As with any business challenge, you will be asked to present your findings to a business audience.
3) Predictive Modeling Fundamentals I
Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more. IBM SPSS Modeler puts these capabilities into the hands of business users, data scientists, and developers. In this course you will learn the basics to get started with predictive modeling.