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    • Data Mining

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    362 results for "data mining"

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      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Computer Programming, Statistical Programming, Python Programming, Data Management, Theoretical Computer Science, Cloud Computing, Databases, Software Engineering, Computer Programming Tools, Human Computer Interaction, Software Architecture, User Experience, Operating Systems, Amazon Web Services, Linux, Extract, Transform, Load, Data Structures, SQL, Cloud Platforms, Apache, Application Development, Big Data, Data Analysis, Data Engineering, DevOps, Programming Principles, Software Engineering Tools, Database Administration, Database Application, Applied Machine Learning, Cloud Applications, Cloud Engineering, Machine Learning, Machine Learning Algorithms, Systems Design, Data Mining

      4.5

      (155 reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (8k reviews)

      Beginner · Specialization · 1-3 Months

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      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Cloud Computing, Machine Learning, Applied Machine Learning, Business Analysis, Business Transformation, Cloud Standards, Computer Science, Entrepreneurship, Google Cloud Platform, Innovation, Research and Design, Small Data, Data Science, Information Technology, Machine Learning Software, Statistical Programming, Cloud API, Cloud Infrastructure, Cloud Platforms, Google App Engine, Python Programming, Business Psychology, Computer Security Incident Management, Culture, Leadership and Management, Security Engineering, Security Strategy, Computer Vision, Machine Learning Algorithms, Natural Language Processing, SQL, Algorithms, Business Intelligence, Cloud Storage, Data Warehousing, Human Resources, Leadership Development, Strategy, Strategy and Operations, Theoretical Computer Science

      4.7

      (6.1k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Programming, Regression, Deep Learning, Data Analysis, Artificial Neural Networks, Applied Machine Learning, Correlation And Dependence, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algorithms, Reinforcement Learning, Theoretical Computer Science, Basic Descriptive Statistics, Data Mining, Feature Engineering, General Statistics, Natural Language Processing, Data Management, Data Structures, Dimensionality Reduction

      3.1

      (27 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Illinois at Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Python Programming, Statistical Programming, Algorithms, Calculus, Data Analysis, Data Mining, Mathematics, Natural Language Processing, Theoretical Computer Science

      4.5

      (398 reviews)

      Mixed · Course · 1-3 Months

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      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Data Analysis Software, Data Mining, Microsoft Excel, Spreadsheet Software

      4.6

      (966 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Colorado Boulder

      Fundamentals of Data Visualization

      Skills you'll gain: Data Visualization

      4.9

      (14 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of California, Irvine

      Intro to Analytic Thinking, Data Science, and Data Mining

      Skills you'll gain: Business Analysis, Data Analysis, Data Management, Probability & Statistics, Big Data, Data Mining, Data Structures, Statistical Analysis, Theoretical Computer Science, Advertising, Communication

      4.1

      (99 reviews)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Excel for Beginners: Pivot Tables

      Skills you'll gain: Business Analysis, Data Analysis, Data Mining, Microsoft Excel, Spreadsheet Software

      4.7

      (16 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Illinois at Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Business Analysis, Business Communication, Communication, Data Analysis, Data Visualization, Data Visualization Software, Storytelling, Data Mining

      4.6

      (528 reviews)

      Intermediate · Course · 1-4 Weeks

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      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: R Programming, Statistical Programming

      Intermediate · Course · 1-4 Weeks

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      University of Michigan

      Information Extraction from Free Text Data in Health

      Skills you'll gain: Computer Programming, Computer Programming Tools, Python Programming

      Intermediate · Course · 1-4 Weeks

    Searches related to data mining

    data mining foundations and practice
    data mining methods
    data mining pipeline
    data mining of clinical databases - cdss 1
    data mining project
    data mining for smart cities
    predictive analytics and data mining
    cluster analysis in data mining
    1234…31

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

    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Machine Learning: DeepLearning.AI
    • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Cluster Analysis in Data Mining: University of Illinois at Urbana-Champaign
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Fundamentals of Data Visualization: University of Colorado Boulder
    • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
    • Excel for Beginners: Pivot Tables: Coursera Project Network
    • Introduction to Business Analytics: Communicating with Data: University of Illinois at Urbana-Champaign

    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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