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    • Data Mining

    Data Mining Courses Online

    Understand data mining principles for discovering patterns in large datasets. Learn to use machine learning algorithms for predictive analysis.

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    Explore the Data Mining Course Catalog

    • I

      ISC2

      Security Principles

      Skills you'll gain: Security Controls, Information Assurance, Cybersecurity, Risk Management Framework, Information Systems Security, Security Awareness, Cyber Governance, Security Management, Cyber Security Policies, Cyber Risk, Data Ethics, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      541 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Interfacing with the Raspberry Pi

      Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Embedded Systems, Network Protocols, USB, General Networking, Electronic Hardware, Systems Design, Hardware Design, Computer Hardware, Peripheral Devices, Electrical Engineering, Python Programming, Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Incident Response and Digital Forensics

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Detection, Cyber Threat Hunting, Incident Management, Cybersecurity, Security Management, Security Information and Event Management (SIEM), Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Regression Models

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Entrepreneurship 3: Growth Strategies

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Digital Marketing, Performance Measurement, Entrepreneurship, Customer Acquisition Management, Business Metrics, Marketing Strategies, Cost Management, Market Dynamics, Business Strategies, Search Engine Optimization, Human Resources Management and Planning, Talent Management, Forecasting, Organizational Structure, Public Relations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Trustworthy Generative AI

      Skills you'll gain: ChatGPT, Ideation, Verification And Validation, Generative AI, Creative Thinking, Creativity, Risk Management Framework, OpenAI, Artificial Intelligence, Data Ethics, Technical Communication, Problem Solving, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      561 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Analyze Data in a Model Car Database with MySQL Workbench

      Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, SQL, Analytical Skills, Database Management, Technical Communication, Relational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability, Probability Distribution, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Machine Learning, Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera

      Use Generative AI as Your Thought Partner

      Skills you'll gain: Generative AI, Leadership, Strategic Decision-Making, Thought Leadership, Brainstorming, Artificial Intelligence, Business Strategy, Forecasting, Adaptability, Change Management, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Managing Machine Learning Projects with Google Cloud

      Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Data Strategy, Business Ethics, Data Governance, Analytical Skills, Feasibility Studies, Business Analysis, Project Management Life Cycle, Business Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to NoSQL Databases

      Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      345 reviews

      Beginner · Course · 1 - 3 Months

    Data Mining learners also search

    Data
    R
    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
    Beginner Data Science
    1…828384…603

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

    • Security Principles: ISC2
    • Interfacing with the Raspberry Pi: University of California, Irvine
    • Incident Response and Digital Forensics: IBM
    • Regression Models: Johns Hopkins University
    • Entrepreneurship 3: Growth Strategies: University of Pennsylvania
    • Trustworthy Generative AI: Vanderbilt University
    • Analyze Data in a Model Car Database with MySQL Workbench: Coursera Project Network
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Feature Engineering: Google Cloud
    • Use Generative AI as Your Thought Partner: Coursera

    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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