What is data mining, and why is it important to learn about?

Data mining is the process of discovering meaningful patterns in large datasets to help guide an organization’s decision-making. With the use of techniques like regression, classification, and cluster analysis, data mining can sort through vast amounts of raw data to analyze customer preferences, detect fraudulent transactions, or perform social network analyses. Data mining is important because it delivers the descriptive and predictive analytics needed by an organization to increase productivity and sales, reduce costs, and prepare for the future. Like other areas of data science, data mining typically relies on the Python programming language for tasks like data cleansing, data organization, and machine learning (ML) applications. In social data mining, data clustering algorithms are used to inform recommender systems that can guide customers in entertainment and e-commerce choices. When delving into unstructured datasets, data mining can employ information retrieval (IR) and natural language processing (NLP) for text mining applications that can uncover customers’ emerging concerns or unmet needs.

What kinds of careers can I have with a background in data mining?

Depending on the size of an organization, data mining specialists, data analysts, or data engineers may be responsible for data mining. Regardless of job title, data mining requires an understanding of all types of data, databases, and distributed file systems as well as statistical requirements for descriptive and predictive analysis. And, although most data mining is performed with either Python or R programming skills, knowledge of SQL and business intelligence software can also be very important. Data mining is also a core skill for data scientists, who have the programming skills, understanding of statistics, and ability to wrangle and visualize data that is essential in this field. They also have the in-depth knowledge of ML algorithms to aid their exploratory analysis, whether they are solving public policy questions, helping to detect disease outbreaks, or identifying money laundering operations. According to Glassdoor, the national average salary for a data scientist in the United States is $113,309 per year.

Can I learn about data mining by taking online courses on Coursera?

Yes! Coursera has a wide range of online courses and Specializations on data mining and related topics including machine learning, natural language processing, and applied data science with Python. You can take courses from top-ranked institutions like the University of Illinois at Urbana-Champaign, Johns Hopkins University, and the University of Washington, as well as industry-leading organizations like IBM, so you don’t have to sacrifice the quality of your education for the opportunity to learn online. Coursera also offers the opportunity to earn a Data Science Professional Certificate from IBM. And, with Coursera Guided Projects, you have the opportunity to add skills to your resume through hands-on tutorials presented by expert instructors in cutting-edge topics like Covid-19 data analysis using Python and sentiment analysis with deep learning.

Explorar>
Data Mining

Cursos de Data Mining

Explora los títulos y certificados 100 % en línea de Coursera

Master of Computer ScienceArizona State University

Master of Applied Data ScienceUniversity of Michigan

Master of Computer Science in Data ScienceUniversity of Illinois

Data Mining
University of Illinois at Urbana-Champaign
Especialización
Calificado 4.4 de cinco estrellas. 2101 revisiones
150k estudiantes
Intermediate
IBM Data Science
IBM
PROFESSIONAL CERTIFICATE
Calificado 4.6 de cinco estrellas. 56617 revisiones
550k estudiantes
Beginner
Applied Data Science with Python
University of Michigan
Especialización
Calificado 4.5 de cinco estrellas. 23325 revisiones
550k estudiantes
Intermediate
Predictive Analytics and Data Mining
University of Illinois at Urbana-Champaign
Curso
Calificado 4.3 de cinco estrellas. 56 revisiones
4.6k estudiantes
Intermediate
Introducción a la Minería de Datos
Pontificia Universidad Católica de Chile
Curso
Calificado 4.7 de cinco estrellas. 619 revisiones
21k estudiantes
Beginner
COVID19 Data Analysis Using Python
Coursera Project Network
Nuevo
proyecto guiado
Calificado 4.6 de cinco estrellas. 846 revisiones
9.2k estudiantes
Intermediate
Sentiment Analysis with Deep Learning using BERT
Coursera Project Network
Nuevo
proyecto guiado
Calificado 4.5 de cinco estrellas. 152 revisiones
3.8k estudiantes
Intermediate
Machine Learning
Stanford University
Curso
Calificado 4.9 de cinco estrellas. 141290 revisiones
3.4m estudiantes
Mixed
Process Mining: Data science in Action
Eindhoven University of Technology
Curso
Calificado 4.8 de cinco estrellas. 743 revisiones
41k estudiantes
Intermediate
Blockchain
University at Buffalo
Especialización
Calificado 4.6 de cinco estrellas. 4115 revisiones
85k estudiantes
Intermediate
Cluster Analysis in Data Mining
University of Illinois at Urbana-Champaign
Curso
Calificado 4.5 de cinco estrellas. 322 revisiones
27k estudiantes
Mixed
Using Python to Access Web Data
University of Michigan
Curso
Calificado 4.8 de cinco estrellas. 31958 revisiones
350k estudiantes
Mixed
Code Free Data Science
University of California San Diego
Curso
Calificado 4.3 de cinco estrellas. 39 revisiones
5.5k estudiantes
Beginner
Getting and Cleaning Data
Johns Hopkins University
Curso
Calificado 4.6 de cinco estrellas. 7185 revisiones
140k estudiantes
Mixed
Social Media Data Analytics
University of Washington
Curso
Calificado 4.1 de cinco estrellas. 208 revisiones
24k estudiantes
Intermediate
Support Vector Machine Classification in Python
Coursera Project Network
Nuevo
proyecto guiado
Calificado 4.5 de cinco estrellas. 70 revisiones
1.8k estudiantes
Intermediate
What is Data Science?
IBM
Curso
Calificado 4.7 de cinco estrellas. 36441 revisiones
300k estudiantes
Beginner
Introduction to Data Science in Python
University of Michigan
Curso
Calificado 4.5 de cinco estrellas. 19494 revisiones
440k estudiantes
Intermediate
Machine Learning: Clustering & Retrieval
University of Washington
Curso
Calificado 4.6 de cinco estrellas. 1966 revisiones
65k estudiantes
Mixed
Pattern Discovery in Data Mining
University of Illinois at Urbana-Champaign
Curso
Calificado 4.3 de cinco estrellas. 261 revisiones
28k estudiantes
Mixed

Searches related to data mining

data mining project

applied data mining

predictive analytics and data mining

cluster analysis in data mining

pattern discovery in data mining

data stream mining

process mining: data science in action

foundations of mining non-structured medical data

Habilidades que puedes aprender en Machine Learning

Programación Python (33)

TensorFlow (32)

Aprendizaje Profundo (30)

Red Neuronal Artificial (24)

Preguntas frecuentes sobre minería de datos

Data mining is the process of discovering meaningful patterns in large datasets to help guide an organization’s decision-making. With the use of techniques like regression, classification, and cluster analysis, data mining can sort through vast amounts of raw data to analyze customer preferences, detect fraudulent transactions, or perform social network analyses. Data mining is important because it delivers the descriptive and predictive analytics needed by an organization to increase productivity and sales, reduce costs, and prepare for the future.
Like other areas of data science, data mining typically relies on the Python programming language for tasks like data cleansing, data organization, and machine learning (ML) applications. In social data mining, data clustering algorithms are used to inform recommender systems that can guide customers in entertainment and e-commerce choices. When delving into unstructured datasets, data mining can employ information retrieval (IR) and natural language processing (NLP) for text mining applications that can uncover customers’ emerging concerns or unmet needs.
Depending on the size of an organization, data mining specialists, data analysts, or data engineers may be responsible for data mining. Regardless of job title, data mining requires an understanding of all types of data, databases, and distributed file systems as well as statistical requirements for descriptive and predictive analysis. And, although most data mining is performed with either Python or R programming skills, knowledge of SQL and business intelligence software can also be very important.
Data mining is also a core skill for data scientists, who have the programming skills, understanding of statistics, and ability to wrangle and visualize data that is essential in this field. They also have the in-depth knowledge of ML algorithms to aid their exploratory analysis, whether they are solving public policy questions, helping to detect disease outbreaks, or identifying money laundering operations. According to Glassdoor, the national average salary for a data scientist in the United States is $113,309 per year.
Yes! Coursera has a wide range of online courses and Specializations on data mining and related topics including machine learning, natural language processing, and applied data science with Python. You can take courses from top-ranked institutions like the University of Illinois at Urbana-Champaign, Johns Hopkins University, and the University of Washington, as well as industry-leading organizations like IBM, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.
Coursera also offers the opportunity to earn a Data Science Professional Certificate from IBM. And, with Coursera Guided Projects, you have the opportunity to add skills to your resume through hands-on tutorials presented by expert instructors in cutting-edge topics like Covid-19 data analysis using Python and sentiment analysis with deep learning.

Otros temas para explorar

Ciencias de la Computación

668 cursos

Ciencia de Datos

425 cursos

Tecnología de información

Ciencias Físicas e Ingeniería

413 cursos

Ciencias sociales

401 cursos

Aprendizaje de un idioma

150 cursos

Qué tiene Coursera para ofrecer

Programa de aprendizaje

Descripción

proyecto guiado

Aprende una habilidad relevante para el trabajo que puedes usar hoy en menos de 2 horas a través de una experiencia interactiva guiada por un experto en la materia. Accede a todo lo que necesitas directamente en tu navegador y completa tu proyecto con confianza con instrucciones detalladas.

Curso

Aprenda Machine Learning con cursos de Machine Learning en línea. Toma cursos de los mejores instructores y las mejores universidades del mundo. Los cursos incluyen tareas revisadas entre compañeros y con calificaciones automáticas, lecciones en video y foros de debate comunitarios. Cuando completas un curso, eres elegible para recibir un certificado de curso electrónico para compartir por una pequeña tarifa.

Especialización

Aprenda Machine Learning con especializaciones en Machine Learning en línea. Inscríbete en un programa especializado para desarrollar una habilidad profesional específica. Completarás una serie de rigurosos cursos, llevarás a cabo proyectos prácticos y obtendrás un certificado de programa especializado para compartir con tu red profesional y posibles empleadores.

Certificado profesional

Ya sea que desees comenzar una nueva carrera o cambiar la actual, Certificados profesionales en Coursera te ayudarán a prepararte para el mundo laboral. Aprende a tu propio ritmo con las mejores empresas y universidades, aplica tus nuevas habilidades en proyectos prácticos que te permitan demostrar tu pericia a los posibles empleadores y obtén una credencial profesional para comenzar tu nueva carrera.

CERTIFICADO MASTERTRACK™

Con Certificados MasterTrack™, algunas secciones de los programas de las Maestrías se dividieron en módulos en línea, por lo que podrás obtener una credencial profesional en línea otorgada por una universidad de excelente calidad a un precio de lanzamiento y mediante un formato interactivo y flexible. Disfruta de una experiencia de aprendizaje muy cautivante con proyectos de la vida real y capacitaciones dictadas por expertos en vivo. Si te aceptan para realizar el programa completo de la Maestría, el trabajo del curso MasterTrack se cuenta para tu título.

Título

Transforma tu currículum con un título en línea de una universidad importante por un precio de lanzamiento. Nuestra experiencia de aprendizaje de título modular te otorga la capacidad de estudiar en línea en cualquier momento y obtener créditos a medida que completas las tareas de tu curso. Recibirás la misma credencial que los estudiantes que asistieron a la clase en la universidad. Los títulos de Coursera cuestan mucho menos dinero en comparación con los programas presenciales.

Cursos de Data Mining

Explora los títulos y certificados 100 % en línea de Coursera

Mostrando 143 resultados totales para data mining