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    • Data Mining

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    365 results for "data mining"

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      IBM Skills Network

      Introduction to Data Science

      Skills you'll gain: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Application, Big Data, Computer Programming, Database Administration, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing

      4.6

      (78.3k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.6k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      Skills you'll gain: Data Science, Cloud Computing, Applied Machine Learning, Cloud Engineering, Cloud Infrastructure, Data Mining, Regression, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, DevOps, IBM Cloud, Network Security, Software As A Service, Software Engineering, Basic Descriptive Statistics, Data Analysis, Big Data, BlockChain, Computer Architecture, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Operating Systems, Probability & Statistics, Security Engineering, Software Architecture, Software Framework, Storytelling, System Programming, Theoretical Computer Science, Writing

      4.7

      (74.7k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM AI Foundations for Business

      Skills you'll gain: Data Science, Applied Machine Learning, Data Management, Leadership and Management, Data Architecture, Data Mining, Machine Learning, Regression, Artificial Neural Networks, Basic Descriptive Statistics, Cloud Computing, Cloud Platforms, Data Analysis, Database Administration, Databases, Deep Learning, Big Data, Computer Vision, General Statistics, Innovation, Machine Learning Algorithms, Probability & Statistics, Storytelling, Writing

      4.7

      (71.7k reviews)

      Beginner · Specialization · 1-3 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Skills you'll gain: Entrepreneurship, Strategy and Operations, Business Analysis, Business Transformation, Leadership and Management, Marketing, Sales, Strategy, Data Science, Cloud Computing, Data Analysis, Data Management, Research and Design, Applied Machine Learning, Business Design, Big Data, Market Analysis, Cloud Engineering, Cloud Infrastructure, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Innovation, Basic Descriptive Statistics, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, Data Mining, Data Structures, Data Visualization, Data Warehousing, DevOps, General Statistics, IBM Cloud, Machine Learning, Mathematics, Network Security, Probability & Statistics, Software As A Service, Software Engineering, Apache, BlockChain, Business Psychology, Change Management, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Visualization Software, Deep Learning, Design and Product, Digital Marketing, Extract, Transform, Load, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning Algorithms, Microsoft Excel, Operating Systems, Organizational Development, Product Strategy, Professional Development, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (24.3k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Business Analysis, Microsoft Excel, Probability & Statistics, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Accounting, Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (15.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Applied Data Science

      Skills you'll gain: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (44k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Accounting, Apache, Computer Programming, Extract, Transform, Load, Interactive Data Visualization, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (15k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Applied AI

      Skills you'll gain: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Statistical Programming, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools

      4.6

      (42.7k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Machine Learning, Deep Learning, Tensorflow, Artificial Neural Networks, Computer Vision, Data Science, Computer Programming, Python Programming, Statistical Programming, General Statistics, Natural Language Processing, Probability & Statistics, Business Psychology, Entrepreneurship, Forecasting, Applied Machine Learning, Communication, Machine Learning Algorithms, Marketing, Calculus, Data Visualization, Mathematics, Programming Principles, Statistical Machine Learning, Computer Graphic Techniques, Computer Graphics, Machine Learning Software

      4.7

      (23.2k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Machine Learning, Natural Language Processing, Statistical Programming, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Data Science, Statistical Machine Learning, Human Computer Interaction, Probability & Statistics, User Experience, Algorithms, Bayesian Statistics, Communication, Computer Graphics, Computer Programming, Dimensionality Reduction, Experiment, General Statistics, Machine Learning Software, Markov Model, Mathematics, Operations Research, Regression, Research and Design, Strategy and Operations, Theoretical Computer Science

      4.6

      (5k reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Skills you'll gain: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (16k reviews)

      Intermediate · Professional Certificate · 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

    • Introduction to Data Science: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • Key Technologies for Business: IBM Skills Network
    • IBM AI Foundations for Business: IBM Skills Network
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Applied Data Science: IBM Skills Network
    • Data Analysis and Visualization Foundations: IBM Skills Network
    • IBM Applied AI: IBM Skills Network
    • DeepLearning.AI TensorFlow Developer: 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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