EdX

Introducción a la Ciencia de Datos y el Big Data (edX)

Introducción a la Ciencia de Datos y el Big Data (edX)

Obtén un panorama general de lo que es Data Science o Ciencia de Datos y cómo aplicarla en las organizaciones. Aprende a tomar decisiones basadas en los datos. El futuro pertenece a la ciencia de datos y a quienes la entiendan. Al igual que el petróleo y el gas impulsaron las economías de los siglos XX y XXI, los datos impulsan cada vez mas la innovación y la economía global a medida que avanzamos hacia una nueva era denominada la revolución digital.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Las empresas que están cambiando a una mentalidad de datos van a obtener primero una enorme ventaja competitiva.
Esto se ha convertido en una verdad universal: las empresas modernas se están inundando de big data. El año pasado, McKinsey estimó que las iniciativas de Big Data en el sistema de salud de los Estados Unidos, "podrían representar de $300 mil millones a $450 mil millones en gastos de salud reducidos o del 12 al 17 por ciento de la línea de base de $2.6 billones en costos de salud de los Estados Unidos". Por otro lado, sin embargo se estima que los datos erróneos le cuestan a los Estados Unidos apróximadamente $3.1 trillones de dólares al año.
Aunque la ciencia de datos representará ventajas puntuales para las empresas como mitigar el riesgo y/o el fraude; entregar al cliente productos relevantes y tener experiencias personalizadas al mismo, es sin embargo, importante notar que la ciencia de datos podrá agregar un valor a cuaquier negocio, siempre y cuando pueda usar bien sus datos. El análisis de la información y la inteligencia de negocios ayudan a las organizaciones a tomar decisiones inteligentes basadas en el análisis de datos.
This course is part of the Ciencia de Datos Professional Certificate.

What you'll learn

  • Introducir al alumno en los conceptos claves sobre la Ciencia de Datos y Big Data.
  • Comprender la forma en la que se gesta un proyecto de Ciencia de Datos.
  • Identificar los proyectos de esta disciplina que se pueden realizar en las diferentes áreas funcionales de una organización a través de casos de éxito en las diferentes industrias.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Big Data, Hadoop, and Spark Basics (edX) EdX
IBM

Big Data, Hadoop, and Spark Basics (edX)

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on. Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery, and more, to identify behaviors and preferences of prospects, clients, competitors, and others. ****

Self Paced
Self-Paced
SQL for Data Science (edX) EdX
IBM

SQL for Data Science (edX)

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field. Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases.

Self Paced
Self-Paced
Data Analytics Basics for Everyone (edX) EdX
IBM

Data Analytics Basics for Everyone (edX)

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst. In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem.

Self Paced
Self-Paced
Data Science Ethics (edX) EdX
University of Michigan,MichiganX

Data Science Ethics (edX)

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making. As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias.

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Data Science Tools (edX) EdX
IBM

Data Science Tools (edX)

Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

Self Paced
Self-Paced
UX Data Analysis (edX) EdX
HECMontrealX,HEC Montréal

UX Data Analysis (edX)

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle in UX, from qualitative user research and quantitative user testing data analysis to big data Web analytics.

Self Paced
Self-Paced
Introduction to Data Science (edX) EdX
IBM

Introduction to Data Science (edX)

Learn about the world of data science first-hand from real data scientists. The art of uncovering the insights and trends in data has been around for centuries. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year.

Self Paced
Self-Paced
Introduction to Computer Science and Programming (edX) EdX
Tokyo Institute of Technology,TokyoTechX

Introduction to Computer Science and Programming (edX)

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simultation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to basics and key concepts of computer science. By following the lectures and exercises of this course you will have an understanding of algorithms and you will get a real experience of programming using the language Ruby.

Self Paced
Self-Paced