Coursera
オンライン学位キャリアを探す企業用大学
  • 閲覧
  • 一番人気のコース
  • ログイン
  • 参加は無料
    Coursera
    • 閲覧
    • Data Mining
    Related topics:パターン認識プロセスマイニングデータデータ分析データベースビジネスインテリジェンス

    フィルター

    「data mining」の168件の結果

    • University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Data Mining

      習得できるスキル: Accounting, Algorithms, Bayesian Statistics, Big Data, Bioinformatics, Business Analysis, Calculus, Computational Logic, Computer Architecture, Computer Graphics, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Distributed Computing Architecture, Financial Analysis, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science, Visualization (Computer Graphics)

      4.5

      (2.7k件のレビュー)

      Intermediate · Specialization · 3+ Months

    • University of Colorado Boulder

      University of Colorado Boulder

      Data Mining Foundations and Practice

      習得できるスキル: Algorithms, Data Management, Data Warehousing, Theoretical Computer Science

      2.7

      (6件のレビュー)

      Intermediate · Specialization · 1-3 Months

    • Google

      Google

      Google Data Analytics

      習得できるスキル: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (57.6k件のレビュー)

      Beginner · Professional Certificate · 3+ Months

    • University of Michigan

      University of Michigan

      Applied Data Science with Python

      習得できるスキル: Algorithms, Analysis, Applied Machine Learning, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Probability & Statistics, Programming Principles, Python Programming, Regression, Social Network, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.5

      (31.8k件のレビュー)

      Intermediate · Specialization · 3+ Months

    • University of Colorado Boulder

      University of Colorado Boulder

      Data Mining Methods

      習得できるスキル: Theoretical Computer Science, Algorithms

      Intermediate · Course · 1-4 Weeks

    • 無料

      Stanford University

      Stanford University

      Machine Learning

      習得できるスキル: Econometrics, Machine Learning, Theoretical Computer Science, Other Programming Languages, Linear Algebra, General Statistics, Probability & Statistics, Support Vector Machine, Computer Networking, Mathematics, Computer Programming, Probability Distribution, Dimensionality Reduction, Applied Machine Learning, Network Security, Data Mining, Artificial Neural Networks, Calculus, Statistical Machine Learning, Distributed Computing Architecture, Computer Architecture, Data Analysis, Security Engineering, Natural Language Processing, Estimation, Machine Learning Algorithms, Geostatistics, Computer Vision, Differential Equations, Algorithms, Regression, Feature Engineering, Deep Learning, Data Analysis Software

      4.9

      (170k件のレビュー)

      Mixed · Course · 3+ Months

    • Placeholder
      University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Predictive Analytics and Data Mining

      習得できるスキル: Decision Tree, Bayesian Statistics, Econometrics, Algebra, Mathematics, R Programming, Theoretical Computer Science, Probability & Statistics, Data Analysis, Data Management, Analysis, Data Mining, Statistical Programming, Financial Analysis, Big Data, Business Analytics, Machine Learning, Rstudio, Analytics, Algorithms, Machine Learning Algorithms, Data Clustering Algorithms, Supply Chain and Logistics

      4.4

      (125件のレビュー)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      University of California, Irvine

      University of California, Irvine

      Intro to Analytic Thinking, Data Science, and Data Mining

      習得できるスキル: Theoretical Computer Science, Data Mining, Process, Data Structures, Accounting, Data Management, Probability & Statistics, Analysis, Business Analysis, Data Analysis, Big Data, Cloud Computing, Communication, Marketing, Statistical Analysis

      3.9

      (72件のレビュー)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      University of Colorado Boulder

      University of Colorado Boulder

      Data Mining Pipeline

      習得できるスキル: Data Management, Data Warehousing

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Università di Napoli Federico II

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Pattern Discovery in Data Mining

      習得できるスキル: Theoretical Computer Science, Probability & Statistics, Computer Programming, Data Analysis, Data Mining, Algorithms

      4.3

      (302件のレビュー)

      Mixed · Course · 1-3 Months

    • Placeholder
      University of Glasgow

      University of Glasgow

      Data mining of Clinical Databases - CDSS 1

      Intermediate · Course · 1-4 Weeks

    data miningに関連する検索

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

    要約して、data mining の人気コース10選をご紹介します。

    • Data Mining: University of Illinois at Urbana-Champaign
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Google Data Analytics: Google
    • Applied Data Science with Python: University of Michigan
    • Data Mining Methods: University of Colorado Boulder
    • Machine Learning: Stanford University
    • Predictive Analytics and Data Mining: University of Illinois at Urbana-Champaign
    • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
    • Data Mining Pipeline: University of Colorado Boulder
    • Machine Learning e Data Mining in R: Università di Napoli Federico II

    Machine Learningで学べるスキル

    Pythonプログラミング (33)
    TensorFlow (32)
    ディープラーニング (30)
    人工ニューラルネットワーク (24)
    ビッグデータ (18)
    統計的分類 (17)
    強化学習 (13)
    代数 (10)
    ベイズ (10)
    線型代数学 (10)
    線形回帰 (9)
    NumPy (9)

    データマイニングに関するよくある質問

    • 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.‎

    このFAQの内容は、情報提供のみを目的としています。受講生は、自分の個人的、職業的、経済的な目標に合ったコースやその他の資格を取得するために、さらに調べることをお勧めします。
    探索する他のトピック
    Placeholder
    芸術と人文
    338コース
    Placeholder
    ビジネス
    1095コース
    Placeholder
    コンピューターサイエンス
    668コース
    Placeholder
    データサイエンス
    425コース
    Placeholder
    情報技術
    145コース
    Placeholder
    健康
    471コース
    Placeholder
    数学と論理
    70コース
    Placeholder
    自己啓発
    137コース
    Placeholder
    物理科学とエンジニアリング
    413コース
    Placeholder
    社会科学
    401コース
    Placeholder
    言語学習
    150コース

    Coursera Footer

    キャリアをスタート、またはキャリアアップする

    • Google データアナリスト
    • Googleプロジェクトマネジメント
    • グーグルUXデザイン
    • Google ITサポート
    • IBMデータサイエンス
    • IBMデータアナリスト
    • ExcelとRを使用したIBMデータ分析
    • IBMサイバーセキュリティ・アナリスト
    • IBMデータエンジニアリング
    • IBMフルスタック・クラウドデベロッパー
    • Facebookソーシャルメディアマーケティング
    • Facebookマーケティング分析
    • Salesforce営業開発担当者
    • Salesforce Sales Operations
    • インテュイット簿記
    • Google Cloud 認定資格の取得準備:クラウドアーキテクト
    • Google Cloud 認定資格の取得準備:クラウドデータエンジニア
    • キャリアをスタートさせましょう
    • 証明書の取得準備
    • キャリアアップ

    人気のあるトピックを閲覧

    • 無料コース
    • 言語を学ぶ
    • Python
    • Java
    • Webデザイン
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • プロジェクトマネジメント
    • サイバーセキュリティ
    • 人事
    • データサイエンスの無料コース
    • 英語のスピーキング
    • コンテンツのライティング
    • フルスタックWeb開発
    • 人工知能
    • Cプログラミング
    • コミュニケーションスキル
    • ブロックチェーン
    • すべてのコースを見る

    人気のコースと記事

    • データサイエンスチームのためのスキル
    • データ駆動型意思決定
    • ソフトウェアエンジニアリングのスキル
    • エンジニアリングチームのためのソフトスキル
    • マネジメントスキル
    • マーケティングのスキル
    • セールスチームのためのスキル
    • プロダクトマネージャのスキル
    • ファイナンススキル
    • イギリスで人気のデータサイエンスコース
    • Beliebte Technologiekurse in Deutschland
    • 人気のサイバーセキュリティ証明書
    • 人気の IT 証明書
    • 人気の QL 証明書
    • マーケティングマネージャーキャリアガイド
    • プロジェクトマネージャーキャリアガイド
    • Pythonプログラミングスキル
    • Web開発者キャリアガイド
    • データアナリストのスキル
    • UXデザイナーのためのスキル

    オンラインで学位または証明書を取得する

    • MasterTrack®認定
    • プロフェッショナル認定
    • 大学証明書
    • MBAとビジネス学位
    • データサイエンスの学位
    • コンピュータサイエンスの学位
    • データ分析の学位
    • 公衆衛生学位
    • 社会科学の学位
    • 経営学の学位
    • ヨーロッパのトップレベルの大学の学位
    • 修士号
    • 学士号
    • パフォーマンスパスウェイの学位
    • BSc コース
    • 学士号とは何ですか?
    • 修士号の取得にはどれくらい時間がかかりますか?
    • オンラインMBAに価値がありますか?
    • 大学院で学ぶための7つの方法
    • すべての証明書を表示する

    Coursera

    • 概要
    • Courseraのサービス
    • リーダーシップ
    • キャリア
    • カタログ
    • Coursera Plus
    • プロフェッショナル認定
    • MasterTrack®認定
    • 学位
    • 企業用
    • 政府向け
    • キャンパス向け
    • パートナーになる
    • 新型コロナウイルス対策

    コミュニティ

    • 受講生
    • パートナー
    • 開発者
    • ベータテスター
    • 翻訳者
    • ブログ
    • 技術ブログ
    • 教育センター

    さらに表示

    • 報道関係者
    • 投資家
    • 規約
    • プライバシー
    • ヘルプ
    • アクセシビリティ
    • お問い合わせ
    • 記事
    • ディレクトリ
    • アフィリエイト
    場所を選ばす学習する
    App StoreからダウンロードGoogle Playで取得
    Placeholder
    ©2022 Coursera Inc.All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder