This course aims to help anyone interested in data science understand the cybersecurity risks and the tools/techniques that can be used to mitigate those risks. We will cover the distinctions between confidentiality, integrity, and availability, introduce learners to relevant cybersecurity tools and techniques including cryptographic tools, software resources, and policies that will be essential to data science. We will explore key tools and techniques for authentication and access control so producers, curators, and users of data can help ensure the security and privacy of the data.
ofrecido por
Programa especializado: Vital Skills for Data ScienceUniversidad de Colorado en BoulderAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel principiante
Anyone can take this course
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Characterize the CIA principles and use them to classify a variety of cyber scenarios.
Identify and disseminate vulnerabilities in the data security space- social (human) and technical (digital).
Distinguish ethical boundaries of hacking and its applications.
Explore professional cybersecurity networks and connect with experts from the field.
Habilidades que obtendrás
- Communication
- Risk Analysis
- Problem Solving
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel principiante
Anyone can take this course
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Colorado en Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Science in Data Science completamente en línea de Universidad de Colorado en Boulder.
Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.
Programa - Qué aprenderás en este curso
2 horas para completar
Basic Cybersecurity Concepts and Principles
In this module, you will learn the basics of cybersecurity and the CIA triad.
2 horas para completar
4 videos (Total 20 minutos), 6 lecturas, 1 cuestionario
4 horas para completar
Your Cyber Story and Your Public Data Profile
In this module, you will explore your Cyber Story and examine your pubic data profile
4 horas para completar
3 videos (Total 38 minutos), 5 lecturas, 2 cuestionarios
2 horas para completar
Wifi, IoT, Hacking, Data Breaches and Social Engineering
This module explores the world of hacking, IoT and social engineering.
2 horas para completar
3 videos (Total 29 minutos), 4 lecturas, 1 cuestionario
9 horas para completar
The Ethics of Cyber Security
This session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.
9 horas para completar
2 videos (Total 21 minutos), 4 lecturas, 1 cuestionario
Acerca de Programa especializado: Vital Skills for Data Science
Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss.
Preguntas Frecuentes
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