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    • Data Mining

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    365 results for "data mining"

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      University of Illinois at Urbana-Champaign

      Data Mining

      Skills you'll gain: Machine Learning, Data Analysis, Data Mining, Natural Language Processing, Machine Learning Algorithms, Data Science, Data Visualization, Probability & Statistics, Interactive Data Visualization, Python Programming, Statistical Programming, Bayesian Statistics, C Programming Language Family, Computer Programming, Algorithms, Applied Machine Learning, Bioinformatics, Business Psychology, Calculus, Computer Graphics, Data Management, Data Structures, Entrepreneurship, General Statistics, Geovisualization, Mathematics, Network Analysis, Project Management, Spatial Data Analysis, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.5

      (2.8k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Management, Theoretical Computer Science, Data Analysis, Data Mining, Data Warehousing, Algorithms, General Statistics, Machine Learning, Probability & Statistics

      3.2

      (23 reviews)

      Intermediate · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Data Science

      Skills you'll gain: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Application, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Database Administration, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (108k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Data Analytics

      Skills you'll gain: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (107k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      University of Illinois at Urbana-Champaign

      Predictive Analytics and Data Mining

      Skills you'll gain: Algorithms, Bayesian Statistics, Data Analysis, Entrepreneurship, Market Research, Probability & Statistics, Research and Design, Theoretical Computer Science, Accounting, Advertising, Algebra, Communication, Econometrics, Marketing, Mathematics

      4.4

      (129 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Pennsylvania

      AI For Business

      Skills you'll gain: Machine Learning, Entrepreneurship, Leadership and Management, Strategy and Operations, Machine Learning Algorithms, Finance, Data Management, Theoretical Computer Science, Business Analysis, Human Resources, Marketing, Applied Machine Learning, Data Analysis, Sales, Artificial Neural Networks, Deep Learning, Computational Thinking, Computer Programming, Accounting, Algorithms, People Management, Regulations and Compliance, Strategy, Big Data, Data Mining, Data Warehousing, Feature Engineering, Natural Language Processing, Reinforcement Learning, Audit, BlockChain, Business Transformation, Clinical Data Management, Customer Analysis, Customer Relationship Management, Customer Success, Database Administration, Databases, Decision Making, Financial Analysis, Innovation, People Analysis, Research and Design, Security Engineering, Software Security

      4.7

      (147 reviews)

      Beginner · Specialization · 3-6 Months

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      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Computer Programming, Statistical Programming, Python Programming, Data Management, Cloud Computing, Theoretical Computer Science, Databases, Software Engineering, Computer Programming Tools, Human Computer Interaction, Software Architecture, User Experience, Operating Systems, Amazon Web Services, Linux, Extract, Transform, Load, Data Structures, SQL, Cloud Platforms, Machine Learning, Systems Design, Apache, Application Development, Big Data, Data Analysis, Data Engineering, DevOps, Programming Principles, Software Engineering Tools, Database Administration, Database Application, Applied Machine Learning, Cloud Applications, Cloud Engineering, Machine Learning Algorithms, Data Mining

      4.4

      (181 reviews)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Mining Project

      Skills you'll gain: Data Analysis, Data Mining, Machine Learning

      Intermediate · Course · 1-4 Weeks

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      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Analysis, Data Visualization, Plot (Graphics), Data Mining, Data Science

      4.6

      (305 reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Linear Algebra, Regression, General Statistics, Probability & Statistics, Business Psychology, Computer Programming, Dimensionality Reduction, Entrepreneurship, Feature Engineering, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Applied Machine Learning, Mathematics, Statistical Machine Learning, Machine Learning Software, Bayesian Statistics, Statistical Tests, Algebra, Algorithms, Computational Logic, Computer Architecture, Computer Networking, Data Structures, Estimation, Hardware Design, Markov Model, Mathematical Theory & Analysis, Network Model, Theoretical Computer Science

      4.9

      (117.8k reviews)

      Intermediate · Course · 1-4 Weeks

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      Free

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      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Business Analysis, Process Analysis, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, Algorithms, Business Process Management, Business Psychology, Communication, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Organizational Development, Strategy and Operations, Theoretical Computer Science

      4.7

      (1.1k reviews)

      Intermediate · Course · 1-3 Months

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      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      Skills you'll gain: Business Analysis, Spreadsheet Software, Microsoft Excel, Data Analysis, Business, Data Visualization, Basic Descriptive Statistics, Business Communication, Business Psychology, Communication, Culture, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Training, Data Visualization Software, Storytelling, Data Analysis Software, Regression, Databases, Data Science, General Statistics, Probability & Statistics, Big Data, Computer Programming, Data Management, Data Mining, Decision Making, Statistical Analysis

      4.6

      (10.3k reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to data mining

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    1234…31

    In summary, here are 10 of our most popular data mining courses

    • Data Mining: University of Illinois at Urbana-Champaign
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • IBM Data Science: IBM Skills Network
    • Google Data Analytics: Google
    • Predictive Analytics and Data Mining: University of Illinois at Urbana-Champaign
    • AI For Business: University of Pennsylvania
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Data Mining Project: University of Colorado Boulder
    • Data Analysis Using Python: University of Pennsylvania
    • Neural Networks and Deep Learning: DeepLearning.AI

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Data Mining

    • 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.‎

    • The skills or experience you need to already have before starting to learn data mining might include a strong background in computer literacy and cloud technology skills, especially in programming software, data analysis, and business intelligence. Learning about data mining also involves using statistical methods and predictive models to create business solutions, so having experience and background in using statistical software would be helpful. Learning data mining does not require a college degree, but it would be beneficial to have an appropriate undergraduate degree in data science, computer science, information systems, business administration, or even statistics for working in the demanding field.‎

    • The kind of people who are best suited for work that involves data mining are disciplined programmers who are problem solvers, inquisitive explorers, and analytical self-starters. Working in data mining involves the practice of analyzing data to find and identify unforeseen patterns and possible system relationships that may be used to better understand future consumer behaviors. With this information, data miners can help transform this raw information into business insights for their senior leadership to make more and better-informed decisions.‎

    • To know if learning data mining might be right for you, you should be passionate about data analysis and have a focus on numbers, data, and how to create an understanding of various subsets of data. Data mining insiders may make data mining out to be extremely complex, but you may be able to learn the basic skills from online courses, online videos, websites, and web discussion forums. If you're interested in data sciences and how they may propel certain business decisions, then it may be a smart move to learn about data mining, as it’s part of the big data revolution occurring in our technological society and should hold promise for a future career.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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