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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

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Computers and Operating Systems and Security

      Skills you'll gain: Computer Systems, Business Software, Operating Systems, Generative AI, Business Systems, Cybersecurity, Enterprise Security, Servers, Computer Hardware, Information Systems Security, Data Storage, Patch Management, Microsoft 365, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      3D Printing and Additive Manufacturing

      Skills you'll gain: 3D Modeling, Design Software, Design Thinking, Intellectual Property, Hardware Troubleshooting, Visualization (Computer Graphics), Computer Hardware, Hardware Design, Augmented and Virtual Reality (AR/VR), Manufacturing Processes, Emerging Technologies, Digital Design, Technical Design, Manufacturing and Production, Mechanical Design, Computer Graphics, Graphical Tools, Control Systems, Innovation, Industrial Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Planning

      Skills you'll gain: Demand Planning, Forecasting, Customer Demand Planning, Supply Chain Planning, Sales Management, Time Series Analysis and Forecasting, Supply Chain Management, Production Planning, Trend Analysis, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Essential Design Principles for Tableau

      Skills you'll gain: Data Visualization Software, Tableau Software, Exploratory Data Analysis, Data Presentation, Data Analysis, Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, Usability, Design Elements And Principles, Color Theory, Data Ethics, Human Factors, Aesthetics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Cloudera

      Modern Big Data Analysis with SQL

      Skills you'll gain: Database Design, SQL, Apache Hive, Relational Databases, Databases, Database Management, Big Data, Database Systems, MySQL, Data Management, Query Languages, Amazon S3, Apache Hadoop, Data Storage, Operational Databases, Cloud Storage, Performance Tuning, PostgreSQL, Data Manipulation, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Market Research and Consumer Behavior

      Skills you'll gain: Survey Creation, Surveys, Market Research, Business Research, Consumer Behaviour, Marketing Strategies, Research Design, Data Analysis, Research Reports, Market Analysis, Research Methodologies, Experimentation, Customer Analysis, Focus Group, Business Marketing, Decision Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Computer Communications

      Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, Network Performance Management, Computer Networking, Network Model, Network Infrastructure, Wireless Networks, Telecommunications, Software-Defined Networking, Algorithms, System Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • W

      Workday

      Workday Basics Series

      Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Data Security, Organizational Structure, Branding, Data Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Sales and CRM Overview

      Skills you'll gain: Sales Process, Sales, Salesforce, Customer Relationship Management (CRM) Software, Sales Operations, Customer Relationship Management, Sales Development, B2B Sales, Data Management, Customer Data Management, Databases, Data Cleansing, Business-To-Consumer

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · 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…535455…608

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

    • Introduction to Computers and Operating Systems and Security: Microsoft
    • 3D Printing and Additive Manufacturing: University of Illinois Urbana-Champaign
    • Supply Chain Planning: Rutgers the State University of New Jersey
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Essential Design Principles for Tableau: University of California, Davis
    • Modern Big Data Analysis with SQL: Cloudera
    • Market Research and Consumer Behavior: IE Business School
    • Computer Communications: University of Colorado System
    • Workday Basics Series: Workday
    • C++ For C Programmers, Part A: University of California, Santa Cruz

    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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