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    • Data Mining

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    365 results for "data mining"

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      University of Pennsylvania

      Business Analytics

      Skills you'll gain: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science

      4.6

      (17.2k reviews)

      Beginner · Specialization · 3-6 Months

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      Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Business Analysis, Data Analysis, Communication, Big Data, Business Communication, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, Data Management, Leadership and Management, Small Data, Spreadsheet Software, Budget Management, Data Mining, Decision Making, Entrepreneurship, Finance, Problem Solving, Project Management

      4.7

      (23.3k reviews)

      Beginner · Course · 1-4 Weeks

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      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Plot (Graphics), Data Visualization, Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.9

      (56.6k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      AI Foundations for Everyone

      Skills you'll gain: Computer Science, Machine Learning, Applied Machine Learning, Data Science, Computational Thinking, Cloud Computing, IBM Cloud, Natural Language Processing, Computer Programming, Theoretical Computer Science, Deep Learning, Machine Learning Software, Computational Logic, Design and Product, Human Computer Interaction, Interactive Design, Product Design, Computer Vision, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools

      4.7

      (12.7k reviews)

      Beginner · Specialization · 3-6 Months

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      Stanford University

      AI in Healthcare

      Skills you'll gain: Machine Learning, Applied Machine Learning, Data Management, Finance, Leadership and Management, Clinical Data Management, Artificial Neural Networks, Data Analysis, Data Mining, Deep Learning, Machine Learning Algorithms, Payments, Regulations and Compliance, Risk Management, Accounting, Marketing

      4.7

      (1k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science

      Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Data Science, General Statistics, Statistical Analysis, Probability & Statistics, Statistical Tests, Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Machine Learning Software, Linear Algebra, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Regression, Data Visualization Software, Software Visualization, Statistical Visualization, Probability Distribution, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Plot (Graphics), Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Machine Learning Algorithms, Software Engineering Tools, Spreadsheet Software, Algorithms, Application Development, Applied Machine Learning, Business Analysis, Data Management, Extract, Transform, Load, Knitr

      4.5

      (49.9k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      What is Data Science?

      Skills you'll gain: Data Science, Data Mining, Regression, Basic Descriptive Statistics, Data Analysis, Big Data, Deep Learning, General Statistics, Machine Learning, Probability & Statistics, Storytelling, Writing

      4.7

      (61.8k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Java Programming, Mobile Development, Data Analysis, Programming Principles, Theoretical Computer Science, Data Visualization, Plot (Graphics), Mathematics, Data Management, Data Structures, Software Engineering, Software Testing, Data Mining, Computational Thinking, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design, Data Science

      4.4

      (1.2k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.3k reviews)

      Beginner · Specialization · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      Skills you'll gain: Cloud Computing, Google Cloud Platform, Cloud Platforms, Web Development, Cloud Applications, Cloud Storage, Cloud Load Balancing, Full-Stack Web Development, Information Technology, Computer Networking, Computer Architecture, Kubernetes, Cloud Infrastructure, Cloud Management, Strategy and Operations, Distributed Computing Architecture, Security Engineering, Cloud Engineering, Network Security, Project Management, Cloud-Based Integration, Network Architecture, Systems Design, Billing & Invoicing, Change Management, Computer Security Models, Data Management, Databases, DevOps, Finance, Leadership and Management, Other Cloud Platforms and Tools, SQL, Software Engineering, Software Testing, Cyberattacks, Google App Engine, Operations Management, Software As A Service, Big Data, Contract Management, Entrepreneurship, Extract, Transform, Load, Machine Learning Software, Network Model, Software Security, Statistical Programming, System Security

      4.7

      (57k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Engineer

      Skills you'll gain: Cloud Computing, Google Cloud Platform, Web Development, Full-Stack Web Development, Information Technology, Cloud Storage, Computer Architecture, Cloud Load Balancing, Kubernetes, Computer Networking, Cloud Infrastructure, Cloud Management, Cloud Platforms, Distributed Computing Architecture, Cloud Engineering, Network Architecture, Systems Design, Cloud Applications, Cloud-Based Integration, Data Management, Databases, Google App Engine, Operations Management, Other Cloud Platforms and Tools, SQL, Software As A Service, Strategy and Operations, Big Data, Contract Management, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Machine Learning Software, Network Model, Network Security, Security Engineering, Software Security, Statistical Programming, System Security

      4.7

      (56.8k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Computing, Google Cloud Platform, Web Development, Cloud Storage, Full-Stack Web Development, Cloud Load Balancing, Cloud Applications, Computer Architecture, Computer Networking, Cloud Management, Cloud Infrastructure, Distributed Computing Architecture, Cloud Engineering, Cloud-Based Integration, Network Architecture, Systems Design, Data Management, Databases, Other Cloud Platforms and Tools, SQL, Cloud Platforms, Cyberattacks, Google App Engine, Kubernetes, Operations Management, Security Engineering, Software As A Service, Strategy and Operations, Big Data, Contract Management, DevOps, Entrepreneurship, Extract, Transform, Load, Leadership and Management, Machine Learning Software, Network Model, Network Security, Software Security, Statistical Programming, System Security

      4.7

      (55.9k reviews)

      Intermediate · Specialization · 3-6 Months

    Searches related to data mining

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    1…456…31

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

    • Business Analytics: University of Pennsylvania
    • Ask Questions to Make Data-Driven Decisions: Google
    • Excel Skills for Business: Macquarie University
    • AI Foundations for Everyone: IBM Skills Network
    • AI in Healthcare: Stanford University
    • Data Science: Johns Hopkins University
    • What is Data Science?: IBM Skills Network
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Data Science: Foundations using R: Johns Hopkins University
    • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud

    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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