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    162 results for "data mining"

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      IBM Skills Network

      IBM Data Science

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

      4.6

      (96.2k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.9

      (2.1k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Data Analyst

      Skills you'll gain: Algebra, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Matplotlib, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.6

      (52.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

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

      4.7

      (67.2k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Interactive Data Visualization, Leadership and Management, Marketing, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Programming Principles, R Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science

      4.7

      (10.8k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      Skills you'll gain: Analysis, Apache, Big Data, Business Analysis, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Leadership and Management, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Professional Development, Software, Spreadsheet Software, Statistical Visualization, System Programming

      4.7

      (10.5k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science

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

      4.6

      (39k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Analysis, Applied Machine Learning, Artificial Neural Networks, Cloud Computing, Cloud Platforms, Communication, Computer Vision, Data Analysis, Data Architecture, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Ethics, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression

      4.7

      (65.3k reviews)

      Beginner · Specialization · 1-3 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

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

      4.7

      (19.1k reviews)

      Beginner · Specialization · 3-6 Months

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      Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Spreadsheet Software, Data Mining, Communication, Leadership and Management, Small Data, Data Management, Business Analysis, Cloud Computing, Data Analysis, Project Management, Analysis, Business Communication, Budget Management, Spreadsheet, Data-Informed Decision-Making, Big Data, Finance

      4.7

      (15.5k reviews)

      Beginner · Course · 1-4 Weeks

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      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Analysis, Business Analysis, Chart, Computational Logic, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Visualization, Extract, Transform, Load, Lookup Table, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Modeling, Spreadsheet Software, Theoretical Computer Science

      4.9

      (53.1k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      What is Data Science?

      Skills you'll gain: Communication, Data Mining, Analysis, Regression, Data Analysis, Probability & Statistics, General Statistics

      4.7

      (56.3k reviews)

      Beginner · Course · 1-4 Weeks

    Searches related to data mining

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    1234…14

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

    • IBM Data Science: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • IBM Data Analyst: IBM Skills Network
    • Key Technologies for Business: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Data Analysis and Visualization Foundations: IBM Skills Network
    • Applied Data Science: IBM Skills Network
    • IBM AI Foundations for Business: IBM
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • Ask Questions to Make Data-Driven Decisions: Google

    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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