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    • Data Mining

    篩選依據

    ''data mining'的 162 個結果

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      University of Illinois at Urbana-Champaign

      Data Mining

      您將獲得的技能: Algorithms, Applied Machine Learning, Bayesian Statistics, Bioinformatics, Business Psychology, Calculus, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Documents, Entrepreneurship, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Probability & Statistics, Project Management, Python Programming, Recommender Systems, SQL, Software, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.5

      (2.7k 條評論)

      Intermediate · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      您將獲得的技能: Algorithms, Analysis, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (71.7k 條評論)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado Boulder

      Data Mining Foundations and Practice

      您將獲得的技能: Algorithms, Data Clustering Algorithms, Data Management, Data Warehousing, General Statistics, Probability & Statistics, Statistical Classification, Theoretical Computer Science

      3.0

      (9 條評論)

      Intermediate · Specialization · 1-3 Months

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      University of Michigan

      Applied Data Science with Python

      您將獲得的技能: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computational Logic, Computer Graphics, Computer Networking, Computer Programming, Data Analysis, Data Mining, Data Visualization, Econometrics, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Network Model, Plot (Graphics), Probability & Statistics, Programming Principles, Python Programming, Regression, Scikit-Learn, Statistical Machine Learning, Statistical Programming, Statistical Tests, Theoretical Computer Science

      4.5

      (32.2k 條評論)

      Intermediate · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      您將獲得的技能: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Inference, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (6.6k 條評論)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Data Mining Methods

      您將獲得的技能: Algorithms, Data Clustering Algorithms, Theoretical Computer Science

      Intermediate · Course · 1-4 Weeks

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      University of Illinois at Urbana-Champaign

      Predictive Analytics and Data Mining

      您將獲得的技能: Data Clustering Algorithms, Analytics, Bayesian Statistics, Accounting, Data Analysis, Econometrics, Algebra, Probability & Statistics, Marketing, Predictive Analytics, Entrepreneurship, Mathematics, Research and Design, Advertising, Algorithms, Theoretical Computer Science, Communication, Analysis, Market Research

      4.4

      (127 條評論)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Data Science

      您將獲得的技能: Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Modeling, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming

      4.6

      (70.9k 條評論)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      您將獲得的技能: Data Mining, Data Analysis, Data Analysis Software, Spreadsheet Software, Business Analysis, Analysis, Microsoft Excel

      4.6

      (333 條評論)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Glasgow

      Data mining of Clinical Databases - CDSS 1

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Data Mining Project

      Intermediate · Course · 1-4 Weeks

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      免費

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      West Virginia University

      Forensic Accounting and Fraud Examination

      您將獲得的技能: Strategy and Operations, Business Analysis, Accounting, Internality, Financial Analysis, Big Data, Data Analysis, Critical Thinking, Data Management, Data Analysis Software, General Accounting, Analysis, Audit, Data Mining

      4.7

      (4.5k 條評論)

      Mixed · Course · 1-3 Months

    與 data mining 相關的搜索

    data mining project
    data mining methods
    data mining of clinical databases - cdss 1
    data mining foundations and practice
    data mining pipeline
    predictive analytics and data mining
    pattern discovery in data mining
    cluster analysis in data mining
    1234…14

    總之,這是我們最受歡迎的 data mining 門課程中的 10 門

    • Data Mining: University of Illinois at Urbana-Champaign
    • Google Data Analytics: Google
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Applied Data Science with Python: University of Michigan
    • Data Analysis with R: Duke University
    • Data Mining Methods: University of Colorado Boulder
    • Predictive Analytics and Data Mining: University of Illinois at Urbana-Champaign
    • Introduction to Data Science: IBM Skills Network
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Data mining of Clinical Databases - CDSS 1: University of Glasgow

    您可以在 Machine Learning 中學到的技能

    Python 程序設計 (33)
    Tensorflow (32)
    深度學習 (30)
    人工神經網絡 (24)
    大數據 (18)
    統計分類 (17)
    強化學習 (13)
    代數 (10)
    貝葉斯定理 (10)
    線性代數 (10)
    線性回歸 (9)
    Numpy (9)

    關於 數據挖掘 的常見問題

    • 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.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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