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    Results for "data mining"

    • University of Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: User Story, SQL, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Goal Setting, Proposal Writing

      Earn a degree

      Degree · 1 - 4 Years

    • University of Illinois at Urbana-Champaign

      Master of Science in Management

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

    • Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, Regression Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Quality Assurance, Angular, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

    • Google Cloud

      Responsible AI for Developers: Fairness & Bias - Українська

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: User Story, SQL, Real-Time Operating Systems, Model Based Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Goal Setting, Proposal Writing

      Earn a degree

      Degree · 1 - 4 Years

    • Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New

      Google Cloud

      BigQuery para analistas de datos

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Industrial Internet of Things Graduate Certificate

      Skills you'll gain: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, Product Development, Power Electronics, Analytics, Embedded Systems, Control Systems, File Systems, Internet Of Things, User Experience, Process Control, New Product Development, Data Analysis, Debugging, Machine Learning, General Networking, User Interface (UI), Machine Controls, Embedded Software

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New

      Google Cloud

      データ アナリストのための BigQuery

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Clemson University

      Master of Science in Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • University of Illinois at Urbana-Champaign

      Business Analytics Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • University of Illinois at Urbana-Champaign

      Master of Science in Accounting

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to data mining

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    practical engineering data mining: techniques and uses
    pattern discovery in data mining
    1…592593594…595

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

    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • Master of Science in Management: University of Illinois at Urbana-Champaign
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Responsible AI for Developers: Fairness & Bias - Українська: Google Cloud
    • Master of Science in Computer Science: University of Colorado Boulder
    • Microsoft R Programming for Everyone: Microsoft
    • BigQuery para analistas de datos: Google Cloud
    • Industrial Internet of Things Graduate Certificate: University of Colorado Boulder
    • データ アナリストのための BigQuery: Google Cloud
    • Master of Science in Computer Science: Clemson University

    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.‎

    Online Data Mining courses offer a convenient and flexible way to enhance your knowledge or learn new Data Mining skills. Choose from a wide range of Data Mining courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Mining, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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